Volker Tresp - RankMe

440 papers A* 49A 22B 18C 8Misc 10Journal 210Unranked 116

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. AAAI Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2026	A*	`conf`	OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model. AAAI Xingcheng Zhou, Xuyuan Han, Feng Yang, Yunpu Ma, Volker Tresp, Alois Knoll
2026	—	`conf`	Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. EACL (Findings) Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp
2026	J	`jnl`	Quantum Architecture Search with Unsupervised Representation Learning. Quantum Yize Sun, Zixin Wu, Volker Tresp, Yunpu Ma
2026	J	`jnl`	Tool Verification for Test-Time Reinforcement Learning. CoRR Ruotong Liao, Nikolai Röhrich, Xiaohan Wang, Yuhui Zhang, Yasaman Samadzadeh, Volker Tresp, Serena Yeung-Levy
2026	J	`jnl`	WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents. CoRR Yao Zhang, Shijie Tang, Zeyu Li, Zhen Han, Volker Tresp
2025	J	`jnl`	A Comparative Study on How Data Normalization Affects Zero-Shot Generalization in Time Series Foundation Models. CoRR Ihab Ahmed, Denis Krompaß, Cheng Feng, Volker Tresp
2025	J	`jnl`	AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. CoRR Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2025	J	`jnl`	AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction. CoRR Gengyuan Zhang, Tanveer Hannan, Hermine Kleiner, Beste Aydemir, Xinyu Xie, Jian Lan, Thomas Seidl, Volker Tresp, Jindong Gu
2025	J	`jnl`	Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation. CoRR Xiaowen Ma, Chenyang Lin, Yao Zhang, Volker Tresp, Yunpu Ma
2025	J	`jnl`	Bag of Tricks for Subverting Reasoning-based Safety Guardrails. CoRR Shuo Chen, Zhen Han, Haokun Chen, Bailan He, Shengyun Si, Jingpei Wu, Philip Torr, Volker Tresp, Jindong Gu
2025	J	`jnl`	Bayes or Heisenberg: Who(se) Rules? CoRR Volker Tresp, Hang Li, Federico Harjes, Yunpu Ma
2025	A	`conf`	CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. WACV Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2025	A	`conf`	Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu
2025	J	`jnl`	CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. CoRR Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma
2025	J	`jnl`	Deep Research Brings Deeper Harm. CoRR Shuo Chen, Zonggen Li, Zhen Han, Bailan He, Tong Liu, Haokun Chen, Georg Groh, Philip Torr, Volker Tresp, Jindong Gu
2025	J	`jnl`	Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. CoRR Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp
2025	J	`jnl`	DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. Trans. Mach. Learn. Res. Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma
2025	A*	`conf`	FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CVPR Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2025	J	`jnl`	FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models. CoRR Yao Zhang, Hewei Gao, Haokun Chen, Weiguo Li, Yunpu Ma, Volker Tresp
2025	A*	`conf`	FedPop: Federated Population-based Hyperparameter Tuning. AAAI Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp
2025	—	`conf`	FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. ACL (2) Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp
2025	J	`jnl`	FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. CoRR Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp
2025	J	`jnl`	GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning. CoRR Yao Zhang, Yu Wu, Haowei Zhang, Weiguo Li, Haokun Chen, Jingpei Wu, Guohao Li, Zhen Han, Volker Tresp
2025	J	`jnl`	Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration. CoRR Thomas Decker, Volker Tresp, Florian Buettner
2025	A	`conf`	Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. AISTATS Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
2025	J	`jnl`	Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. CoRR Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner
2025	—	`conf`	LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. ACL (1) Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma
2025	A*	`conf`	Localizing Events in Videos with Multimodal Queries. CVPR Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
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`	Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs. CoRR Gengyuan Zhang, Mingcong Ding, Tong Liu, Yao Zhang, Volker Tresp
2025	J	`jnl`	Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning. CoRR Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Hinrich Schütze, Volker Tresp, Yunpu Ma
2025	—	`conf`	Multimodal Pragmatic Jailbreak on Text-to-image Models. ACL (1) Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu
2025	J	`jnl`	PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection. CoRR Jinhe Bi, Yifan Wang, Danqi Yan, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma
2025	J	`jnl`	Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. CoRR Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp
2025	A	`conf`	Perceive. Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. WACV Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp
2025	J	`jnl`	ReEXplore: Improving MLLMs for Embodied Exploration with Contextualized Retrospective Experience Replay. CoRR Gengyuan Zhang, Mingcong Ding, Jingpei Wu, Ruotong Liao, Volker Tresp
2025	J	`jnl`	Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks
2025	A*	`conf`	SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. EMNLP Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou, Yunpu Ma, Volker Tresp
2025	J	`jnl`	SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. CoRR Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou, Yunpu Ma, Volker Tresp
2025	J	`jnl`	True Multimodal In-Context Learning Needs Attention to the Visual Context. CoRR Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2025	A*	`conf`	WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. AAAI Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp
2025	J	`jnl`	When and Where do Events Switch in Multi-Event Video Generation? CoRR Ruotong Liao, Guowen Huang, Qing Cheng, Thomas Seidl, Daniel Cremers, Volker Tresp
2025	J	`jnl`	Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations. CoRR Thomas Decker, Volker Tresp, Florian Buettner
2025	A*	`conf`	Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables. SIGIR Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
2024	—	`conf`	An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. D2R2 Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp
2024	A	`conf`	Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning. WACV Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp
2024	—	`conf`	Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. ESWC Satellite Events (1) Yaomengxi Han, Zifeng Ding, Yushan Liu, Bailan He, Volker Tresp
2024	Misc	`conf`	Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. ICASSP Yize Sun, Jiarui Liu, Yunpu Ma, Volker Tresp
2024	J	`jnl`	DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. CoRR Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Yunpu Ma, Michael M. Bronstein
2024	A	`conf`	Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. WACV Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
2024	A*	`conf`	Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
2024	J	`jnl`	Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. CoRR Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
2024	J	`jnl`	FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CoRR Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2024	A*	`conf`	FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2024	—	`conf`	GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. ICPR (16) Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl
2024	—	`conf`	GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. NAACL-HLT (Findings) Ruotong Liao, Xu Jia, Yangzhe Li, Yunpu Ma, Volker Tresp
2024	J	`jnl`	How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Decode Symbols. CoRR Volker Tresp, Hang Li
2024	J	`jnl`	Localizing Events in Videos with Multimodal Queries. CoRR Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu
2024	—	`conf`	LookupViT: Compressing Visual Information to a Limited Number of Tokens. ECCV (86) Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul
2024	J	`jnl`	LookupViT: Compressing visual information to a limited number of tokens. CoRR Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul
2024	J	`jnl`	Multimodal Pragmatic Jailbreak on Text-to-image Models. CoRR Tong Liu, Zhixin Lai, Gengyuan Zhang, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu
2024	J	`jnl`	PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. CoRR Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp
2024	J	`jnl`	Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. CoRR Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp
2024	A*	`conf`	Provably Better Explanations with Optimized Aggregation of Feature Attributions. ICML Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
2024	J	`jnl`	Provably Better Explanations with Optimized Aggregation of Feature Attributions. CoRR Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
2024	J	`jnl`	Quantum Architecture Search with Unsupervised Representation Learning. CoRR Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp
2024	J	`jnl`	Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu
2024	A*	`conf`	Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. CVPR Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
2024	J	`jnl`	Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu
2024	—	`conf`	Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. EMNLP (Findings) Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp
2024	—	`conf`	VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs. EMNLP (Findings) Ruotong Liao, Max Erler, Huiyu Wang, Guangyao Zhai, Gengyuan Zhang, Yunpu Ma, Volker Tresp
2024	J	`jnl`	VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs. CoRR Ruotong Liao, Max Erler, Huiyu Wang, Guangyao Zhai, Gengyuan Zhang, Yunpu Ma, Volker Tresp
2024	J	`jnl`	Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. CoRR Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma
2024	—	`conf`	Visual Question Decomposition on Multimodal Large Language Models. EMNLP (Findings) Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
2024	J	`jnl`	Visual Question Decomposition on Multimodal Large Language Models. CoRR Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu
2024	J	`jnl`	WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. CoRR Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp
2024	A	`conf`	What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. WACV Maximilian Bernhard, Roberto Amoroso, Yannic Kindermann, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp, Matthias Schubert
2024	B	`conf`	Why long model-based rollouts are no reason for bad Q-value estimates. ESANN Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp
2024	J	`jnl`	Why long model-based rollouts are no reason for bad Q-value estimates. CoRR Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp
2024	J	`jnl`	Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
2024	—	`conf`	zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. NAACL-HLT Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
2023	—	`conf`	A Knowledge Graph Perspective on Supply Chain Resilience. D2R2 Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp
2023	J	`jnl`	A Knowledge Graph Perspective on Supply Chain Resilience. CoRR Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp
2023	—	`conf`	A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. IntelliSys (3) Zifeng Ding, Yunpu Ma, Bailan He, Jingpei Wu, Zhen Han, Volker Tresp
2023	J	`jnl`	A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr
2023	B	`conf`	Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
2023	—	`conf`	Adversarial Attacks on Tables with Entity Swap. VLDB Workshops Aneta Koleva, Martin Ringsquandl, Volker Tresp
2023	J	`jnl`	Adversarial Attacks on Tables with Entity Swap. CoRR Aneta Koleva, Martin Ringsquandl, Volker Tresp
2023	A*	`conf`	Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. NeurIPS Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
2023	J	`jnl`	Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. CoRR Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
2023	J	`jnl`	Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning. CoRR Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp
2023	Misc	`conf`	Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. QCE Yize Sun, Yunpu Ma, Volker Tresp
2023	J	`jnl`	Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. CoRR Yize Sun, Yunpu Ma, Volker Tresp
2023	A*	`conf`	Do DALL-E and Flamingo Understand Each Other? ICCV Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
2023	Misc	`conf`	Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. ICASSP Thomas Decker, Michael Lebacher, Volker Tresp
2023	J	`jnl`	Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. CoRR Thomas Decker, Michael Lebacher, Volker Tresp
2023	—	`conf`	ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp
2023	J	`jnl`	Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. CoRR Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
2023	C	`conf`	Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN Thomas Decker, Michael Lebacher, Volker Tresp
2023	J	`jnl`	Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. CoRR Thomas Decker, Michael Lebacher, Volker Tresp
2023	J	`jnl`	Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. CoRR Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp
2023	A*	`conf`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	FedPop: Federated Population-based Hyperparameter Tuning. CoRR Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
2023	Misc	`conf`	ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp
2023	J	`jnl`	GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. CoRR Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl
2023	J	`jnl`	GenTKG: Generative Forecasting on Temporal Knowledge Graph. CoRR Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp
2023	J	`jnl`	GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models. CoRR Yuanchun Shen, Ruotong Liao, Zhen Han, Yunpu Ma, Volker Tresp
2023	—	`conf`	Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
2023	J	`jnl`	Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. CoRR Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
2023	A*	`conf`	InstanceFormer: An Online Video Instance Segmentation Framework. AAAI Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
2023	B	`conf`	Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. IJCNN Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp
2023	J	`jnl`	Modeling the evolution of temporal knowledge graphs with uncertainty. CoRR Soeren Nolting, Zhen Han, Volker Tresp
2023	A*	`conf`	Multi-event Video-Text Retrieval. ICCV Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
2023	J	`jnl`	Multi-event Video-Text Retrieval. CoRR Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
2023	—	`conf`	QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert
2023	J	`jnl`	SPOT! Revisiting Video-Language Models for Event Understanding. CoRR Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp
2023	J	`jnl`	Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. CoRR Hang Li, Chengzhi Shen, Philip H. S. Torr, Volker Tresp, Jindong Gu
2023	J	`jnl`	The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. Neural Comput. Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma
2023	J	`jnl`	Understanding and Improving In-Context Learning on Vision-language Models. CoRR Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu
2023	Misc	`conf`	Workshop Summary: Quantum Machine Learning. QCE Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2023	J	`jnl`	Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. CoRR Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
2022	J	`jnl`	A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. CoRR Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori
2022	—	`conf`	Are Vision Transformers Robust to Patch Perturbations? ECCV (12) Jindong Gu, Volker Tresp, Yao Qin
2022	—	`conf`	Biologically Inspired Neural Path Finding. BI Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers
2022	J	`jnl`	Biologically Inspired Neural Path Finding. CoRR Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers
2022	J	`jnl`	Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
2022	J	`jnl`	CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2022	J	`jnl`	Continuous Temporal Graph Networks for Event-Based Graph Data. CoRR Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang
2022	B	`conf`	Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR Ahmed Frikha, Denis Krompaß, Volker Tresp
2022	J	`jnl`	Do DALL-E and Flamingo Understand Each Other? CoRR Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
2022	J	`jnl`	Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp
2022	J	`jnl`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp
2022	—	`conf`	Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. AKBC Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	J	`jnl`	Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. CoRR Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	J	`jnl`	Forecasting Question Answering over Temporal Knowledge Graphs. CoRR Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp
2022	A*	`conf`	Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2022	A*	`conf`	Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp
2022	J	`jnl`	InstanceFormer: An Online Video Instance Segmentation Framework. CoRR Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
2022	J	`jnl`	Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. CoRR Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	—	`conf`	Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
2022	J	`jnl`	Named Entity Recognition in Industrial Tables using Tabular Language Models. CoRR Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
2022	B	`conf`	On Calibration of Graph Neural Networks for Node Classification. IJCNN Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
2022	J	`jnl`	On Calibration of Graph Neural Networks for Node Classification. CoRR Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
2022	—	`conf`	Relationformer: A Unified Framework for Image-to-Graph Generation. ECCV (37) Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
2022	J	`jnl`	Relationformer: A Unified Framework for Image-to-Graph Generation. CoRR Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
2022	—	`conf`	SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. ECCV (29) Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
2022	J	`jnl`	SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. CoRR Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
2022	A*	`conf`	TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
2022	—	`conf`	TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer
2022	C	`conf`	Towards Data-Free Domain Generalization. ACML Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2021	J	`jnl`	A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. CoRR Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp
2021	—	`conf`	Active Learning for Entity Alignment. ECIR (1) Max Berrendorf, Evgeniy Faerman, Volker Tresp
2021	J	`jnl`	Adaptive Multi-Resolution Attention with Linear Complexity. CoRR Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
2021	J	`jnl`	Adversarial Examples on Segmentation Models Can be Easy to Transfer. CoRR Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
2021	J	`jnl`	Are Vision Transformers Robust to Patch Perturbations? CoRR Jindong Gu, Volker Tresp, Yao Qin
2021	J	`jnl`	COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. CoRR Ahmed Frikha, Denis Krompaß, Volker Tresp
2021	A*	`conf`	Capsule Network Is Not More Robust Than Convolutional Network. CVPR Jindong Gu, Volker Tresp, Han Hu
2021	J	`jnl`	Capsule Network is Not More Robust than Convolutional Network. CoRR Jindong Gu, Volker Tresp, Han Hu
2021	J	`jnl`	Categorical EHR Imputation with Generative Adversarial Nets. CoRR Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching
2021	A	`conf`	Causal Inference under Networked Interference and Intervention Policy Enhancement. AISTATS Yunpu Ma, Volker Tresp
2021	A*	`conf`	Classification by Attention: Scene Graph Classification with Prior Knowledge. AAAI Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp
2021	—	`conf`	Description-based Label Attention Classifier for Explainable ICD-9 Classification. W-NUT Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp
2021	J	`jnl`	Description-based Label Attention Classifier for Explainable ICD-9 Classification. CoRR Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp
2021	A*	`conf`	Effective and Efficient Vote Attack on Capsule Networks. ICLR Jindong Gu, Baoyuan Wu, Volker Tresp
2021	J	`jnl`	Effective and Efficient Vote Attack on Capsule Networks. CoRR Jindong Gu, Baoyuan Wu, Volker Tresp
2021	A*	`conf`	Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. ICLR Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
2021	A*	`conf`	Few-Shot One-Class Classification via Meta-Learning. AAAI Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp
2021	—	`conf`	Generating Table Vector Representations. DL4KG@ISWC Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2021	J	`jnl`	Generating Table Vector Representations. CoRR Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2021	J	`jnl`	Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering. CoRR Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann
2021	Misc	`conf`	Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering. ISWC Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann
2021	J	`jnl`	Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021	Misc	`conf`	Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021	J	`jnl`	Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp
2021	—	`conf`	Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. EMNLP (1) Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp
2021	—	`ed.`	Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021. MLSMKG@PKDD/ECML Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, Volker Tresp
2021	A*	`conf`	Mutual Information State Intrinsic Control. ICLR Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
2021	J	`jnl`	Mutual Information State Intrinsic Control. CoRR Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
2021	B	`conf`	NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. SSDBM Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
2021	J	`jnl`	NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. CoRR Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
2021	J	`jnl`	Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
2021	B	`conf`	Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. ESWC Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
2021	A	`conf`	OODformer: Out-Of-Distribution Detection Transformer. BMVC Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
2021	J	`jnl`	OODformer: Out-Of-Distribution Detection Transformer. CoRR Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
2021	J	`jnl`	PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
2021	—	`conf`	Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
2021	J	`jnl`	Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. CoRR Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
2021	J	`jnl`	Quantum Machine Learning Algorithm for Knowledge Graphs. ACM Trans. Quantum Comput. Yunpu Ma, Volker Tresp
2021	J	`jnl`	Scenes and Surroundings: Scene Graph Generation using Relation Transformer. CoRR Rajat Koner, Poulami Sinhamahapatra, Volker Tresp
2021	B	`conf`	Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. IJCNN Jindong Gu, Rui Zhao, Volker Tresp
2021	J	`jnl`	TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
2021	J	`jnl`	Temporal Knowledge Graph Forecasting with Neural ODE. CoRR Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp
2021	J	`jnl`	The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding. CoRR Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma
2021	—	`conf`	Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework. EMNLP (1) Zhen Han, Gengyuan Zhang, Yunpu Ma, Volker Tresp
2021	J	`jnl`	Towards Data-Free Domain Generalization. CoRR Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2021	—	`conf`	Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. MLHC Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp
2021	J	`jnl`	Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. CoRR Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp
2020	B	`conf`	ARCADe: A Rapid Continual Anomaly Detector. ICPR Ahmed Frikha, Denis Krompaß, Volker Tresp
2020	J	`jnl`	ARCADe: A Rapid Continual Anomaly Detector. CoRR Ahmed Frikha, Denis Krompaß, Volker Tresp
2020	J	`jnl`	Active Learning for Entity Alignment. CoRR Max Berrendorf, Evgeniy Faerman, Volker Tresp
2020	—	`conf`	An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP (1) Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze
2020	J	`jnl`	Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
2020	A	`conf`	CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. CIKM Mehwish Alam, Paul Groth, Pascal Hitzler, Heiko Paulheim, Harald Sack, Volker Tresp
2020	J	`jnl`	Causal Inference under Networked Interference. CoRR Yunpu Ma, Yuyi Wang, Volker Tresp
2020	J	`jnl`	Classification by Attention: Scene Graph Classification with Prior Knowledge. CoRR Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp
2020	A	`conf`	Controllable Multi-Character Psychology-Oriented Story Generation. CIKM Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
2020	J	`jnl`	Controllable Multi-Character Psychology-Oriented Story Generation. CoRR Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
2020	J	`jnl`	Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020	—	`conf`	DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. EMNLP (1) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
2020	J	`jnl`	DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. CoRR Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
2020	J	`jnl`	Few-Shot One-Class Classification via Meta-Learning. CoRR Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp
2020	J	`jnl`	Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. CoRR Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp
2020	—	`conf`	Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. AKBC Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp
2020	Misc	`conf`	Human-Machine Collaboration for Medical Image Segmentation. ICASSP Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
2020	B	`conf`	Improving Visual Relation Detection using Depth Maps. ICPR Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp
2020	A*	`conf`	Improving the Robustness of Capsule Networks to Image Affine Transformations. CVPR Jindong Gu, Volker Tresp
2020	J	`jnl`	Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
2020	J	`jnl`	Interpretable Graph Capsule Networks for Object Recognition. CoRR Jindong Gu, Volker Tresp
2020	J	`jnl`	Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. CoRR Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
2020	—	`conf`	Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. WI/IAT Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
2020	—	`conf`	Introspective Learning by Distilling Knowledge from Online Self-explanation. ACCV (4) Jindong Gu, Zhiliang Wu, Volker Tresp
2020	J	`jnl`	Introspective Learning by Distilling Knowledge from Online Self-explanation. CoRR Jindong Gu, Zhiliang Wu, Volker Tresp
2020	—	`conf`	Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2020	—	`conf`	Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen
2020	—	`conf`	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
2020	J	`jnl`	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
2020	—	`conf`	Learning with Temporal Knowledge Graphs. CIKM (Workshops) Yunpu Ma, Zhen Han, Volker Tresp
2020	J	`jnl`	Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning. CoRR Rui Zhao, Volker Tresp, Wei Xu
2020	J	`jnl`	PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. CoRR Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann
2020	J	`jnl`	Quantum Machine Learning Algorithm for Knowledge Graphs. CoRR Yunpu Ma, Yuyi Wang, Volker Tresp
2020	A*	`conf`	Reasoning on Knowledge Graphs with Debate Dynamics. AAAI Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020	J	`jnl`	Reasoning on Knowledge Graphs with Debate Dynamics. CoRR Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020	J	`jnl`	Relation Transformer Network. CoRR Rajat Koner, Poulami Sinhamahapatra, Volker Tresp
2020	J	`jnl`	Relational and Fine-Grained Argument Mining. Datenbank-Spektrum Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze
2020	J	`jnl`	Representation Learning for the Semantic Web. J. Web Semant. Heiko Paulheim, Volker Tresp, Zhiyuan Liu
2020	J	`jnl`	Scene Graph Reasoning for Visual Question Answering. CoRR Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann
2020	A	`conf`	Search for Better Students to Learn Distilled Knowledge. ECAI Jindong Gu, Volker Tresp
2020	J	`jnl`	Search for Better Students to Learn Distilled Knowledge. CoRR Jindong Gu, Volker Tresp
2020	J	`jnl`	The Tensor Brain: Semantic Decoding for Perception and Memory. CoRR Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma
2020	J	`jnl`	xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. CoRR Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
2019	B	`conf`	A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp
2019	—	`conf`	Categorical EHR Imputation with Generative Adversarial Nets. ICHI Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching
2019	J	`jnl`	Contextual Prediction Difference Analysis. CoRR Jindong Gu, Volker Tresp
2019	J	`jnl`	Curiosity-Driven Experience Prioritization via Density Estimation. CoRR Rui Zhao, Volker Tresp
2019	J	`jnl`	Embedding models for episodic knowledge graphs. J. Web Semant. Yunpu Ma, Volker Tresp, Erik A. Daxberger
2019	J	`jnl`	Improving Visual Relation Detection using Depth Maps. CoRR Sahand Sharifzadeh, Max Berrendorf, Volker Tresp
2019	J	`jnl`	Improving the Robustness of Capsule Networks to Image Affine Transformations. CoRR Jindong Gu, Volker Tresp
2019	J	`jnl`	Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2019	A*	`conf`	Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. ICML Rui Zhao, Xudong Sun, Volker Tresp
2019	J	`jnl`	Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. CoRR Rui Zhao, Xudong Sun, Volker Tresp
2019	J	`jnl`	Neural Network Memorization Dissection. CoRR Jindong Gu, Volker Tresp
2019	—	`conf`	Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. DART/MIL3ID@MICCAI Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp
2019	J	`jnl`	Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. CoRR Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp
2019	J	`jnl`	Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders. CoRR Ilja Manakov, Volker Tresp
2019	C	`conf`	Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. INDIN Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann
2019	J	`jnl`	Saliency Methods for Explaining Adversarial Attacks. CoRR Jindong Gu, Volker Tresp
2019	J	`jnl`	Semantics for Global and Local Interpretation of Deep Neural Networks. CoRR Jindong Gu, Volker Tresp
2019	J	`jnl`	Variational Quantum Circuit Model for Knowledge Graphs Embedding. CoRR Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang
2019	J	`jnl`	Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck. CoRR Ilja Manakov, Markus Rohm, Volker Tresp
2018	J	`jnl`	Adaptive Knowledge Propagation in Web Ontologies. ACM Trans. Web Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
2018	—	`conf`	Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
2018	—	`conf`	Efficient Dialog Policy Learning via Positive Memory Retention. SLT Rui Zhao, Volker Tresp
2018	J	`jnl`	Efficient Dialog Policy Learning via Positive Memory Retention. CoRR Rui Zhao, Volker Tresp
2018	J	`jnl`	Embedding Models for Episodic Memory. CoRR Yunpu Ma, Volker Tresp, Erik A. Daxberger
2018	Misc	`conf`	Energy-Based Hindsight Experience Prioritization. CoRL Rui Zhao, Volker Tresp
2018	J	`jnl`	Energy-Based Hindsight Experience Prioritization. CoRR Rui Zhao, Volker Tresp
2018	—	`conf`	Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching
2018	A	`conf`	Holistic Representations for Memorization and Inference. UAI Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier
2018	—	`conf`	Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. LaCATODA@IJCAI Rui Zhao, Volker Tresp
2018	J	`jnl`	Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. CoRR Rui Zhao, Volker Tresp
2018	A*	`conf`	Improving Information Extraction from Images with Learned Semantic Models. IJCAI Stephan Baier, Yunpu Ma, Volker Tresp
2018	J	`jnl`	Improving Information Extraction from Images with Learned Semantic Models. CoRR Stephan Baier, Yunpu Ma, Volker Tresp
2018	J	`jnl`	Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. CoRR Stephan Baier, Yunpu Ma, Volker Tresp
2018	—	`conf`	Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient. SLT Rui Zhao, Volker Tresp
2018	—	`ch.`	Relational Models. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Volker Tresp, Maximilian Nickel
2018	J	`jnl`	Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Manifestos Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp
2018	—	`conf`	Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) Jindong Gu, Yinchong Yang, Volker Tresp
2018	J	`jnl`	Understanding Individual Decisions of CNNs via Contrastive Backpropagation. CoRR Jindong Gu, Yinchong Yang, Volker Tresp
2017	B	`conf`	Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. ESANN Stephan Baier, Sigurd Spieckermann, Volker Tresp
2017	J	`jnl`	Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. CoRR Stephan Baier, Sigurd Spieckermann, Volker Tresp
2017	—	`conf`	Embedding Learning for Declarative Memories. ESWC (1) Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang
2017	—	`conf`	Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. ISWC (1) Stephan Baier, Yunpu Ma, Volker Tresp
2017	C	`conf`	Learning with Knowledge Graphs. NeSy Volker Tresp, Yunpu Ma, Stephan Baier
2017	—	`conf`	Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. MLHC Yinchong Yang, Peter A. Fasching, Volker Tresp
2017	—	`conf`	Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. ICHI Yinchong Yang, Peter A. Fasching, Volker Tresp
2017	J	`jnl`	Tensor Decompositions for Modeling Inverse Dynamics. CoRR Stephan Baier, Volker Tresp
2017	A*	`conf`	Tensor-Train Recurrent Neural Networks for Video Classification. ICML Yinchong Yang, Denis Krompass, Volker Tresp
2017	J	`jnl`	Tensor-Train Recurrent Neural Networks for Video Classification. CoRR Yinchong Yang, Denis Krompass, Volker Tresp
2017	J	`jnl`	The Tensor Memory Hypothesis. CoRR Volker Tresp, Yunpu Ma
2016	J	`jnl`	A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
2016	J	`jnl`	Big Data: Practical Applications [Scanning the Issue]. Proc. IEEE Simon Haykin, Volker Tresp, Jón Atli Benediktsson
2016	J	`jnl`	Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. J. Data Semant. Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
2016	B	`conf`	Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. ESWC Yinchong Yang, Cristóbal Esteban, Volker Tresp
2016	J	`jnl`	Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare. CoRR Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu
2016	J	`jnl`	Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proc. IEEE Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu
2016	—	`conf`	Learning representations for discrete sensor networks using tensor decompositions. MFI Stephan Baier, Denis Krompass, Volker Tresp
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III ECML/PKDD (3) Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp
2016	—	`conf`	Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. ICHI Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp
2016	J	`jnl`	Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. CoRR Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp
2016	C	`conf`	Predicting the co-evolution of event and Knowledge Graphs. FUSION Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass
2016	J	`jnl`	Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. CoRR Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp
2016	J	`jnl`	Relational Models. CoRR Volker Tresp, Maximilian Nickel
2016	J	`jnl`	Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Reports Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp
2016	J	`jnl`	The Clinical Data Intelligence Project - A smart data initiative. Inform. Spektrum Daniel Sonntag, Volker Tresp, Sonja Zillner, Alexander Cavallaro, Matthias Hammon, André Reis, Peter A. Fasching, Martin Sedlmayr, Thomas Ganslandt, Hans-Ulrich Prokosch, Klemens Budde, Danilo Schmidt, Carl Hinrichs, Thomas Wittenberg, Philipp Daumke, Patricia G. Oppelt
2015	J	`jnl`	A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction. CoRR Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
2015	J	`jnl`	Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission. Künstliche Intell. Denis Krompaß, Cristóbal Esteban, Volker Tresp, Martin Sedlmayr, Thomas Ganslandt
2015	J	`jnl`	Learning with Memory Embeddings. CoRR Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß
2015	—	`conf`	Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model. ICHI Cristóbal Esteban, Danilo Schmidt, Denis Krompass, Volker Tresp
2015	J	`jnl`	Predicting the Co-Evolution of Event and Knowledge Graphs. CoRR Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß
2015	A*	`conf`	Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. ICDM Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp
2015	—	`conf`	Type-Constrained Representation Learning in Knowledge Graphs. ISWC (1) Denis Krompaß, Stephan Baier, Volker Tresp
2015	J	`jnl`	Type-Constrained Representation Learning in Knowledge Graphs. CoRR Denis Krompaß, Stephan Baier, Volker Tresp
2014	J	`jnl`	A scalable approach for statistical learning in semantic graphs. Semantic Web Yi Huang, Volker Tresp, Maximilian Nickel, Achim Rettinger, Hans-Peter Kriegel
2014	—	`ch.`	Core Technologies for the Internet of Services. Towards the Internet of Services Tilman Becker, Catherina Burghart, Kawa Nazemi, Patrick Ndjiki-Nya, Thomas Riegel, Ralf Schäfer, Thomas Sporer, Volker Tresp, Jens Wissmann
2014	B	`conf`	Large-scale factorization of type-constrained multi-relational data. DSAA Denis Krompass, Maximilian Nickel, Volker Tresp
2014	—	`conf`	Learning to Propagate Knowledge in Web Ontologies. URSW Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
2014	—	`conf`	Probabilistic Latent-Factor Database Models. LD4KD Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp
2014	—	`conf`	Querying Factorized Probabilistic Triple Databases. ISWC (2) Denis Krompaß, Maximilian Nickel, Volker Tresp
2014	—	`ch.`	Querying the Web with Statistical Machine Learning. Towards the Internet of Services Volker Tresp, Yi Huang, Maximilian Nickel
2014	J	`jnl`	Reality mining on micropost streams - Deductive and inductive reasoning for personalized and location-based recommendations. Semantic Web Marco Balduini, Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp
2014	—	`conf`	Reducing the Rank in Relational Factorization Models by Including Observable Patterns. NIPS Maximilian Nickel, Xueyan Jiang, Volker Tresp
2014	—	`ch.`	Relational Models. Encyclopedia of Social Network Analysis and Mining Volker Tresp, Maximilian Nickel
2013	—	`conf`	An Analysis of Tensor Models for Learning on Structured Data. ECML/PKDD (2) Maximilian Nickel, Volker Tresp
2013	—	`conf`	Location-Based Mobile Recommendations by Hybrid Reasoning on Social Media Streams. JIST Tony Kyung-il Lee, Seon-Ho Kim, Marco Balduini, Daniele Dell'Aglio, Irene Celino, Yi Huang, Volker Tresp, Emanuele Della Valle
2013	J	`jnl`	Logistic Tensor Factorization for Multi-Relational Data. CoRR Maximilian Nickel, Volker Tresp
2013	J	`jnl`	Mixture Approximations to Bayesian Networks CoRR Volker Tresp, Michael Haft, Reimar Hofmann
2013	—	`conf`	Tensor Factorization for Multi-relational Learning. ECML/PKDD (3) Maximilian Nickel, Volker Tresp
2013	J	`jnl`	Towards a New Science of a Clinical Data Intelligence. CoRR Volker Tresp, Denis Krompass
2012	J	`jnl`	BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams. J. Web Semant. Marco Balduini, Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp
2012	J	`jnl`	Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes CoRR Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang
2012	B	`conf`	Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction. ESWC Xueyan Jiang, Yi Huang, Maximilian Nickel, Volker Tresp
2012	J	`jnl`	Context-aware tensor decomposition for relation prediction in social networks. Soc. Netw. Anal. Min. Achim Rettinger, Hendrik Wermser, Yi Huang, Volker Tresp
2012	—	`conf`	Deep answers for naturally asked questions on the web of data. WWW (Companion Volume) Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum
2012	A*	`conf`	Factorizing YAGO: scalable machine learning for linked data. WWW Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
2012	J	`jnl`	Infinite Hidden Relational Models. CoRR Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2012	—	`conf`	Link Prediction in Multi-relational Graphs using Additive Models. SeRSy Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel
2012	J	`jnl`	Mining the Semantic Web - Statistical learning for next generation knowledge bases. Data Min. Knowl. Discov. Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
2012	—	`conf`	Natural Language Questions for the Web of Data. EMNLP-CoNLL Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum
2012	—	`conf`	Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information. ECML/PKDD (1) Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel, Hans-Peter Kriegel
2011	—	`conf`	A Novel Metric for Information Retrieval in Semantic Networks. ESWC Workshops Joshua L. Moore, Florian Steinke, Volker Tresp
2011	A*	`conf`	A Three-Way Model for Collective Learning on Multi-Relational Data. ICML Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
2011	—	`conf`	Graphical Models for Relations - Modeling Relational Context. KDIR Volker Tresp, Yi Huang, Xueyan Jiang, Achim Rettinger
2011	—	`conf`	Making Sense of Location-based Micro-posts Using Stream Reasoning. #MSM Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Stanley Park, Volker Tresp
2011	B	`conf`	Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition. ASONAM Hendrik Wermser, Achim Rettinger, Volker Tresp
2011	J	`jnl`	Semantic Traffic-Aware Routing Using the LarKC Platform. IEEE Internet Comput. Emanuele Della Valle, Irene Celino, Daniele Dell'Aglio, Ralph Grothmann, Florian Steinke, Volker Tresp
2011	J	`jnl`	Statistical relational learning of trust. Mach. Learn. Achim Rettinger, Matthias Nickles, Volker Tresp
2011	—	`conf`	Towards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-posts. ESWC Workshops Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp
2010	J	`jnl`	Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics. IEEE Intell. Syst. Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Yi Huang, Volker Tresp, Achim Rettinger, Hendrik Wermser
2010	A	`conf`	Digging for knowledge with information extraction: a case study on human gene-disease associations. CIKM Markus Bundschus, Anna Bauer-Mehren, Volker Tresp, Laura Inés Furlong, Hans-Peter Kriegel
2010	B	`conf`	Multivariate Prediction for Learning on the Semantic Web. ILP Yi Huang, Volker Tresp, Markus Bundschus, Achim Rettinger, Hans-Peter Kriegel
2009	A*	`conf`	Hierarchical Bayesian Models for Collaborative Tagging Systems. ICDM Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel
2009	—	`conf`	Materializing and Querying Learned Knowledge. MLG/SRL@ILP Volker Tresp, Yi Huang, Markus Bundschus, Achim Rettinger
2009	A*	`conf`	Multi-Relational Learning with Gaussian Processes. IJCAI Zhao Xu, Kristian Kersting, Volker Tresp
2009	—	`conf`	Statistical Relational Learning with Formal Ontologies. ECML/PKDD (2) Achim Rettinger, Matthias Nickles, Volker Tresp
2009	A*	`conf`	Tutorial summary: Learning with dependencies between several response variables. ICML Volker Tresp, Kai Yu
2008	—	`conf`	A statistical relational model for trust learning. AAMAS (2) Achim Rettinger, Matthias Nickles, Volker Tresp
2008	J	`jnl`	Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinform. Markus Bundschus, Mathäus Dejori, Martin Stetter, Volker Tresp, Hans-Peter Kriegel
2008	—	`conf`	Social Network Mining with Nonparametric Relational Models. SNAKDD Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting
2008	—	`conf`	Towards LarKC: A Platform for Web-Scale Reasoning. ICSC Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael Witbrock, Ning Zhong
2008	—	`conf`	Towards Machine Learning on the Semantic Web. URSW (LNCS Vol.) Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang
2007	—	`conf`	Fast Inference in Infinite Hidden Relational Models. MLG Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel
2007	—	`conf`	Learning Initial Trust Among Interacting Agents. CIA Achim Rettinger, Matthias Nickles, Volker Tresp
2007	A*	`conf`	Robust multi-task learning with ICML Shipeng Yu, Volker Tresp, Kai Yu
2007	—	`conf`	Structure Learning with Nonparametric Decomposable Models. ICANN (1) Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
2007	J	`jnl`	Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge. J. VLSI Signal Process. Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp
2006	A*	`conf`	Active learning via transductive experimental design. ICML Kai Yu, Jinbo Bi, Volker Tresp
2006	A*	`conf`	Collaborative ordinal regression. ICML Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2006	A	`conf`	Infinite Hidden Relational Models. UAI Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2006	J	`jnl`	Multi-Output Regularized Feature Projection. IEEE Trans. Knowl. Data Eng. Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2006	—	`conf`	Stochastic Relational Models for Discriminative Link Prediction. NIPS Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
2006	A*	`conf`	Supervised probabilistic principal component analysis. KDD Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu
2006	—	`conf`	Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. ECML Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2005	—	`conf`	A Probabilistic Clustering-Projection Model for Discrete Data. PKDD Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2005	A	`conf`	Dirichlet Enhanced Latent Semantic Analysis. AISTATS Kai Yu, Shipeng Yu, Volker Tresp
2005	A*	`conf`	Dirichlet enhanced relational learning. ICML Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel
2005	A*	`conf`	Hierarchy-Regularized Latent Semantic Indexing. ICDM Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel
2005	A*	`conf`	Learning Gaussian processes from multiple tasks. ICML Kai Yu, Volker Tresp, Anton Schwaighofer
2005	—	`conf`	Multi-Output Regularized Projection. CVPR (2) Kai Yu, Shipeng Yu, Volker Tresp
2005	A*	`conf`	Multi-label informed latent semantic indexing. SIGIR Kai Yu, Shipeng Yu, Volker Tresp
2005	—	`conf`	Soft Clustering on Graphs. NIPS Shipeng Yu, Kai Yu, Volker Tresp
2004	A*	`conf`	A nonparametric hierarchical bayesian framework for information filtering. SIGIR Kai Yu, Volker Tresp, Shipeng Yu
2004	—	`conf`	Dirichlet Enhanced Latent Semantic Analysis. LWA Kai Yu, Shipeng Yu, Volker Tresp
2004	J	`jnl`	Generative binary codes. Pattern Anal. Appl. Michael Haft, Reimar Hofmann, Volker Tresp
2004	—	`conf`	Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. ARCS Kai Yu, Volker Tresp
2004	—	`conf`	Learning Gaussian Process Kernels via Hierarchical Bayes. NIPS Anton Schwaighofer, Volker Tresp, Kai Yu
2004	J	`jnl`	Probabilistic Memory-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel
2003	A	`conf`	A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
2003	—	`conf`	An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning. European Summer School on Multi-AgentControl Volker Tresp, Kai Yu
2003	J	`jnl`	Classification of rheumatoid joint inflammation based on laser imaging. IEEE Trans. Biomed. Eng. Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Jürgen Beuthan, Helmut Rost, Georg Metzger, Gerhard A. Müller, Alexander K. Scheel
2003	A	`conf`	Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. UAI Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang
2003	—	`conf`	GPPS: A Gaussian Process Positioning System for Cellular Networks. NIPS Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann
2003	A*	`conf`	Knowing a tree from the forest: art image retrieval using a society of profiles. ACM Multimedia Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel
2003	A	`conf`	Representative Sampling for Text Classification Using Support Vector Machines. ECIR Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang
2002	A	`conf`	Removing redundancy and inconsistency in memory-based collaborative filtering. CIKM Kai Yu, Xiaowei Xu, Anton Schwaighofer, Volker Tresp, Hans-Peter Kriegel
2002	—	`conf`	The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging. NIPS Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller
2002	—	`conf`	Transductive and Inductive Methods for Approximate Gaussian Process Regression. NIPS Anton Schwaighofer, Volker Tresp
2001	—	`ed.`	Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA NIPS Todd K. Leen, Thomas G. Dietterich, Volker Tresp
2001	B	`conf`	Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System. AIME Joachim Horn, Thomas Birkhölzer, Oliver Hogl, Marco Pellegrino, Ruxandra Scheiterer, Kai-Uwe Schmidt, Volker Tresp
2001	C	`conf`	Scalable Kernel Systems. ICANN Volker Tresp, Anton Schwaighofer
2001	J	`jnl`	Scaling Kernel-Based Systems to Large Data Sets. Data Min. Knowl. Discov. Volker Tresp
2001	C	`conf`	The Bayesian Committee Support Vector Machine. ICANN Anton Schwaighofer, Volker Tresp
2000	J	`jnl`	A Bayesian Committee Machine. Neural Comput. Volker Tresp
2000	—	`conf`	A hidden Markov model for metric and event-based data. EUSIPCO Jaakko Hollmén, Volker Tresp
2000	—	`conf`	A learning vector quantization algorithm for probabilistic models. EUSIPCO Jaakko Hollmén, Volker Tresp, Olli Simula
2000	—	`conf`	Mixtures of Gaussian Processes. NIPS Volker Tresp
2000	A*	`conf`	The generalized Bayesian committee machine. KDD Volker Tresp
1999	A	`conf`	Mean field inference in a general probabilistic setting. AISTATS Michael Haft, Reimar Hofmann, Volker Tresp
1999	A	`conf`	Mixture Approximations to Bayesian Networks. UAI Volker Tresp, Michael Haft, Reimar Hofmann
1999	J	`jnl`	Neural-network models for the blood glucose metabolism of a diabetic. IEEE Trans. Neural Networks Volker Tresp, Thomas Briegel, John Moody
1999	—	`conf`	Robust Neural Network Regression for Offline and Online Learning. NIPS Thomas Briegel, Volker Tresp
1998	J	`jnl`	Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. IEEE Trans. Neural Networks Dirk Ormoneit, Volker Tresp
1998	—	`conf`	Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. NIPS Jaakko Hollmén, Volker Tresp
1998	—	`conf`	Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models. NIPS Thomas Briegel, Volker Tresp
1998	Misc	`conf`	Fraud detection in communication networks using neural and probabilistic methods. ICASSP Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp
1998	J	`jnl`	Nonlinear Time-Series Prediction with Missing and Noisy Data. Neural Comput. Volker Tresp, Reimar Hofmann
1997	—	`conf`	A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction. NIPS Volker Tresp, Thomas Briegel
1997	J	`jnl`	Averaging Regularized Estimators. Neural Comput. Michiaki Taniguchi, Volker Tresp
1997	C	`conf`	Combining Regularized Neural Networks. ICANN Michiaki Taniguchi, Volker Tresp
1997	—	`conf`	Nonlinear Markov Networks for Continuous Variables. NIPS Reimar Hofmann, Volker Tresp
1997	J	`jnl`	Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Mach. Learn. Volker Tresp, Jürgen Hollatz, Subutai Ahmad
1996	—	`conf`	Early Brain Damage. NIPS Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann
1995	J	`jnl`	Die besonderen Eigenschaften Neuronaler Netze bei der Approximation von Funktionen. Künstliche Intell. Volker Tresp
1995	—	`conf`	Discovering Structure in Continuous Variables Using Bayesian Networks. NIPS Reimar Hofmann, Volker Tresp
1995	—	`conf`	Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. NIPS Dirk Ormoneit, Volker Tresp
1994	—	`conf`	Combining Estimators Using Non-Constant Weighting Functions. NIPS Volker Tresp, Michiaki Taniguchi
1994	—	`conf`	Efficient Methods for Dealing with Missing Data in Supervised Learning. NIPS Volker Tresp, Ralph Neuneier, Subutai Ahmad
1994	J	`jnl`	Videographic tomography. II. Reconstruction with fan-beam projection data. IEEE Trans. Medical Imaging Volker Tresp, Rodney Snell, Arthur F. Gmitro
1993	—	`conf`	Classification with missing and uncertain inputs. ICNN Subutai Ahmad, Volker Tresp
1993	—	`conf`	Training Neural Networks with Deficient Data. NIPS Volker Tresp, Subutai Ahmad, Ralph Neuneier
1992	—	`conf`	Integrating Rule-Based Knowledge into Neural Computing. DAGM-Symposium Jürgen Hollatz, Volker Tresp
1992	—	`conf`	Network Structuring and Training Using Rule-Based Knowledge. NIPS Volker Tresp, Jürgen Hollatz, Subutai Ahmad
1992	—	`conf`	Neuronale Netze zur Segmentierung und Clusterung von biomagnetischen Signalen. DAGM-Symposium Martin F. Schlang, Volker Tresp, Klaus Abraham-Fuchs, Wolfgang Härer, P. Weismüller
1992	—	`conf`	Some Solutions to the Missing Feature Problem in Vision. NIPS Subutai Ahmad, Volker Tresp
1991	—	`conf`	A Neural Architecture for 2D and 3D Vision. DAGM-Symposium Volker Tresp
1991	J	`jnl`	Incorporating prior knowledge in parsimonious networks of locally tuned units Forschungsberichte, TU Munich Reimar Hofmann, Martin Röscheisen, Volker Tresp
1991	—	`conf`	Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency. NIPS Martin Röscheisen, Reimar Hofmann, Volker Tresp
1990	—	`conf`	A Neural Network Approach for Three-Dimensional Object Recognition. NIPS Volker Tresp