Kristian Kersting

626 papers A* 98A 38B 21C 10Misc 3Journal 323Unranked 106

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting deep Reinforcement Learning using pretraining with Logical Options. CoRR Zihan Ye, Phil Chau, Raban Emunds, Jannis Blüml, Cedric Derstroff, Quentin Delfosse, Oleg Arenz, Kristian Kersting
2026	J	`jnl`	Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits. CoRR Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2026	J	`jnl`	Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves. CoRR Jonas Knupp, Jan Hendrik Metzen, Jeremias Bohn, Georg Groh, Kristian Kersting
2026	J	`jnl`	Reactive Knowledge Representation and Asynchronous Reasoning. CoRR Simon Kohaut, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2026	J	`jnl`	Recursive Inference Machines for Neural Reasoning. CoRR Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus, Sriraam Natarajan, Kristian Kersting
2026	J	`jnl`	Right in Time: Reactive Reasoning in Regulated Traffic Spaces. CoRR Simon Kohaut, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2025	—	`conf`	A Learning and Reasoning Manifesto. Challenges and Algorithms for Knowledge Discovery from Data Luc De Raedt, Fredrik Heintz, Kristian Kersting, Giuseppe Marra
2025	J	`jnl`	APT: Alarm Prediction Transformer. Expert Syst. Appl. Nika Strem, Devendra Singh Dhami, Benedikt Schmidt, Benjamin Klöpper, Kristian Kersting
2025	J	`jnl`	ART: Adaptive Relation Tuning for Generalized Relation Prediction. CoRR Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth
2025	J	`jnl`	ActivationReasoning: Logical Reasoning in Latent Activation Spaces. CoRR Lukas Helff, Ruben Härle, Wolfgang Stammer, Felix Friedrich, Manuel Brack, Antonia Wüst, Hikaru Shindo, Patrick Schramowski, Kristian Kersting
2025	J	`jnl`	Adaptable Hindsight Experience Replay for Search-Based Learning. CoRR Alexandros Vazaios, Jannis Brugger, Cedric Derstroff, Kristian Kersting, Mira Mezini
2025	J	`jnl`	Auditing and instructing text-to-image generation models on fairness. AI Ethics Felix Friedrich, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Patrick Schramowski, Sasha Luccioni, Kristian Kersting
2025	J	`jnl`	Better Decisions through the Right Causal World Model. CoRR Elisabeth Dillies, Quentin Delfosse, Jannis Blüml, Raban Emunds, Florian Peter Busch, Kristian Kersting
2025	J	`jnl`	Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench. CoRR Felix Friedrich, Thiemo Ganesha Welsch, Manuel Brack, Patrick Schramowski, Kristian Kersting
2025	A*	`conf`	BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. ICLR Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2025	A*	`conf`	Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? ICML Antonia Wüst, Tim Nelson Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2025	J	`jnl`	Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin-Arthur Protocols. CoRR Björn Deiseroth, Max Henning Höth, Kristian Kersting, Letitia Parcalabescu
2025	J	`jnl`	CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models. CoRR Niharika Hegde, Subarnaduti Paul, Lars-Joel Frey, Manuel Brack, Kristian Kersting, Martin Mundt, Patrick Schramowski
2025	J	`jnl`	Causal Explanations Over Time: Articulated Reasoning for Interactive Environments. CoRR Sebastian Rödling, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2025	J	`jnl`	CausalMan: A physics-based simulator for large-scale causality. CoRR Nicholas Tagliapietra, Juergen Luettin, Lavdim Halilaj, Moritz Willig, Tim Pychynski, Kristian Kersting
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	—	`conf`	Core Tokensets for Data-Efficient Sequential Training of Transformers. ICCVW Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt
2025	A	`conf`	Credibility-Aware Multimodal Fusion Using Probabilistic Circuits. AISTATS Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2025	J	`jnl`	CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions. CoRR Simon Kohaut, Daniel Ochs, Shun Zhang, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	Deep Reinforcement Learning Agents are not even close to Human Intelligence. CoRR Quentin Delfosse, Jannis Blüml, Fabian Tatai, Théo Vincent, Bjarne Gregori, Elisabeth Dillies, Jan Peters, Constantin A. Rothkopf, Kristian Kersting
2025	J	`jnl`	Deep Reinforcement Learning via Object-Centric Attention. CoRR Jannis Blüml, Cedric Derstroff, Bjarne Gregori, Elisabeth Dillies, Quentin Delfosse, Kristian Kersting
2025	J	`jnl`	Elucidating linear programs by neural encodings. Frontiers Artif. Intell. Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition. CoRR Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby, Felix Friedrich, Maurice Kraus, Krishna Kalyan, Kourosh Nadi, Huu Nguyen, Kristian Kersting, Sören Auer
2025	J	`jnl`	EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection. CoRR Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby, Felix Friedrich, Maurice Kraus, Kourosh Nadi, Huu Nguyen, Kristian Kersting, Sören Auer
2025	J	`jnl`	Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data. CoRR Harsh Poonia, Felix Divo, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	Finding Dori: Memorization in Text-to-Image Diffusion Models Is Less Local Than Assumed. CoRR Antoni Kowalczuk, Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch
2025	J	`jnl`	Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information. CoRR Lukas Struppek, Dominik Hintersdorf, Hannah Struppek, Daniel Neider, Kristian Kersting
2025	J	`jnl`	Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks. CoRR Tim Woydt, Moritz Willig, Antonia Wüst, Lukas Helff, Wolfgang Stammer, Constantin A. Rothkopf, Kristian Kersting
2025	J	`jnl`	Forecasting Company Fundamentals. Trans. Mach. Learn. Res. Felix Divo, Eric Endress, Kevin Endler, Kristian Kersting, Devendra Singh Dhami
2025	C	`conf`	Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception. NeSy Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks. CoRR Nick Kocher, Christian Wassermann, Leona Hennig, Jonas Seng, Holger H. Hoos, Kristian Kersting, Marius Lindauer, Matthias S. Müller
2025	—	`conf`	How to Train Your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions. ICCVW Manuel Brack, Sudeep Katakol, Felix Friedrich, Patrick Schramowski, Hareesh Ravi, Kristian Kersting, Ajinkya Kale
2025	J	`jnl`	How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions. CoRR Manuel Brack, Sudeep Katakol, Felix Friedrich, Patrick Schramowski, Hareesh Ravi, Kristian Kersting, Ajinkya Kale
2025	J	`jnl`	Human-Allied Relational Reinforcement Learning. CoRR Fateme Golivand Darvishvand, Hikaru Shindo, Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan
2025	A*	`conf`	Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? AAAI Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting
2025	—	`conf`	Hyperparameter Optimization via Interacting with Probabilistic Circuits. AutoML Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
2025	J	`jnl`	Hyperparameter Optimization via Interacting with Probabilistic Circuits. CoRR Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
2025	—	`conf`	Industrial-Scale Autonomous eXplainable Iterative Learning. PRICAI (4) Nika Strem, Devendra Singh Dhami, Kristian Kersting
2025	A*	`conf`	Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. EMNLP Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, Felix Stollenwerk, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting
2025	J	`jnl`	Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. CoRR Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting
2025	J	`jnl`	LIME: Making LLM Data More Efficient with Linguistic Metadata Embeddings. CoRR Sebastian Sztwiertnia, Felix Friedrich, Kristian Kersting, Patrick Schramowski, Björn Deiseroth
2025	J	`jnl`	Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning. CoRR Zihan Ye, Oleg Arenz, Kristian Kersting
2025	A*	`conf`	LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models. ICML Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski
2025	A*	`conf`	METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. EMNLP Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma
2025	J	`jnl`	METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. CoRR Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma
2025	J	`jnl`	Measuring and Guiding Monosemanticity. CoRR Ruben Härle, Felix Friedrich, Manuel Brack, Stephan Wäldchen, Björn Deiseroth, Patrick Schramowski, Kristian Kersting
2025	—	`conf`	Multilingual Text-to-Image Generation Magnifies Gender Stereotypes. ACL (1) Felix Friedrich, Katharina Hämmerl, Patrick Schramowski, Manuel Brack, Jindrich Libovický, Alexander Fraser, Kristian Kersting
2025	J	`jnl`	Multimodal transformer for early alarm prediction. Eng. Appl. Artif. Intell. Nika Strem, Devendra Singh Dhami, Benedikt Schmidt, Kristian Kersting
2025	J	`jnl`	Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining. CoRR Rupert Mitchell, Kristian Kersting
2025	J	`jnl`	NeST: The neuro-symbolic transpiler. Int. J. Approx. Reason. Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2025	J	`jnl`	Object Centric Concept Bottlenecks. CoRR David Steinmann, Wolfgang Stammer, Antonia Wüst, Kristian Kersting
2025	A*	`conf`	ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding. ICLR Indraneil Paul, Haoyi Yang, Goran Glavas, Kristian Kersting, Iryna Gurevych
2025	J	`jnl`	ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding. CoRR Indraneil Paul, Haoyi Yang, Goran Glavas, Kristian Kersting, Iryna Gurevych
2025	J	`jnl`	Polynomial Regret Concentration of UCB for Non-Deterministic State Transitions. CoRR Can Cömer, Jannis Blüml, Cedric Derstroff, Kristian Kersting
2025	J	`jnl`	Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems. IEEE Trans. Intell. Transp. Syst. Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025	J	`jnl`	Probabilistic Mission Design in Neuro-Symbolic Systems. CoRR Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025	J	`jnl`	QuAnTS: Question Answering on Time Series. CoRR Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami
2025	—	`conf`	Right on Time: Revising Time Series Models by Constraining Their Explanations. ECML/PKDD (7) Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting
2025	J	`jnl`	SLR: An Automated Synthesis Framework for Scalable Logical Reasoning. CoRR Lukas Helff, Ahmad Omar, Felix Friedrich, Wolfgang Stammer, Antonia Wüst, Tim Woydt, Rupert Mitchell, Patrick Schramowski, Kristian Kersting
2025	J	`jnl`	STORM: Segment, Track, and Object Re-Localization from a Single Image. CoRR Yu Deng, Teng Cao, Hikaru Shindo, Jiahong Xue, Quentin Delfosse, Kristian Kersting
2025	—	`conf`	STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond. ACL (1) Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych
2025	A	`conf`	Scaling Probabilistic Circuits via Data Partitioning. UAI Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2025	J	`jnl`	Scaling Probabilistic Circuits via Data Partitioning. CoRR Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2025	J	`jnl`	Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation. Trans. Mach. Learn. Res. Florian Peter Busch, Moritz Willig, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	Synthesizing Visual Concepts as Vision-Language Programs. CoRR Antonia Wüst, Wolfgang Stammer, Hikaru Shindo, Lukas Helff, Devendra Singh Dhami, Kristian Kersting
2025	A*	`conf`	Systems with Switching Causal Relations: A Meta-Causal Perspective. ICLR Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
2025	J	`jnl`	Tagged for Direction: Pinning Down Causal Edge Directions with Precision. CoRR Florian Peter Busch, Moritz Willig, Florian Guldan, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation. CoRR Martin Mundt, Anaelia Ovalle, Felix Friedrich, A Pranav, Subarnaduti Paul, Manuel Brack, Kristian Kersting, William Agnew
2025	J	`jnl`	The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents. CoRR Simon Kohaut, Felix Divo, Navid Hamid, Benedict Flade, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2025	A	`conf`	The Constitutional Filter: Bayesian Estimation of Compliant Agents. IROS Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025	J	`jnl`	Tractable Representation Learning with Probabilistic Circuits. CoRR Steven Braun, Sahil Sidheekh, Antonio Vergari, Martin Mundt, Sriraam Natarajan, Kristian Kersting
2025	J	`jnl`	Tractable Representation Learning with Probabilistic Circuits. Trans. Mach. Learn. Res. Steven Braun, Sahil Sidheekh, Antonio Vergari, Martin Mundt, Sriraam Natarajan, Kristian Kersting
2025	J	`jnl`	V-LoL: A Diagnostic Dataset for Visual Logical Learning. J. Data-centric Mach. Learn. Res. Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2025	A*	`conf`	Where is the Truth? The Risk of Getting Confounded in a Continual World. ICML Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
2024	—	`conf`	"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper). RATIO Moritz Willig, Matej Zecevic, Kristian Kersting
2024	J	`jnl`	ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming. CoRR Simone Tedeschi, Felix Friedrich, Patrick Schramowski, Kristian Kersting, Roberto Navigli, Huu Nguyen, Bo Li
2024	A*	`conf`	Adaptive Rational Activations to Boost Deep Reinforcement Learning. ICLR Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting
2024	J	`jnl`	Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown. CoRR Cedric Derstroff, Jannis Brugger, Jannis Blüml, Mira Mezini, Stefan Kramer, Kristian Kersting
2024	J	`jnl`	Answer Set Networks: Casting Answer Set Programming into Deep Learning. CoRR Arseny Skryagin, Daniel Ochs, Phillip Deibert, Simon Kohaut, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	BOWLL: A Deceptively Simple Open World Lifelong Learner. CoRR Roshni Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt
2024	A*	`conf`	Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. ICLR Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
2024	—	`conf`	Benchmarking in Neuro-Symbolic AI. IJCLR Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024	—	`conf`	Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting. AutoML Jonas Seng, Fabian Kalter, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2024	J	`jnl`	BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. CoRR Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? CoRR Antonia Wüst, Tim Woydt, Lukas Helff, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2024	—	`conf`	Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching. AAAI Bridge Program Jonas Seng, Florian Peter Busch, Kristian Kersting
2024	B	`conf`	Chain Versus Common Cause: Biased Causal Strength Judgments in Humans and Large Language Models. CogSci Anita Keshmirian, Moritz Willig, Babak Hemmatian, Kristian Kersting, Ulrike Hahn, Tobias Gerstenberg
2024	J	`jnl`	Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess. CoRR Felix Helfenstein, Jannis Blüml, Johannes Czech, Kristian Kersting
2024	J	`jnl`	Core Tokensets for Data-efficient Sequential Training of Transformers. CoRR Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt
2024	J	`jnl`	Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits. CoRR Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2024	A	`conf`	Deep Classifier Mimicry without Data Access. AISTATS Steven Braun, Martin Mundt, Kristian Kersting
2024	A	`conf`	Defending Our Privacy with Backdoors. ECAI Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting
2024	A*	`conf`	DeiSAM: Segment Anything with Deictic Prompting. NeurIPS Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
2024	J	`jnl`	DeiSAM: Segment Anything with Deictic Prompting. CoRR Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
2024	J	`jnl`	Diagnostic Reasoning in Natural Language: Computational Model and Application. CoRR Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych
2024	—	`conf`	Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. NAACL-HLT Björn Deiseroth, Max Meuer, Nikolas Gritsch, Constantin Eichenberg, Patrick Schramowski, Matthias Aßenmacher, Kristian Kersting
2024	J	`jnl`	Does CLIP Know My Face? J. Artif. Intell. Res. Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting
2024	J	`jnl`	EXPIL: Explanatory Predicate Invention for Learning in Games. CoRR Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami
2024	J	`jnl`	Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images. Remote. Sens. Daniel Ochs, Karsten Wiertz, Sebastian Bußmann, Kristian Kersting, Devendra Singh Dhami
2024	A*	`conf`	Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint). IJCAI Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting
2024	J	`jnl`	Exploring the Adversarial Capabilities of Large Language Models. CoRR Lukas Struppek, Minh Hieu Le, Dominik Hintersdorf, Kristian Kersting
2024	A*	`conf`	Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models. NeurIPS Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch
2024	J	`jnl`	Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models. CoRR Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch
2024	J	`jnl`	Forecasting Company Fundamentals. CoRR Felix Divo, Eric Endress, Kevin Endler, Kristian Kersting, Devendra Singh Dhami
2024	A*	`conf`	Graph Neural Networks Need Cluster-Normalize-Activate Modules. NeurIPS Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Graph Neural Networks Need Cluster-Normalize-Activate Modules. CoRR Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. CoRR Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting
2024	J	`jnl`	Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? CoRR Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting
2024	J	`jnl`	Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing. CoRR Simon Kohaut, Nikolas Hohmann, Sebastian Brulin, Benedict Flade, Julian Eggert, Markus Olhofer, Jürgen Adamy, Devendra Singh Dhami, Kristian Kersting
2024	A*	`conf`	Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. NeurIPS Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting
2024	J	`jnl`	Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting
2024	J	`jnl`	Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
2024	J	`jnl`	Interpretable end-to-end Neurosymbolic Reinforcement Learning agents. CoRR Nils Grandien, Quentin Delfosse, Kristian Kersting
2024	A*	`conf`	LEDITS++: Limitless Image Editing Using Text-to-Image Models. CVPR Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos
2024	J	`jnl`	LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps. CoRR Felix Friedrich, Simone Tedeschi, Patrick Schramowski, Manuel Brack, Roberto Navigli, Huu Nguyen, Bo Li, Kristian Kersting
2024	J	`jnl`	LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment. CoRR Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski
2024	A*	`conf`	Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG. ICLR Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Learning by Self-Explaining. Trans. Mach. Learn. Res. Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting
2024	J	`jnl`	Learning differentiable logic programs for abstract visual reasoning. Mach. Learn. Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
2024	A*	`conf`	Learning to Intervene on Concept Bottlenecks. ICML David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
2024	J	`jnl`	Machine learning meets Kepler: inverting Kepler's equation for All vs All conjunction analysis. Mach. Learn. Sci. Technol. Kevin Otto, Simon Burgis, Kristian Kersting, Reinhold Bertrand, Devendra Singh Dhami
2024	—	`conf`	Masked Autoencoders are Efficient Continual Federated Learners. CoLLAs Subarnaduti Paul, Lars-Joel Frey, Roshni Ramanna Kamath, Kristian Kersting, Martin Mundt
2024	A*	`conf`	Mechanistic Design and Scaling of Hybrid Architectures. ICML Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
2024	J	`jnl`	Mechanistic Design and Scaling of Hybrid Architectures. CoRR Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
2024	J	`jnl`	Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. CoRR Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	—	`conf`	Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan
2024	J	`jnl`	Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You. CoRR Felix Friedrich, Katharina Hämmerl, Patrick Schramowski, Jindrich Libovický, Kristian Kersting, Alexander Fraser
2024	J	`jnl`	Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation. CoRR David Steinmann, Felix Divo, Maurice Kraus, Antonia Wüst, Lukas Struppek, Felix Friedrich, Kristian Kersting
2024	A*	`conf`	Neural Concept Binder. NeurIPS Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
2024	J	`jnl`	Neural Concept Binder. CoRR Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
2024	J	`jnl`	OCALM: Object-Centric Assessment with Language Models. CoRR Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier
2024	J	`jnl`	OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. RLJ Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting
2024	—	`conf`	Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation. WMT Eleftherios Avramidis, Annika Grützner-Zahn, Manuel Brack, Patrick Schramowski, Pedro Ortiz Suarez, Malte Ostendorff, Fabio Barth, Shushen Manakhimova, Vivien Macketanz, Georg Rehm, Kristian Kersting
2024	A	`conf`	Pix2Code: Learning to Compose Neural Visual Concepts as Programs. UAI Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Problem Solving Through Human-AI Preference-Based Cooperation. CoRR Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze
2024	A	`conf`	Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers. ECAI Johannes Czech, Jannis Blüml, Kristian Kersting, Hedinn Steingrimsson
2024	J	`jnl`	Right on Time: Revising Time Series Models by Constraining their Explanations. CoRR Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting
2024	J	`jnl`	SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs. CoRR Ruben Härle, Felix Friedrich, Manuel Brack, Björn Deiseroth, Patrick Schramowski, Kristian Kersting
2024	—	`conf`	StaR Maps: Unveiling Uncertainty in Geospatial Relations. ITSC Benedict Flade, Simon Kohaut, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	StaR Maps: Unveiling Uncertainty in Geospatial Relations. CoRR Simon Kohaut, Benedict Flade, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Structural causal models reveal confounder bias in linear program modelling. Mach. Learn. Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Systems with Switching Causal Relations: A Meta-Causal Perspective. CoRR Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
2024	A*	`conf`	T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. EMNLP Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
2024	J	`jnl`	T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. CoRR Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
2024	J	`jnl`	The Constitutional Filter. CoRR Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	J	`jnl`	Towards Probabilistic Clearance, Explanation and Optimization. CoRR Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	J	`jnl`	United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once. CoRR Maurice Kraus, Felix Divo, David Steinmann, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Where is the Truth? The Risk of Getting Confounded in a Continual World. CoRR Florian Peter Busch, Roshni Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
2024	J	`jnl`	xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories. CoRR Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting
2024	—	`conf`	Ψnet: Efficient Causal Modeling at Scale. PGM Florian Peter Busch, Moritz Willig, Jonas Seng, Kristian Kersting, Devendra Singh Dhami
2024	A	`conf`	χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. UAI Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2024	J	`jnl`	χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. CoRR Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2023	J	`jnl`	A typology for exploring the mitigation of shortcut behaviour. Nat. Mac. Intell. Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2023	A*	`conf`	ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. NeurIPS Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting
2023	—	`conf`	Active Feature Acquisition via Human Interaction in Relational domains. COMAD/CODS Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan
2023	J	`jnl`	AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. Frontiers Artif. Intell. Jannis Blüml, Johannes Czech, Kristian Kersting
2023	J	`jnl`	AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. CoRR Mayukh Deb, Björn Deiseroth, Samuel Weinbach, Patrick Schramowski, Kristian Kersting
2023	—	`conf`	Balancing Transparency and Risk: An Overview of the Security and Privacy Risks of Open-Source Machine Learning Models. AISoLA (Selected Papers) Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
2023	J	`jnl`	Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models. CoRR Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
2023	J	`jnl`	Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks. CoRR Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
2023	—	`conf`	Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
2023	J	`jnl`	Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. CoRR Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. Trans. Mach. Learn. Res. Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2023	A*	`conf`	Characteristic Circuits. NeurIPS Zhongjie Yu, Martin Trapp, Kristian Kersting
2023	J	`jnl`	Characteristic Circuits. CoRR Zhongjie Yu, Martin Trapp, Kristian Kersting
2023	—	`conf`	ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. WASSA@ACL Sophie F. Jentzsch, Kristian Kersting
2023	J	`jnl`	ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models. CoRR Sophie F. Jentzsch, Kristian Kersting
2023	J	`jnl`	Combining AI and AM - Improving approximate matching through transformer networks. Digit. Investig. Frieder Uhlig, Lukas Struppek, Dominik Hintersdorf, Thomas Göbel, Harald Baier, Kristian Kersting
2023	J	`jnl`	Deep Classifier Mimicry without Data Access. CoRR Steven Braun, Martin Mundt, Kristian Kersting
2023	J	`jnl`	Defending Our Privacy With Backdoors. CoRR Dominik Hintersdorf, Lukas Struppek, Daniel Neider, Kristian Kersting
2023	J	`jnl`	Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge. CoRR Manuel Brack, Patrick Schramowski, Kristian Kersting
2023	J	`jnl`	Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. CoRR Björn Deiseroth, Max Meuer, Nikolas Gritsch, Constantin Eichenberg, Patrick Schramowski, Matthias Aßenmacher, Kristian Kersting
2023	A*	`conf`	Do Not Marginalize Mechanisms, Rather Consolidate! NeurIPS Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Do Not Marginalize Mechanisms, Rather Consolidate! CoRR Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Explanatory Interactive Machine Learning. Bus. Inf. Syst. Eng. Nicolas Pfeuffer, Lorenz Baum, Wolfgang Stammer, Benjamin M. Abdel-Karim, Patrick Schramowski, Andreas M. Bucher, Christian Hügel, Gernot Rohde, Kristian Kersting, Oliver Hinz
2023	J	`jnl`	Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis. J. Artif. Intell. Res. Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting
2023	J	`jnl`	Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. CoRR Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting
2023	J	`jnl`	From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? CoRR Yannik Keller, Jannis Blüml, Gopika Sudhakaran, Kristian Kersting
2023	A*	`conf`	ILLUME: Rationalizing Vision-Language Models through Human Interactions. ICML Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting
2023	J	`jnl`	Image Classifiers Leak Sensitive Attributes About Their Classes. CoRR Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting
2023	A*	`conf`	Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. NeurIPS Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. CoRR Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman. CoRR Jannis Weil, Johannes Czech, Tobias Meuser, Kristian Kersting
2023	J	`jnl`	LEDITS++: Limitless Image Editing using Text-to-Image Models. CoRR Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos
2023	J	`jnl`	Learning Differentiable Logic Programs for Abstract Visual Reasoning. CoRR Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Learning by Self-Explaining. CoRR Wolfgang Stammer, Felix Friedrich, David Steinmann, Hikaru Shindo, Kristian Kersting
2023	J	`jnl`	Learning to Intervene on Concept Bottlenecks. CoRR David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
2023	J	`jnl`	Learning with privileged and sensitive information: a gradient-boosting approach. Frontiers Artif. Intell. Siwen Yan, Phillip Odom, Rahul Pasunuri, Kristian Kersting, Sriraam Natarajan
2023	J	`jnl`	Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data. CoRR Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting
2023	J	`jnl`	Masked Autoencoders are Efficient Continual Federated Learners. CoRR Subarnaduti Paul, Lars-Joel Frey, Roshni Kamath, Kristian Kersting, Martin Mundt
2023	—	`conf`	Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs. ITSC Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2023	J	`jnl`	Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? CoRR Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting
2023	A*	`conf`	MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. NeurIPS Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
2023	J	`jnl`	MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. CoRR Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
2023	C	`conf`	Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. NeSy Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami
2023	—	`conf`	Never Ending Reasoning and Learning: Opportunities and Challenges. AAAI Bridge Program Sriraam Natarajan, Kristian Kersting
2023	J	`jnl`	Not All Causal Inference is the Same. Trans. Mach. Learn. Res. Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. CoRR Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting
2023	—	`conf`	One Explanation Does Not Fit XIL. Tiny Papers @ ICLR Felix Friedrich, David Steinmann, Kristian Kersting
2023	J	`jnl`	One Explanation Does Not Fit XIL. CoRR Felix Friedrich, David Steinmann, Kristian Kersting
2023	J	`jnl`	Probabilistic Circuits That Know What They Don't Know. CoRR Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2023	A	`conf`	Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference. UAI Sahil Sidheekh, Kristian Kersting, Sriraam Natarajan
2023	A	`conf`	Probabilistic circuits that know what they don't know. UAI Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2023	J	`jnl`	Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers. CoRR Johannes Czech, Jannis Blüml, Kristian Kersting
2023	A	`conf`	Revision Transformers: Instructing Language Models to Change Their Values. ECAI Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2023	A*	`conf`	Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. ICCV Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
2023	J	`jnl`	SEGA: Instructing Diffusion using Semantic Dimensions. CoRR Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
2023	A*	`conf`	SEGA: Instructing Text-to-Image Models using Semantic Guidance. NeurIPS Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
2023	J	`jnl`	SPARE: A Single-Pass Neural Model for Relational Databases. CoRR Benjamin Hilprecht, Kristian Kersting, Carsten Binnig
2023	A*	`conf`	Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. CVPR Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
2023	J	`jnl`	Scalable Neural-Probabilistic Answer Set Programming. CoRR Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Scalable Neural-Probabilistic Answer Set Programming. J. Artif. Intell. Res. Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Self Expanding Neural Networks. CoRR Rupert Mitchell, Martin Mundt, Kristian Kersting
2023	—	`conf`	Speaking Multiple Languages Affects the Moral Bias of Language Models. ACL (Findings) Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
2023	J	`jnl`	V-LoL: A Diagnostic Dataset for Visual Logical Learning. CoRR Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023	A*	`conf`	Vision Relation Transformer for Unbiased Scene Graph Generation. ICCV Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
2023	J	`jnl`	Vision Relation Transformer for Unbiased Scene Graph Generation. CoRR Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
2023	J	`jnl`	αILP: thinking visual scenes as differentiable logic programs. Mach. Learn. Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	A Typology to Explore and Guide Explanatory Interactive Machine Learning. CoRR Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2022	—	`conf`	Adaptable Adapters. NAACL-HLT Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych
2022	J	`jnl`	Adaptable Adapters. CoRR Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych
2022	J	`jnl`	Attributions Beyond Neural Networks: The Linear Program Case. CoRR Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2022	J	`jnl`	Boosting Object Representation Learning via Motion and Object Continuity. CoRR Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
2022	A*	`conf`	CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability. ICLR Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting
2022	J	`jnl`	CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models. CoRR Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
2022	J	`jnl`	Can Foundation Models Talk Causality? CoRR Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022	—	`conf`	Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? FAccT Patrick Schramowski, Christopher Tauchmann, Kristian Kersting
2022	J	`jnl`	Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? CoRR Patrick Schramowski, Christopher Tauchmann, Kristian Kersting
2022	J	`jnl`	Conditional sum-product networks: Modular probabilistic circuits via gate functions. Int. J. Approx. Reason. Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2022	B	`conf`	DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs. AIME Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	Declarative Learning-Based Programming as an Interface to AI Systems. Frontiers Artif. Intell. Parisa Kordjamshidi, Dan Roth, Kristian Kersting
2022	J	`jnl`	Differentiable Meta logical Programming. CoRR Zihan Ye, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	Do Multilingual Language Models Capture Differing Moral Norms? CoRR Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Alexander Fraser, Kristian Kersting
2022	—	`conf`	Explaining Deep Tractable Probabilistic Models: The sum-product network case. PGM Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan
2022	J	`jnl`	Finding Structure and Causality in Linear Programs. CoRR Matej Zecevic, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	Gradient-based Counterfactual Explanations using Tractable Probabilistic Models. CoRR Xiaoting Shao, Kristian Kersting
2022	J	`jnl`	HANF: Hyperparameter And Neural Architecture Search in Federated Learning. CoRR Jonas Seng, Pooja Prasad, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber. CoRR Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting
2022	A*	`conf`	Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CVPR Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
2022	—	`conf`	Interactively Providing Explanations for Transformer Language Models. HHAI Felix Friedrich, Patrick Schramowski, Christopher Tauchmann, Kristian Kersting
2022	J	`jnl`	Large pre-trained language models contain human-like biases of what is right and wrong to do. Nat. Mach. Intell. Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting
2022	—	`conf`	Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. FAccT Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting
2022	J	`jnl`	LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems. CoRR Björn Deiseroth, Patrick Schramowski, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	Machines Explaining Linear Programs. CoRR David Steinmann, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022	A*	`conf`	Neural-Probabilistic Answer Set Programming. KR Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2022	A*	`conf`	Neuro-Symbolic Verification of Deep Neural Networks. IJCAI Xuan Xie, Kristian Kersting, Daniel Neider
2022	J	`jnl`	Neuro-Symbolic Verification of Deep Neural Networks. CoRR Xuan Xie, Kristian Kersting, Daniel Neider
2022	J	`jnl`	Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. CoRR Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2022	A*	`conf`	Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. ICML Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting
2022	J	`jnl`	Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. CoRR Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting
2022	A	`conf`	Predictive Whittle networks for time series. UAI Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2022	J	`jnl`	Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22161). Dagstuhl Reports Priyank Jaini, Kristian Kersting, Antonio Vergari, Max Welling
2022	—	`conf`	Relational Active Feature Elicitation for DDDAS. DDDAS Nandini Ramanan, Phillip Odom, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2022	J	`jnl`	Relational tree ensembles and feature rankings. Knowl. Based Syst. Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski
2022	J	`jnl`	Revision Transformers: Getting RiT of No-Nos. CoRR Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2022	J	`jnl`	Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models. CoRR Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
2022	J	`jnl`	Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement. CoRR Xiaoting Shao, Karl Stelzner, Kristian Kersting
2022	J	`jnl`	Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. CoRR Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
2022	J	`jnl`	Speaking Multiple Languages Affects the Moral Bias of Language Models. CoRR Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski, Jindrich Libovický, Constantin A. Rothkopf, Alexander Fraser, Kristian Kersting
2022	A*	`conf`	Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming. KR Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation. CoRR Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models. CoRR Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
2022	J	`jnl`	The Stable Artist: Steering Semantics in Diffusion Latent Space. CoRR Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting
2022	A*	`conf`	To Trust or Not To Trust Prediction Scores for Membership Inference Attacks. IJCAI Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
2022	J	`jnl`	Towards a Solution to Bongard Problems: A Causal Approach. CoRR Salahedine Youssef, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022	J	`jnl`	Transformer-Boosted Anomaly Detection with Fuzzy Hashes. CoRR Frieder Uhlig, Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
2022	—	`conf`	Unsupervised Multi-sensor Anomaly Localization with Explainable AI. AIAI (1) Mina Ameli, Viktor Pfanschilling, Anar Amirli, Wolfgang Maaß, Kristian Kersting
2022	J	`jnl`	User-Level Label Leakage from Gradients in Federated Learning. Proc. Priv. Enhancing Technol. Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	J	`jnl`	CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability. CoRR Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting
2021	J	`jnl`	DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection. CoRR Steven Lang, Fabrizio Ventola, Kristian Kersting
2021	J	`jnl`	Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation. CoRR Karl Stelzner, Kristian Kersting, Adam R. Kosiorek
2021	J	`jnl`	Do Not Trust Prediction Scores for Membership Inference Attacks. CoRR Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
2021	J	`jnl`	Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data. Frontiers Robotics AI Plinio Moreno, Alexandre Bernardino, José Santos-Victor, Rodrigo M. M. Ventura, Kristian Kersting
2021	—	`conf`	Elevating Perceptual Sample Quality in PCs through Differentiable Sampling. Pre-Registration Workshop @ NeurIPS Steven Lang, Martin Mundt, Fabrizio Ventola, Robert Peharz, Kristian Kersting
2021	J	`jnl`	ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. Frontiers Robotics AI Niyati Rawal, Dorothea Koert, Cigdem Turan, Kristian Kersting, Jan Peters, Ruth Stock-Homburg
2021	J	`jnl`	Explaining Deep Tractable Probabilistic Models: The sum-product network case. CoRR Athresh Karanam, Saurabh Mathur, Predrag Radivojac, Kristian Kersting, Sriraam Natarajan
2021	J	`jnl`	Generative Adversarial Neural Cellular Automata. CoRR Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting
2021	B	`conf`	Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. ILP Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting
2021	A*	`conf`	Improving AlphaZero Using Monte-Carlo Graph Search. ICAPS Johannes Czech, Patrick Korus, Kristian Kersting
2021	J	`jnl`	Inferring Offensiveness In Images From Natural Language Supervision. CoRR Patrick Schramowski, Kristian Kersting
2021	J	`jnl`	Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CoRR Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
2021	J	`jnl`	Interactively Generating Explanations for Transformer Language Models. CoRR Patrick Schramowski, Felix Friedrich, Christopher Tauchmann, Kristian Kersting
2021	A*	`conf`	Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. NeurIPS Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
2021	J	`jnl`	Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. CoRR Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
2021	J	`jnl`	Intriguing Parameters of Structural Causal Models. CoRR Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	Language Models have a Moral Dimension. CoRR Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A. Rothkopf, Kristian Kersting
2021	J	`jnl`	Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. CoRR Lukas Struppek, Dominik Hintersdorf, Daniel Neider, Kristian Kersting
2021	A	`conf`	Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention. ICWSM David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo, Kristian Kersting
2021	J	`jnl`	Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression. CoRR Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2021	A	`conf`	Leveraging probabilistic circuits for nonparametric multi-output regression. UAI Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I ECML/PKDD (1) Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II ECML/PKDD (2) Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III PKDD/ECML (3) Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
2021	J	`jnl`	Neuro-Symbolic Forward Reasoning. CoRR Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	On the Tractability of Neural Causal Inference. CoRR Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting. CoRR Nils Thoma, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2021	J	`jnl`	Recurrent Rational Networks. CoRR Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting
2021	J	`jnl`	Relating Graph Neural Networks to Structural Causal Models. CoRR Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting
2021	A*	`conf`	Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. AAAI Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2021	A*	`conf`	Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. CVPR Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2021	J	`jnl`	Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. Frontiers Artif. Intell. Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer
2021	J	`jnl`	SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming. CoRR Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	Structural Causal Interpretation Theorem. CoRR Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2021	J	`jnl`	Structure learning for relational logistic regression: an ensemble approach. Data Min. Knowl. Discov. Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2021	J	`jnl`	Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits. CoRR Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	The Causal Loss: Driving Correlation to Imply Causation. CoRR Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	User Label Leakage from Gradients in Federated Learning. CoRR Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	A*	`conf`	Whittle Networks: A Deep Likelihood Model for Time Series. ICML Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2020	B	`conf`	Alfie: An Interactive Robot with Moral Compass. ICMI Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting
2020	J	`jnl`	Alfie: An Interactive Robot with a Moral Compass. CoRR Cigdem Turan, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting
2020	—	`conf`	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. PGM Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2020	—	`conf`	CryptoSPN: Expanding PPML beyond Neural Networks. PPMLP@CCS Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	A	`conf`	CryptoSPN: Privacy-Preserving Sum-Product Network Inference. ECAI Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	J	`jnl`	CryptoSPN: Privacy-preserving Sum-Product Network Inference. CoRR Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	J	`jnl`	DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
2020	—	`conf`	Discriminative Non-Parametric Learning of Arithmetic Circuits. PGM Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan
2020	A*	`conf`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. ICML Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	J	`jnl`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. CoRR Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	C	`conf`	Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski
2020	J	`jnl`	Fitted Q-Learning for Relational Domains. CoRR Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting
2020	A*	`conf`	Independence and D-separation in Abstract Argumentation. KR Tjitze Rienstra, Matthias Thimm, Kristian Kersting, Xiaoting Shao
2020	—	`conf`	Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen
2020	J	`jnl`	Learning attribute grammars for movement primitive sequencing. Int. J. Robotics Res. Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters
2020	J	`jnl`	Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data. Frontiers Artif. Intell. Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes Fürnkranz
2020	J	`jnl`	Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020	J	`jnl`	Matrix- and Tensor Factorization for Game Content Recommendation. Künstliche Intell. Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage, Kristian Kersting
2020	—	`conf`	Modelling Multivariate Ranking Functions with Min-Sum Networks. SUM Xiaoting Shao, Zhongjie Yu, Arseny Skryagin, Tjitze Rienstra, Matthias Thimm, Kristian Kersting
2020	J	`jnl`	Monte-Carlo Graph Search for AlphaZero. CoRR Johannes Czech, Patrick Korus, Kristian Kersting
2020	—	`conf`	On Hybrid and Systems AI. LWDA Kristian Kersting
2020	A*	`conf`	Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. ICLR Alejandro Molina, Patrick Schramowski, Kristian Kersting
2020	—	`conf`	Residual Sum-Product Networks. PGM Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2020	J	`jnl`	Rethinking Computer Science Through AI. Künstliche Intell. Kristian Kersting
2020	J	`jnl`	Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations. CoRR Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
2020	J	`jnl`	Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. CoRR Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020	J	`jnl`	Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation. CoRR Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer
2020	J	`jnl`	SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091). Dagstuhl Reports Kristian Kersting, Miryung Kim, Guy Van den Broeck, Thomas Zimmermann
2020	A*	`conf`	Structured Object-Aware Physics Prediction for Video Modeling and Planning. ICLR Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
2020	J	`jnl`	TUDataset: A collection of benchmark datasets for learning with graphs. CoRR Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann
2020	J	`jnl`	The Moral Choice Machine. Frontiers Artif. Intell. Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting
2020	J	`jnl`	Towards Understanding and Arguing with Classifiers: Recent Progress. Datenbank-Spektrum Xiaoting Shao, Tjitze Rienstra, Matthias Thimm, Kristian Kersting
2019	J	`jnl`	A unifying view of explicit and implicit feature maps of graph kernels. Data Min. Knowl. Discov. Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel
2019	A*	`conf`	Automatic Bayesian Density Analysis. AAAI Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
2019	J	`jnl`	BERT has a Moral Compass: Improvements of ethical and moral values of machines. CoRR Patrick Schramowski, Cigdem Turan, Sophie F. Jentzsch, Constantin A. Rothkopf, Kristian Kersting
2019	J	`jnl`	Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. CoRR Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
2019	J	`jnl`	Declarative Learning-Based Programming as an Interface to AI Systems. CoRR Parisa Kordjamshidi, Dan Roth, Kristian Kersting
2019	J	`jnl`	DeepDB: Learn from Data, not from Queries! CoRR Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
2019	—	`conf`	DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets. PKDD/ECML Workshops (1) Claas Völcker, Alejandro Molina, Johannes Neumann, Dirk Westermann, Kristian Kersting
2019	J	`jnl`	Editorial: Statistical Relational Artificial Intelligence. Frontiers Robotics AI Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, Sriraam Natarajan
2019	C	`conf`	Explanatory Interactive Machine Learning. AIES Stefano Teso, Kristian Kersting
2019	J	`jnl`	Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote. Sens. Anna Brugger, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, Anne-Katrin Mahlein
2019	A*	`conf`	Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. AAAI Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
2019	A*	`conf`	Faster Attend-Infer-Repeat with Tractable Probabilistic Models. ICML Karl Stelzner, Robert Peharz, Kristian Kersting
2019	Misc	`conf`	Gaussian Lifted Marginal Filtering. KI Stefan Lüdtke, Alejandro Molina, Kristian Kersting, Thomas Kirste
2019	J	`jnl`	Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data. CoRR Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes Fürnkranz
2019	J	`jnl`	Logic and Learning (Dagstuhl Seminar 19361). Dagstuhl Reports Michael Benedikt, Kristian Kersting, Phokion G. Kolaitis, Daniel Neider
2019	B	`conf`	Neural Networks for Relational Data. ILP Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
2019	J	`jnl`	Neural Networks for Relational Data. CoRR Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan
2019	J	`jnl`	Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning. Frontiers Big Data Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni
2019	J	`jnl`	Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning. CoRR Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni
2019	J	`jnl`	Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. CoRR Alejandro Molina, Patrick Schramowski, Kristian Kersting
2019	J	`jnl`	Random Sum-Product Forests with Residual Links. CoRR Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2019	A	`conf`	Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. UAI Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani
2019	—	`conf`	Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs. FPT Lukas Weber, Lukas Sommer, Julian Oppermann, Alejandro Molina, Kristian Kersting, Andreas Koch
2019	J	`jnl`	SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting
2019	J	`jnl`	Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach. Auton. Robots Laura Antanas, Plinio Moreno, Marion Neumann, Rui Pimentel de Figueiredo, Kristian Kersting, José Santos-Victor, Luc De Raedt
2019	C	`conf`	Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices. AIES Sophie F. Jentzsch, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting
2019	J	`jnl`	Structured Object-Aware Physics Prediction for Video Modeling and Planning. CoRR Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
2019	J	`jnl`	Was ist eine Professur fuer Kuenstliche Intelligenz? CoRR Kristian Kersting, Jan Peters, Constantin A. Rothkopf
2018	J	`jnl`	"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users. CoRR Stefano Teso, Kristian Kersting
2018	J	`jnl`	Automatic Bayesian Density Analysis. CoRR Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
2018	C	`conf`	Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators. ICCD Lukas Sommer, Julian Oppermann, Alejandro Molina, Carsten Binnig, Kristian Kersting, Andreas Koch
2018	A*	`conf`	Core Dependency Networks. AAAI Alejandro Molina, Alexander Munteanu, Kristian Kersting
2018	A*	`conf`	Efficient Symbolic Integration for Probabilistic Inference. IJCAI Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting
2018	J	`jnl`	From Big Data to Big Artificial Intelligence? - Algorithmic Challenges and Opportunities of Big Data. Künstliche Intell. Kristian Kersting, Ulrich Meyer
2018	A*	`conf`	Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. ICRA Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters
2018	A*	`conf`	Lifted Filtering via Exchangeable Decomposition. IJCAI Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
2018	J	`jnl`	Lifted Filtering via Exchangeable Decomposition. CoRR Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
2018	J	`jnl`	Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines. Frontiers Big Data Kristian Kersting
2018	J	`jnl`	Making AI Smarter. Künstliche Intell. Kristian Kersting
2018	A*	`conf`	Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. AAAI Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
2018	J	`jnl`	Model-based Approximate Query Processing. CoRR Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting
2018	J	`jnl`	Neural Conditional Gradients. CoRR Patrick Schramowski, Christian Bauckhage, Kristian Kersting
2018	J	`jnl`	Probabilistic Deep Learning using Random Sum-Product Networks. CoRR Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani
2018	A*	`conf`	Structure Learning for Relational Logistic Regression: An Ensemble Approach. KR Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2018	J	`jnl`	Structure Learning for Relational Logistic Regression: An Ensemble Approach. CoRR Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2018	A*	`conf`	Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito
2018	A*	`conf`	Systems AI: A Declarative Learning Based Programming Perspective. IJCAI Parisa Kordjamshidi, Dan Roth, Kristian Kersting
2017	J	`jnl`	A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels. CoRR Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel
2017	J	`jnl`	Coresets for Dependency Networks. CoRR Alejandro Molina, Alexander Munteanu, Kristian Kersting
2017	—	`ch.`	Gaussian Process. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Kristian Kersting, Zhao Xu
2017	J	`jnl`	Global Weisfeiler-Lehman Graph Kernels. CoRR Christopher Morris, Kristian Kersting, Petra Mutzel
2017	A*	`conf`	Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. ICDM Christopher Morris, Kristian Kersting, Petra Mutzel
2017	—	`conf`	Graph Enhanced Memory Networks for Sentiment Analysis. ECML/PKDD (1) Zhao Xu, Romain Vial, Kristian Kersting
2017	—	`conf`	Interactive Data Analytics for the Humanities. CICLing (1) Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Fürnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson
2017	A*	`conf`	Lifted Inference for Convex Quadratic Programs. AAAI Martin Mladenov, Leonard Kleinhans, Kristian Kersting
2017	—	`conf`	Modeling heart procedures from EHRs: An application of exponential families. BIBM Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan
2017	A*	`conf`	Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. AAAI Alejandro Molina, Sriraam Natarajan, Kristian Kersting
2017	A	`ed.`	Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017 UAI Gal Elidan, Kristian Kersting, Alexander Ihler
2017	B	`conf`	Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. ILP Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan
2017	J	`jnl`	Relational linear programming. Artif. Intell. Kristian Kersting, Martin Mladenov, Pavel Tokmakov
2017	J	`jnl`	Semantic Interpretation of Multi-Modal Human-Behaviour Data - Making Sense of Events, Activities, Processes. Künstliche Intell. Mehul Bhatt, Kristian Kersting
2017	J	`jnl`	Statistical Relational Learning of Grammar Rules for 3D Building Reconstruction. Trans. GIS Youness Dehbi, Fabian Hadiji, Gerhard Gröger, Kristian Kersting, Lutz Plümer
2017	—	`ch.`	Statistical Relational Learning. Encyclopedia of Machine Learning and Data Mining Luc De Raedt, Kristian Kersting
2017	A*	`conf`	Stochastic Online Anomaly Analysis for Streaming Time Series. IJCAI Zhao Xu, Kristian Kersting, Lorenzo von Ritter
2017	J	`jnl`	Sum-Product Networks for Hybrid Domains. CoRR Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
2017	—	`ch.`	Symbolic Dynamic Programming. Encyclopedia of Machine Learning and Data Mining Scott Sanner, Kristian Kersting
2017	A*	`conf`	The Symbolic Interior Point Method. AAAI Martin Mladenov, Vaishak Belle, Kristian Kersting
2016	J	`jnl`	Collective Attention on the Web. Found. Trends Web Sci. Christian Bauckhage, Kristian Kersting
2016	—	`book`	Computational Sustainability Jörg Lässig, Kristian Kersting, Katharina Morik
2016	—	`conf`	Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction. Solving Large Scale Learning Tasks Sriraam Natarajan, Ameet Soni, Anurag Wazalwar, Dileep Viswanathan, Kristian Kersting
2016	A*	`conf`	Faster Kernels for Graphs with Continuous Attributes via Hashing. ICDM Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel
2016	J	`jnl`	Faster Kernels for Graphs with Continuous Attributes via Hashing. CoRR Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel
2016	—	`ch.`	Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. Computational Sustainability Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer
2016	J	`jnl`	How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification? Entropy Piotr Szymanski, Tomasz Kajdanowicz, Kristian Kersting
2016	J	`jnl`	How is a data-driven approach better than random choice in label space division for multi-label classification? CoRR Piotr Szymanski, Tomasz Kajdanowicz, Kristian Kersting
2016	A*	`conf`	Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. AAAI Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan
2016	B	`conf`	Learning Through Advice-Seeking via Transfer. ILP Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan
2016	A*	`conf`	Learning Using Unselected Features (LUFe). IJCAI Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto
2016	J	`jnl`	Lifted Convex Quadratic Programming. CoRR Martin Mladenov, Leonard Kleinhans, Kristian Kersting
2016	J	`jnl`	Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting
2016	J	`jnl`	Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
2016	—	`conf`	RELOOP: A Python-Embedded Declarative Language for Relational Optimization. AAAI Workshop: Declarative Learning Based Programming Martin Mladenov, Danny Heinrich, Leonard Kleinhans, Felix Gonsior, Kristian Kersting
2016	A	`conf`	Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. SDM Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan
2016	—	`book`	Statistical Relational Artificial Intelligence: Logic, Probability, and Computation Statistical Relational Artificial Intelligence Luc De Raedt, Kristian Kersting, Sriraam Natarajan, David Poole
2016	J	`jnl`	The Symbolic Interior Point Method. CoRR Martin Mladenov, Vaishak Belle, Kristian Kersting
2015	J	`jnl`	Automated interpretation of 3D laserscanned point clouds for plant organ segmentation. BMC Bioinform. Mirwaes Wahabzada, Stefan Paulus, Kristian Kersting, Anne-Katrin Mahlein
2015	A*	`conf`	Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation. IJCAI Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting
2015	A	`conf`	Equitable Partitions of Concave Free Energies. UAI Martin Mladenov, Kristian Kersting
2015	J	`jnl`	Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases. Mach. Learn. Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik
2015	A	`conf`	How Viral Are Viral Videos? ICWSM Christian Bauckhage, Fabian Hadiji, Kristian Kersting
2015	—	`conf`	LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches. VTC Fall Christoph Ide, Fabian Hadiji, Lars Habel, Alejandro Molina, Thomas Zaksek, Michael Schreckenberg, Kristian Kersting, Christian Wietfeld
2015	J	`jnl`	Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks. CoRR Christian Bauckhage, Kristian Kersting, Fabian Hadiji
2015	B	`conf`	Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. AIME Shuo Yang, Kristian Kersting, Greg Terry, Jeffrey Carr, Sriraam Natarajan
2015	A	`conf`	Parameterizing the Distance Distribution of Undirected Networks. UAI Christian Bauckhage, Kristian Kersting, Fabian Hadiji
2015	J	`jnl`	Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data. Mach. Learn. Fabian Hadiji, Alejandro Molina, Sriraam Natarajan, Kristian Kersting
2015	—	`conf`	Predicting Purchase Decisions in Mobile Free-to-Play Games. AIIDE Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, Christian Bauckhage
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2015	J	`jnl`	Statistical Relational Artificial Intelligence: From Distributions through Actions to Optimization. Künstliche Intell. Kristian Kersting, Sriraam Natarajan
2015	A*	`conf`	Transfer Learning via Relational Type Matching. ICDM Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan
2015	J	`jnl`	pyGPs: a Python library for Gaussian process regression and classification. J. Mach. Learn. Res. Marion Neumann, Shan Huang, Daniel E. Marthaler, Kristian Kersting
2014	—	`conf`	A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck. StarAI@AAAI Shrutika Poyrekar, Sriraam Natarajan, Kristian Kersting
2014	—	`book`	Boosted Statistical Relational Learners - From Benchmarks to Data-Driven Medicine Sriraam Natarajan, Kristian Kersting, Tushar Khot, Jude W. Shavlik
2014	—	`conf`	Collective attention to social media evolves according to diffusion models. WWW (Companion Volume) Christian Bauckhage, Kristian Kersting, Bashir Rastegarpanah
2014	A	`conf`	Dimension Reduction via Colour Refinement. ESA Martin Grohe, Kristian Kersting, Martin Mladenov, Erkal Selman
2014	B	`conf`	Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. ILP Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik
2014	A	`conf`	Efficient Lifting of MAP LP Relaxations Using k-Locality. AISTATS Martin Mladenov, Kristian Kersting, Amir Globerson
2014	B	`conf`	Erosion Band Features for Cell Phone Image Based Plant Disease Classification. ICPR Marion Neumann, Lisa Hallau, Benjamin Klatt, Kristian Kersting, Christian Bauckhage
2014	A*	`conf`	Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels. ICDM Nils M. Kriege, Marion Neumann, Kristian Kersting, Petra Mutzel
2014	J	`jnl`	High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline. CoRR Laura Antanas, Plinio Moreno, Marion Neumann, Rui Pimentel de Figueiredo, Kristian Kersting, José Santos-Victor, Luc De Raedt
2014	J	`jnl`	Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends. Inform. Spektrum Christian Bauckhage, Kristian Kersting, Christian Thurau
2014	A*	`conf`	Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. ICDM Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan
2014	A	`conf`	Lifted Message Passing as Reparametrization of Graphical Models. UAI Martin Mladenov, Amir Globerson, Kristian Kersting
2014	A*	`conf`	Lifting Relational MAP-LPs Using Cluster Signatures. AAAI Udi Apsel, Kristian Kersting, Martin Mladenov
2014	—	`conf`	Lifting Relational MAP-LPs using Cluster Signatures. StarAI@AAAI Udi Apsel, Kristian Kersting, Martin Mladenov
2014	—	`conf`	Mind the Nuisance: Gaussian Process Classification using Privileged Noise. NIPS Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto
2014	J	`jnl`	Mind the Nuisance: Gaussian Process Classification using Privileged Noise. CoRR Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto
2014	—	`conf`	Population Size Extrapolation in Relational Probabilistic Modelling. SUM David Poole, David Buchman, Seyed Mehran Kazemi, Kristian Kersting, Sriraam Natarajan
2014	A*	`conf`	Power Iterated Color Refinement. AAAI Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe
2014	—	`conf`	Predicting player churn in the wild. CIG Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting, Christian Bauckhage
2014	—	`conf`	Preface. StarAI@AAAI Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole
2014	J	`jnl`	Propagation Kernels. CoRR Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
2014	J	`jnl`	Relational Linear Programs. CoRR Kristian Kersting, Martin Mladenov, Pavel Tokmakov
2014	A*	`conf`	Relational Logistic Regression. KR Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
2014	—	`conf`	Relational Logistic Regression: The Directed Analog of Markov Logic Networks. StarAI@AAAI Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
2014	J	`jnl`	Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain. Int. J. Mach. Learn. Cybern. Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards, Tushar Khot, Elizabeth M. Davenport, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2014	J	`jnl`	Strong Regularities in Growth and Decline of Popularity of Social Media Services. CoRR Christian Bauckhage, Kristian Kersting
2013	B	`conf`	Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. ILP Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
2013	J	`jnl`	Can Computers Learn from the Aesthetic Wisdom of the Crowd? Künstliche Intell. Christian Bauckhage, Kristian Kersting
2013	C	`conf`	Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. ACML Marion Neumann, Roman Garnett, Kristian Kersting
2013	J	`jnl`	Data Mining and Pattern Recognition in Agriculture. Künstliche Intell. Christian Bauckhage, Kristian Kersting
2013	J	`jnl`	Dimension Reduction via Colour Refinement. CoRR Martin Grohe, Kristian Kersting, Martin Mladenov, Erkal Selman
2013	C	`conf`	Early Prediction of Coronary Artery Calcification Levels Using Machine Learning. IAAI Sriraam Natarajan, Kristian Kersting, Edward Hak-Sing Ip, David R. Jacobs Jr., Jeffrey Carr
2013	J	`jnl`	Efficient Information Theoretic Clustering on Discrete Lattices. CoRR Christian Bauckhage, Kristian Kersting
2013	J	`jnl`	Exploiting symmetries for scaling loopy belief propagation and relational training. Mach. Learn. Babak Ahmadi, Kristian Kersting, Martin Mladenov, Sriraam Natarajan
2013	J	`jnl`	GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science CoRR Fabian Hadiji, Kristian Kersting, Christian Bauckhage, Babak Ahmadi
2013	J	`jnl`	Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Data Min. Knowl. Discov. Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	J	`jnl`	Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Mach. Learn. Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`conf`	Lifted Inference via k-Locality. StarAI@AAAI Martin Mladenov, Kristian Kersting
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I ECML/PKDD (1) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II ECML/PKDD (2) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III ECML/PKDD (3) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`conf`	MapReduce Lifting for Belief Propagation. StarAI@AAAI Babak Ahmadi, Kristian Kersting, Sriraam Natarajan
2013	A	`conf`	Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes. ICWSM Christian Bauckhage, Kristian Kersting, Fabian Hadiji
2013	—	`conf`	Preface. StarAI@AAAI Vibhav Gogate, Kristian Kersting, Sriraam Natarajan, David Poole
2013	A*	`conf`	Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP. AAAI Fabian Hadiji, Kristian Kersting
2013	—	`conf`	Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP. StarAI@AAAI Fabian Hadiji, Kristian Kersting
2013	J	`jnl`	The AAAI-13 Conference Workshops. AI Mag. Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar
2013	—	`conf`	Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. StarAI@AAAI Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik
2012	J	`jnl`	'Say EM' for Selecting Probabilistic Models for Logical Sequences CoRR Kristian Kersting, Tapani Raiko
2012	—	`conf`	A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. ICMLA (1) Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2012	J	`jnl`	A Revised Publication Model for ECML PKDD CoRR Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2012	—	`conf`	Accelarating Imitation Learning in Relational Domains via Transfer by Initialization. StarAI@UAI Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
2012	—	`conf`	Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases. StarAI@UAI David Poole, David Buchman, Sriraam Natarajan, Kristian Kersting
2012	J	`jnl`	Agriculture's Technological Makeover. IEEE Pervasive Comput. Christian Bauckhage, Kristian Kersting, Albrecht Schmidt
2012	J	`jnl`	Counting Belief Propagation CoRR Kristian Kersting, Babak Ahmadi, Sriraam Natarajan
2012	J	`jnl`	Descriptive matrix factorization for sustainability Adopting the principle of opposites. Data Min. Knowl. Discov. Christian Thurau, Kristian Kersting, Mirwaes Wahabzada, Christian Bauckhage
2012	A	`conf`	Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study. SDM Christian Thurau, Kristian Kersting, Christian Bauckhage
2012	—	`conf`	Efficient Graph Kernels by Randomization. ECML/PKDD (1) Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting
2012	A*	`conf`	Efficient Learning for Hashing Proportional Data. ICDM Zhao Xu, Kristian Kersting, Christian Bauckhage
2012	J	`jnl`	Exploration in relational domains for model-based reinforcement learning. J. Mach. Learn. Res. Tobias Lang, Marc Toussaint, Kristian Kersting
2012	—	`conf`	From Lifted Inference to Lifted Models. StarAI@UAI Daan Fierens, Kristian Kersting
2012	J	`jnl`	Gradient-based boosting for statistical relational learning: The relational dependency network case. Mach. Learn. Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik
2012	—	`conf`	How players lose interest in playing a game: An empirical study based on distributions of total playing times. CIG Christian Bauckhage, Kristian Kersting, Rafet Sifa, Christian Thurau, Anders Drachen, Alessandro Canossa
2012	J	`jnl`	Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants CoRR Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer
2012	A	`conf`	Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants. UAI Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer
2012	A	`conf`	Lifted Linear Programming. AISTATS Martin Mladenov, Babak Ahmadi, Kristian Kersting
2012	—	`conf`	Lifted Online Training of Relational Models with Stochastic Gradient Methods. ECML/PKDD (1) Babak Ahmadi, Kristian Kersting, Sriraam Natarajan
2012	A	`conf`	Lifted Probabilistic Inference. ECAI Kristian Kersting
2012	A	`conf`	Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. AISTATS Martin Schiegg, Marion Neumann, Kristian Kersting
2012	—	`conf`	Matrix Factorization as Search. ECML/PKDD (2) Kristian Kersting, Christian Bauckhage, Christian Thurau, Mirwaes Wahabzada
2012	B	`conf`	Pairwise Markov Logic. ILP Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov
2012	A*	`conf`	Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images. AAAI Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer
2012	—	`ed.`	STAIRS 2012 - Proceedings of the Sixth Starting AI Researchers' Symposium, Montpellier, France, 27-28 August 2012 STAIRS Kristian Kersting, Marc Toussaint
2012	A	`conf`	Simplex Distributions for Embedding Data Matrices over Time. SDM Kristian Kersting, Mirwaes Wahabzada, Christoph Römer, Christian Thurau, Agim Ballvora, Uwe Rascher, Jens Leon, Christian Bauckhage, Lutz Plümer
2012	—	`conf`	Symbolic Dynamic Programming for Continuous State and Observation POMDPs. NIPS Zahra Zamani, Scott Sanner, Pascal Poupart, Kristian Kersting
2011	—	`conf`	Biological Sequence Analysis meets Mobility Mining. LWA Ahmed Jawad, Kristian Kersting, Natalia V. Andrienko
2011	J	`jnl`	Convex non-negative matrix factorization for massive datasets. Knowl. Inf. Syst. Christian Thurau, Kristian Kersting, Mirwaes Wahabzada, Christian Bauckhage
2011	J	`jnl`	Decision-theoretic planning with generalized first-order decision diagrams. Artif. Intell. Saket Joshi, Kristian Kersting, Roni Khardon
2011	Misc	`conf`	Efficient Sequential Clamping for Lifted Message Passing. KI Fabian Hadiji, Babak Ahmadi, Kristian Kersting
2011	J	`jnl`	Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Mach. Learn. Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan
2011	A*	`conf`	Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
2011	—	`conf`	Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning. EWRL Kristian Kersting
2011	—	`conf`	Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation. ECML/PKDD (3) Mirwaes Wahabzada, Kristian Kersting
2011	A*	`conf`	Learning Markov Logic Networks via Functional Gradient Boosting. ICDM Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik
2011	J	`jnl`	Logical Hidden Markov Models CoRR Luc De Raedt, Kristian Kersting, Tapani Raiko
2011	A*	`conf`	Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation. AAAI Marion Neumann, Babak Ahmadi, Kristian Kersting
2011	A	`conf`	More influence means less work: fast latent dirichlet allocation by influence scheduling. CIKM Mirwaes Wahabzada, Kristian Kersting, Anja Pilz, Christian Bauckhage
2011	A*	`conf`	Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter. IJCAI Babak Ahmadi, Kristian Kersting, Scott Sanner
2011	A*	`conf`	Multi-task Learning with Task Relations. ICDM Zhao Xu, Kristian Kersting
2011	—	`conf`	O Scientist, Where Art Thou? Affiliation Propagation for Geo-Referencing Scientific Publications. LWA Babak Ahmadi, Salah Zayakh, Fabian Hadiji, Kristian Kersting
2011	—	`conf`	On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving. LWA Babak Ahmadi, Martin Mladenov, Kristian Kersting, Scott Sanner
2011	J	`jnl`	Perception beyond the Here and Now. Computer Albrecht Schmidt, Marc Langheinrich, Kristian Kersting
2011	—	`conf`	Where traffic meets DNA: mobility mining using biological sequence analysis revisited. GIS Ahmed Jawad, Kristian Kersting, Natalia V. Andrienko
2010	—	`ed.`	2nd International Workshop on Statistical Relational AI (StaRAI-12), held at the Uncertainty in Artificial Intelligence Conference (UAI 2012), Catalina Island, CA, USA, August 18, 2012 StarAI@UAI Henry A. Kautz, Kristian Kersting, Sriraam Natarajan, David Poole
2010	—	`conf`	Beyond 2D-grids: a dependence maximization view on image browsing. Multimedia Information Retrieval Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars, Wray L. Buntine
2010	—	`conf`	Convex NMF on Non-Convex Massiv Data. LWA Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage
2010	—	`conf`	Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. StarAI@AAAI Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
2010	—	`conf`	Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. ECML/PKDD (2) Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
2010	—	`conf`	Exploration in Relational Worlds. ECML/PKDD (2) Tobias Lang, Marc Toussaint, Kristian Kersting
2010	—	`conf`	Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. ECML/PKDD (3) Zhao Xu, Kristian Kersting, Thorsten Joachims
2010	—	`ch.`	Gaussian Process. Encyclopedia of Machine Learning Novi Quadrianto, Kristian Kersting, Zhao Xu
2010	C	`conf`	Hierarchical Convex NMF for Clustering Massive Data. ACML Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage
2010	A*	`conf`	Informed Lifting for Message-Passing. AAAI Kristian Kersting, Youssef El Massaoudi, Fabian Hadiji, Babak Ahmadi
2010	—	`conf`	Kernelized Map Matching for noisy trajectories. LWA Ahmed Jawad, Kristian Kersting
2010	—	`conf`	Kernelized map matching. GIS Ahmed Jawad, Kristian Kersting
2010	A	`conf`	Learning to hash logistic regression for fast 3D scan point classification. IROS Jens Behley, Kristian Kersting, Dirk Schulz, Volker Steinhage, Armin B. Cremers
2010	—	`conf`	Lifted Conditioning for Pairwise Marginals and Beyond. LWA Babak Ahmadi, Kristian Kersting, Fabian Hadiji
2010	—	`conf`	Lifted Message Passing for Satisfiability. StarAI@AAAI Fabian Hadiji, Kristian Kersting, Babak Ahmadi
2010	C	`conf`	Multi-Agent Inverse Reinforcement Learning. ICMLA Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
2010	—	`ch.`	Probabilistic Inductive Querying Using ProbLog. Inductive Databases and Constraint-Based Data Mining Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vítor Santos Costa, Hannu Toivonen
2010	J	`jnl`	Reports of the AAAI 2010 Conference Workshops. AI Mag. David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
2010	A*	`conf`	Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. ICAPS Saket Joshi, Kristian Kersting, Roni Khardon
2010	—	`ch.`	Statistical Relational Learning. Encyclopedia of Machine Learning Luc De Raedt, Kristian Kersting
2010	A*	`conf`	Symbolic Dynamic Programming for First-order POMDPs. AAAI Scott Sanner, Kristian Kersting
2010	—	`ch.`	Symbolic Dynamic Programming. Encyclopedia of Machine Learning Scott Sanner, Kristian Kersting
2010	—	`conf`	Topic Models Conditioned on Relations. ECML/PKDD (3) Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
2010	A	`conf`	Yes we can: simplex volume maximization for descriptive web-scale matrix factorization. CIKM Christian Thurau, Kristian Kersting, Christian Bauckhage
2009	J	`jnl`	A Bayesian regression approach to terrain mapping and an application to legged robot locomotion. J. Field Robotics Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard
2009	A*	`conf`	Convex Non-negative Matrix Factorization in the Wild. ICDM Christian Thurau, Kristian Kersting, Christian Bauckhage
2009	A	`conf`	Counting Belief Propagation. UAI Kristian Kersting, Babak Ahmadi, Sriraam Natarajan
2009	A*	`conf`	Generalized First Order Decision Diagrams for First Order Markov Decision Processes. IJCAI Saket Joshi, Kristian Kersting, Roni Khardon
2009	B	`conf`	ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. ILP Hannes Schulz, Kristian Kersting, Andreas Karwath
2009	A*	`conf`	Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine
2009	—	`conf`	Learning Preferences with Hidden Common Cause Relations. ECML/PKDD (1) Kristian Kersting, Zhao Xu
2009	A*	`conf`	Multi-Relational Learning with Gaussian Processes. IJCAI Zhao Xu, Kristian Kersting, Volker Tresp
2009	—	`ed.`	Proceedings of the Joint 7th Workshop on Mining and Learning with Graphs and the 6th International Workshop on Statistical Relational Learning, MLG/SRL@ILP 2009, Leuven, Belgium, July 2-4, 2009 MLG/SRL@ILP Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan
2009	—	`conf`	Relational Gaussian Processes for Learning Preference Relations. MLG/SRL@ILP Kristian Kersting, Zhao Xu
2009	A*	`conf`	Stacked Gaussian Process Learning. ICDM Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz
2008	—	`ch.`	Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming Kristian Kersting, Luc De Raedt
2008	A*	`conf`	Boosting Relational Sequence Alignments. ICDM Andreas Karwath, Kristian Kersting, Niels Landwehr
2008	J	`jnl`	Compressing probabilistic Prolog programs. Mach. Learn. Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen
2008	A	`conf`	Learning predictive terrain models for legged robot locomotion. IROS Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard
2008	A*	`conf`	Lifted Probabilistic Inference with Counting Formulas. AAAI Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling
2008	B	`conf`	Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong
2008	A*	`conf`	Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML Kristian Kersting, Kurt Driessens
2008	—	`conf`	Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) Christian Plagemann, Kristian Kersting, Wolfram Burgard
2008	—	`conf`	Parameter Learning in Probabilistic Databases: A Least Squares Approach. MLG@ICML Bernd Gutmann, Angelika Kimmig, Luc De Raedt, Kristian Kersting
2008	—	`conf`	Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt
2008	J	`jnl`	Preface. Ann. Math. Artif. Intell. Manfred Jaeger, Lise Getoor, Kristian Kersting
2008	—	`book`	Probabilistic Inductive Logic Programming - Theory and Applications Probabilistic Inductive Logic Programming Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen H. Muggleton
2008	—	`ch.`	Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming Luc De Raedt, Kristian Kersting
2008	—	`ed.`	Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 Probabilistic, Logical and Relational Learning - A Further Synthesis Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen H. Muggleton
2008	—	`ch.`	Relational Sequence Learning. Probabilistic Inductive Logic Programming Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr
2008	B	`conf`	SRL without Tears: An ILP Perspective. ILP Kristian Kersting
2008	—	`conf`	Social Network Mining with Nonparametric Relational Models. SNAKDD Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting
2008	—	`conf`	Towards Engaging Games. LWA Olana Missura, Kristian Kersting, Thomas Gärtner
2007	—	`conf`	07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen H. Muggleton
2007	—	`conf`	Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. Robotics: Science and Systems Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard
2007	J	`jnl`	Integrating Naïve Bayes and FOIL. J. Mach. Learn. Res. Niels Landwehr, Kristian Kersting, Luc De Raedt
2007	J	`jnl`	Learning to transfer optimal navigation policies. Adv. Robotics Kristian Kersting, Christian Plagemann, Alexandru Cocora, Wolfram Burgard, Luc De Raedt
2007	—	`ed.`	Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG Paolo Frasconi, Kristian Kersting, Koji Tsuda
2007	A*	`conf`	Most likely heteroscedastic Gaussian process regression. ICML Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard
2006	J	`jnl`	An inductive logic programming approach to statistical relational learning. AI Commun. Kristian Kersting
2006	—	`conf`	Fisher Kernels for Relational Data. ECML Uwe Dick, Kristian Kersting
2006	A	`conf`	Learning Relational Navigation Policies. IROS Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt
2006	J	`jnl`	Learning Relational Navigation Policies. Künstliche Intell. Alexandru Cocora, Kristian Kersting, Wolfram Burgard, Luc De Raedt, Christian Plagemann
2006	J	`jnl`	Logical Hidden Markov Models. J. Artif. Intell. Res. Kristian Kersting, Luc De Raedt, Tapani Raiko
2006	B	`conf`	Relational Sequence Alignments and Logos. ILP Andreas Karwath, Kristian Kersting
2006	B	`conf`	Revising Probabilistic Prolog Programs. ILP Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen
2006	A*	`conf`	Robust 3D Scan Point Classification using Associative Markov Networks. ICRA Rudolph Triebel, Kristian Kersting, Wolfram Burgard
2006	—	`conf`	TildeCRF: Conditional Random Fields for Logical Sequences. ECML Bernd Gutmann, Kristian Kersting
2005	A	`conf`	"Say EM" for Selecting Probabilistic Models for Logical Sequences. UAI Kristian Kersting, Tapani Raiko
2005	—	`—`	An Inductive Logic Programming Approach to Statistical Relational Learning Kristian Kersting
2005	A*	`conf`	Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI Luc De Raedt, Kristian Kersting, Sunna Torge
2005	A*	`conf`	nFOIL: Integrating Naïve Bayes and FOIL. AAAI Niels Landwehr, Kristian Kersting, Luc De Raedt
2004	—	`conf`	Balios - The Engine for Bayesian Logic Programs. PKDD Kristian Kersting, Uwe Dick
2004	A*	`conf`	Bellman goes relational. ICML Kristian Kersting, Martijn van Otterlo, Luc De Raedt
2004	—	`conf`	Fisher Kernels for Logical Sequences. ECML Kristian Kersting, Thomas Gärtner
2004	B	`conf`	Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP Kristian Kersting, Luc De Raedt
2004	B	`conf`	Probabilistic Inductive Logic Programming. ALT Luc De Raedt, Kristian Kersting
2003	J	`jnl`	Probabilistic logic learning. SIGKDD Explor. Luc De Raedt, Kristian Kersting
2003	—	`conf`	Scaled CGEM: A Fast Accelerated EM. ECML Jörg Fischer, Kristian Kersting
2003	Misc	`conf`	Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Pacific Symposium on Biocomputing Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt
2002	J	`jnl`	Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning. Artif. Intell. Medicine Steven Ganzert, Josef Guttmann, Kristian Kersting, Ralf Kuhlen, Christian Putensen, Michael Sydow, Stefan Kramer
2002	—	`conf`	Logical Hidden Markov Models (Extendes abstract). Probabilistic Graphical Models Kristian Kersting, Tapani Raiko, Luc De Raedt
2002	—	`conf`	Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. Probabilistic Graphical Models Kristian Kersting, Niels Landwehr
2001	B	`conf`	Adaptive Bayesian Logic Programs. ILP Kristian Kersting, Luc De Raedt
2001	J	`jnl`	Bayesian Logic Programs CoRR Kristian Kersting, Luc De Raedt
2001	B	`conf`	Towards Combining Inductive Logic Programming with Bayesian Networks. ILP Kristian Kersting, Luc De Raedt
2000	—	`conf`	Bayesian Logic Programs. ILP Work-in-progress reports Kristian Kersting, Luc De Raedt