Mathias Niepert

211 papers A* 40A 9B 4C 2Misc 1Journal 110Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Transition-State Refinement with Learned Equilibrium Flows. J. Chem. Inf. Model. Samir Darouich, Vinh Tong, Tanja Bien, Johannes Kästner, Mathias Niepert
2026	J	`jnl`	GraIP: A Benchmarking Framework For Neural Graph Inverse Problems. CoRR Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf
2026	J	`jnl`	Logical Guidance for the Exact Composition of Diffusion Models. CoRR Francesco Alesiani, Jonathan Warrell, Tanja Bien, Henrik Christiansen, Matheus Ferraz, Mathias Niepert
2026	J	`jnl`	Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization. Trans. Mach. Learn. Res. Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert
2026	J	`jnl`	SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model. CoRR Jan Hagnberger, Mathias Niepert
2026	J	`jnl`	StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2025	A*	`conf`	Active Learning for Neural PDE Solvers. ICLR Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert
2025	—	`conf`	Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. ICCVW Hongzhuo Chen, Rahul Shukla, Ruiming Wu, Shu Yang, Duy Duong-Tran, Duy Minh Ho Nguyen, Mathias Niepert, Cameron Beeche, James C. Gee, Jeffrey T. Duda, Rakesh Sharma, Christos Davatzikos, Walter R. Witschey, Bojian Hou, Li Shen
2025	A*	`conf`	Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching. ICML Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani
2025	J	`jnl`	Adaptive Physics-informed Neural Networks: A Survey. CoRR Edgar Torres, Jonathan Schiefer, Mathias Niepert
2025	J	`jnl`	Adaptive Physics-informed Neural Networks: A Survey. Trans. Mach. Learn. Res. Edgar Torres, Mathias Niepert
2025	J	`jnl`	Adaptive Width Neural Networks. CoRR Federico Errica, Henrik Christiansen, Viktor Zaverkin, Mathias Niepert, Francesco Alesiani
2025	J	`jnl`	CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs. CoRR Jan Hagnberger, Daniel Musekamp, Mathias Niepert
2025	A*	`conf`	Discrete Copula Diffusion. ICLR Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
2025	J	`jnl`	GraphBench: Next-generation graph learning benchmarking. CoRR Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris
2025	J	`jnl`	How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? CoRR Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D. Doan, Roger Wattenhofer, Ngo Anh Vien, Mathias Niepert, Daniel Sonntag, Paul Swoboda
2025	J	`jnl`	LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators. CoRR Marimuthu Kalimuthu, David Holzmüller, Mathias Niepert
2025	J	`jnl`	LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators. Trans. Mach. Learn. Res. Marimuthu Kalimuthu, David Holzmüller, Mathias Niepert
2025	J	`jnl`	Learning (Approximately) Equivariant Networks via Constrained Optimization. CoRR Andrei Manolache, Luiz F. O. Chamon, Mathias Niepert
2025	J	`jnl`	Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining. CoRR Boshra Ariguib, Mathias Niepert, Andrei Manolache
2025	A*	`conf`	Learning to Discretize Denoising Diffusion ODEs. ICLR Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
2025	A*	`conf`	On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. ICML Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho
2025	J	`jnl`	On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. CoRR Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy M. H. Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho
2025	J	`jnl`	Performance of universal machine-learned potentials with explicit long-range interactions in biomolecular simulations. CoRR Viktor Zaverkin, Matheus Ferraz, Francesco Alesiani, Mathias Niepert
2025	A*	`conf`	Physics-Informed Weakly Supervised Learning For Interatomic Potentials. ICML Makoto Takamoto, Viktor Zaverkin, Mathias Niepert
2025	—	`conf`	Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. ICML (Position Papers) Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris
2025	J	`jnl`	Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. CoRR Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris
2025	J	`jnl`	Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization. CoRR Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert
2025	J	`jnl`	Prompt Engineering Techniques for Language Model Reasoning Lack Replicability. Trans. Mach. Learn. Res. Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff
2025	J	`jnl`	S-Chain: Structured Visual Chain-of-Thought For Medicine. CoRR Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen
2025	J	`jnl`	Symmetry-Preserving Diffusion Models via Target Symmetrization. CoRR Vinh Tong, Yun Ye, Trung-Dung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
2025	A*	`conf`	Tractable Transformers for Flexible Conditional Generation. ICML Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck
2025	J	`jnl`	Tractable Transformers for Flexible Conditional Generation. CoRR Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck
2024	J	`jnl`	A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions. CoRR Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff
2024	A*	`conf`	Accelerating Transformers with Spectrum-Preserving Token Merging. NeurIPS Chau Tran, Duy M. H. Nguyen, Manh-Duy Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh Nguyen, Mathias Niepert
2024	J	`jnl`	Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Y. Zou, Binh T. Nguyen, Mathias Niepert
2024	J	`jnl`	Active Learning for Neural PDE Solvers. CoRR Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert
2024	J	`jnl`	Discrete Copula Diffusion. CoRR Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
2024	C	`conf`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. ACML Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	J	`jnl`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR Duy M. H. Nguyen, An T. Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	A*	`conf`	Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. NeurIPS Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
2024	J	`jnl`	Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. CoRR Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
2024	A*	`conf`	Image Inpainting via Tractable Steering of Diffusion Models. ICLR Anji Liu, Mathias Niepert, Guy Van den Broeck
2024	J	`jnl`	Image Inpainting via Tractable Steering of Diffusion Models. CoRR Anji Liu, Mathias Niepert, Guy Van den Broeck
2024	J	`jnl`	L2XGNN: learning to explain graph neural networks. Mach. Learn. Giuseppe Serra, Mathias Niepert
2024	J	`jnl`	Learning to Discretize Denoising Diffusion ODEs. CoRR Vinh Tong, Anji Liu, Trung-Dung Hoang, Guy Van den Broeck, Mathias Niepert
2024	J	`jnl`	LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. CoRR Duy M. H. Nguyen, Nghiem Tuong Diep, Trung Q. Nguyen, Hoang-Bao Le, Tai Nguyen, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert
2024	J	`jnl`	MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning. CoRR Andrei Manolache, Dragos Tantaru, Mathias Niepert
2024	J	`jnl`	Physics-Informed Weakly Supervised Learning for Interatomic Potentials. CoRR Makoto Takamoto, Viktor Zaverkin, Mathias Niepert
2024	A*	`conf`	Probabilistic Graph Rewiring via Virtual Nodes. NeurIPS Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
2024	J	`jnl`	Probabilistic Graph Rewiring via Virtual Nodes. CoRR Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
2024	A*	`conf`	Probabilistically Rewired Message-Passing Neural Networks. ICLR Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2024	A*	`conf`	Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ICML Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2024	J	`jnl`	Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2024	A*	`conf`	Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks. ICLR Federico Errica, Mathias Niepert
2024	A*	`conf`	Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations. ICML Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert
2024	J	`jnl`	Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations. CoRR Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert
2023	J	`jnl`	Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching. CoRR Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani
2023	A*	`conf`	Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. AAAI Pasquale Minervini, Luca Franceschi, Mathias Niepert
2023	J	`jnl`	Approximate Answering of Graph Queries. CoRR Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023	—	`ch.`	Approximate Answering of Graph Queries. Compendium of Neurosymbolic Artificial Intelligence Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023	J	`jnl`	Continual Invariant Risk Minimization. CoRR Francesco Alesiani, Shujian Yu, Mathias Niepert
2023	J	`jnl`	Efficient Learning of Discrete-Continuous Computation Graphs. CoRR David Friede, Mathias Niepert
2023	A*	`conf`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
2023	J	`jnl`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
2023	—	`conf`	Learning Disentangled Discrete Representations. ECML/PKDD (4) David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
2023	J	`jnl`	Learning Disentangled Discrete Representations. CoRR David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
2023	A*	`conf`	Learning Neural PDE Solvers with Parameter-Guided Channel Attention. ICML Makoto Takamoto, Francesco Alesiani, Mathias Niepert
2023	J	`jnl`	Learning Neural PDE Solvers with Parameter-Guided Channel Attention. CoRR Makoto Takamoto, Francesco Alesiani, Mathias Niepert
2023	J	`jnl`	Learning Sparsity of Representations with Discrete Latent Variables. CoRR Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
2023	J	`jnl`	On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert
2023	J	`jnl`	Probabilistically Rewired Message-Passing Neural Networks. CoRR Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2023	A*	`conf`	SIMPLE: A Gradient Estimator for k-Subset Sampling. ICLR Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2023	J	`jnl`	State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. IEEE Trans. Pattern Anal. Mach. Intell. Cheng Wang, Carolin Lawrence, Mathias Niepert
2023	J	`jnl`	Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks. CoRR Federico Errica, Mathias Niepert
2022	J	`jnl`	Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. CoRR Pasquale Minervini, Luca Franceschi, Mathias Niepert
2022	—	`conf`	AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. ACL (demo) Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022	—	`conf`	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. ACL (1) Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022	—	`conf`	Joint Multilingual Knowledge Graph Completion and Alignment. EMNLP (Findings) Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh, Tam Thanh Nguyen, Quoc Viet Hung Nguyen, Mathias Niepert
2022	J	`jnl`	Joint Multilingual Knowledge Graph Completion and Alignment. CoRR Vinh Tong, Dat Quoc Nguyen, Thanh Trung Huynh, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, Mathias Niepert
2022	J	`jnl`	Learning to Explain Graph Neural Networks. CoRR Giuseppe Serra, Mathias Niepert
2022	—	`conf`	MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2022	A*	`conf`	Ordered Subgraph Aggregation Networks. NeurIPS Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris
2022	J	`jnl`	Ordered Subgraph Aggregation Networks. CoRR Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert
2022	J	`jnl`	PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. CoRR Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
2022	A*	`conf`	PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
2022	J	`jnl`	SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2022	J	`jnl`	State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. CoRR Cheng Wang, Carolin Lawrence, Mathias Niepert
2021	J	`jnl`	AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. CoRR Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2021	A*	`conf`	Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. AAAI Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
2021	C	`conf`	Backpropagating through Markov Logic Networks. NeSy Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt
2021	—	`conf`	Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. AKBC Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki
2021	J	`jnl`	BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. CoRR Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert
2021	A*	`conf`	Efficient Learning of Discrete-Continuous Computation Graphs. NeurIPS David Friede, Mathias Niepert
2021	A*	`conf`	Explaining Neural Matrix Factorization with Gradient Rollback. AAAI Carolin Lawrence, Timo Sztyler, Mathias Niepert
2021	A*	`conf`	Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. NeurIPS Mathias Niepert, Pasquale Minervini, Luca Franceschi
2021	J	`jnl`	Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. CoRR Mathias Niepert, Pasquale Minervini, Luca Franceschi
2021	J	`jnl`	Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
2021	B	`conf`	Interpreting Node Embedding with Text-labeled Graphs. IJCNN Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao
2021	B	`conf`	Learning Sparsity of Representations with Discrete Latent Variables. IJCNN Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
2021	A*	`conf`	Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. ICLR Cheng Wang, Carolin Lawrence, Mathias Niepert
2021	A	`conf`	User profiling by network observers. CoNEXT Roberto Gonzalez, Claudio Soriente, Juan Miguel Carrascosa, Alberto García-Durán, Costas Iordanou, Mathias Niepert
2021	J	`jnl`	VEGN: Variant Effect Prediction with Graph Neural Networks. CoRR Jun Cheng, Carolin Lawrence, Mathias Niepert
2021	—	`conf`	Wayfinder: towards automatically deriving optimal OS configurations. APSys Alexander Jung, Hugo Lefeuvre, Charalampos Rotsos, Pierre Olivier, Daniel Oñoro-Rubio, Felipe Huici, Mathias Niepert
2020	J	`jnl`	Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. CoRR Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
2020	J	`jnl`	Explaining Neural Matrix Factorization with Gradient Rollback. CoRR Carolin Lawrence, Timo Sztyler, Mathias Niepert
2020	J	`jnl`	RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. Cheng Wang, Mathias Niepert, Hui Li
2020	—	`conf`	TransRev: Modeling Reviews as Translations from Users to Items. ECIR (1) Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
2020	J	`jnl`	Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. CoRR Cheng Wang, Carolin Lawrence, Mathias Niepert
2019	A*	`conf`	A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. IJCAI Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
2019	—	`conf`	Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs. AKBC Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez-Sanchez, Roberto Javier López-Sastre
2019	J	`jnl`	Attending to Future Tokens For Bidirectional Sequence Generation. CoRR Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
2019	—	`conf`	Attending to Future Tokens for Bidirectional Sequence Generation. EMNLP/IJCNLP (1) Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
2019	—	`conf`	Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. EMNLP/IJCNLP (1) Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert
2019	—	`conf`	Early Detection of Infection Chains & Outbreaks: Use Case Infection Control. EFMI-STC A. Sargeant, Tatiana von Landesberger, Claas Baier, F. Bange, Alexander Dalpke, Tim Eckmanns, Stephan Glöckner, Martin Kaase, Gérard Krause, Michael Marschollek, Brandon M. Malone, Mathias Niepert, S. Rey, Antje Wulff, Simone Scheithauer
2019	A*	`conf`	Learning Discrete Structures for Graph Neural Networks. ICML Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He
2019	J	`jnl`	Learning Discrete Structures for Graph Neural Networks. CoRR Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He
2019	J	`jnl`	MMKG: Multi-Modal Knowledge Graphs. CoRR Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
2019	B	`conf`	MMKG: Multi-modal Knowledge Graphs. ESWC Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
2019	J	`jnl`	RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. CoRR Cheng Wang, Mathias Niepert, Hui Li
2019	A*	`conf`	State-Regularized Recurrent Neural Networks. ICML Cheng Wang, Mathias Niepert
2019	J	`jnl`	State-Regularized Recurrent Neural Networks. CoRR Cheng Wang, Mathias Niepert
2018	J	`jnl`	BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism. CoRR Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici
2018	J	`jnl`	Contextual Hourglass Networks for Segmentation and Density Estimation. CoRR Daniel Oñoro-Rubio, Mathias Niepert
2018	A	`conf`	KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. UAI Alberto García-Durán, Mathias Niepert
2018	—	`conf`	Knowledge Graph Completion to Predict Polypharmacy Side Effects. DILS Brandon M. Malone, Alberto García-Durán, Mathias Niepert
2018	J	`jnl`	Knowledge Graph Completion to Predict Polypharmacy Side Effects. CoRR Brandon M. Malone, Alberto García-Durán, Mathias Niepert
2018	A*	`conf`	LRMM: Learning to Recommend with Missing Modalities. EMNLP Cheng Wang, Mathias Niepert, Hui Li
2018	J	`jnl`	LRMM: Learning to Recommend with Missing Modalities. CoRR Cheng Wang, Mathias Niepert, Hui Li
2018	J	`jnl`	Learning Representations of Missing Data for Predicting Patient Outcomes. CoRR Brandon M. Malone, Alberto García-Durán, Mathias Niepert
2018	A*	`conf`	Learning Sequence Encoders for Temporal Knowledge Graph Completion. EMNLP Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
2018	J	`jnl`	Learning Sequence Encoders for Temporal Knowledge Graph Completion. CoRR Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
2018	A	`conf`	Learning Short-Cut Connections for Object Counting. BMVC Daniel Oñoro-Rubio, Roberto Javier López-Sastre, Mathias Niepert
2018	J	`jnl`	Learning Short-Cut Connections for Object Counting. CoRR Daniel Oñoro-Rubio, Mathias Niepert, Roberto Javier López-Sastre
2018	J	`jnl`	On embeddings as an alternative paradigm for relational learning. CoRR Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
2018	J	`jnl`	Representation Learning for Resource Usage Prediction. CoRR Florian Schmidt, Mathias Niepert, Felipe Huici
2018	—	`conf`	Towards a Spectrum of Graph Convolutional Networks. DSW Mathias Niepert, Alberto García-Durán
2018	J	`jnl`	Towards a Spectrum of Graph Convolutional Networks. CoRR Mathias Niepert, Alberto García-Durán
2018	J	`jnl`	TransRev: Modeling Reviews as Translations from Users to Items. CoRR Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
2017	J	`jnl`	An infrastructure for probabilistic reasoning with web ontologies. Semantic Web Jakob Huber, Mathias Niepert, Jan Noessner, Joerg Schoenfisch, Christian Meilicke, Heiner Stuckenschmidt
2017	J	`jnl`	KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. CoRR Alberto García-Durán, Mathias Niepert
2017	—	`conf`	Learning Graph Representations with Embedding Propagation. NIPS Alberto García-Durán, Mathias Niepert
2017	J	`jnl`	Learning Graph Representations with Embedding Propagation. CoRR Alberto García-Durán, Mathias Niepert
2017	—	`conf`	Net2Vec: Deep Learning for the Network. Big-DAMA@SIGCOMM Roberto Gonzalez, Filipe Manco, Alberto García-Durán, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert
2017	J	`jnl`	Net2Vec: Deep Learning for the Network. CoRR Roberto Gonzalez, Filipe Manco, Alberto García-Durán, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert
2017	—	`conf`	Network Data Monetization Using Net2Vec. SIGCOMM Posters and Demos Roberto Gonzalez, Alberto García-Durán, Filipe Manco, Mathias Niepert, Pelayo Vallina
2017	J	`jnl`	Representation Learning for Visual-Relational Knowledge Graphs. CoRR Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez, Roberto Javier López-Sastre
2016	—	`conf`	Discriminative Gaifman Models. NIPS Mathias Niepert
2016	J	`jnl`	Discriminative Gaifman Models. CoRR Mathias Niepert
2016	A*	`conf`	Learning Convolutional Neural Networks for Graphs. ICML Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
2016	J	`jnl`	Learning Convolutional Neural Networks for Graphs. CoRR Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
2015	A	`conf`	Learning and Inference in Tractable Probabilistic Knowledge Bases. UAI Mathias Niepert, Pedro M. Domingos
2015	A*	`conf`	Lifted Probabilistic Inference for Asymmetric Graphical Models. AAAI Guy Van den Broeck, Mathias Niepert
2014	—	`conf`	Completeness and optimality in ontology alignment debugging. OM Jan Noessner, Heiner Stuckenschmidt, Christian Meilicke, Mathias Niepert
2014	A*	`conf`	Exchangeable Variable Models. ICML Mathias Niepert, Pedro M. Domingos
2014	J	`jnl`	Exchangeable Variable Models. CoRR Mathias Niepert, Pedro M. Domingos
2014	J	`jnl`	LODE: Linking Digital Humanities Content to the Web of Data. CoRR Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert
2014	—	`conf`	LODE: Linking digital humanities content to the web of data. JCDL Timo Sztyler, Jakob Huber, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert
2014	J	`jnl`	Lifted Probabilistic Inference for Asymmetric Graphical Models. CoRR Guy Van den Broeck, Mathias Niepert
2014	J	`jnl`	Markov Chains on Orbits of Permutation Groups. CoRR Mathias Niepert
2014	J	`jnl`	On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach. CoRR Mathias Niepert, Dirk Van Gucht, Marc Gyssens
2014	J	`jnl`	On the completeness of the semigraphoid axioms for deriving arbitrary from saturated conditional independence statements. Inf. Process. Lett. Marc Gyssens, Mathias Niepert, Dirk Van Gucht
2014	A*	`conf`	Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. AAAI Mathias Niepert, Guy Van den Broeck
2014	J	`jnl`	Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. CoRR Mathias Niepert, Guy Van den Broeck
2014	—	`conf`	Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. StarAI@AAAI Mathias Niepert, Pedro M. Domingos
2013	—	`conf`	Computing Incoherence Explanations for Learned Ontologies. RR Daniel Fleischhacker, Christian Meilicke, Johanna Völker, Mathias Niepert
2013	—	`conf`	Integrating Open and Closed Information Extraction: Challenges and First Steps. NLP-DBPEDIA@ISWC Arnab Dutta, Christian Meilicke, Mathias Niepert, Simone Paolo Ponzetto
2013	J	`jnl`	On the conditional independence implication problem: A lattice-theoretic approach. Artif. Intell. Mathias Niepert, Marc Gyssens, Bassem Sayrafi, Dirk Van Gucht
2013	—	`ed.`	Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, Montpellier, France, May 26, 2013 KNOW@LOD Johanna Völker, Heiko Paulheim, Jens Lehmann, Mathias Niepert, Harald Sack
2013	J	`jnl`	RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models CoRR Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt
2013	A*	`conf`	RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. AAAI Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt
2013	—	`conf`	RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. StarAI@AAAI Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt
2013	—	`conf`	Statistical Relational Data Integration for Information Extraction. Reasoning Web Mathias Niepert
2013	J	`jnl`	Symmetry-Aware Marginal Density Estimation CoRR Mathias Niepert
2013	A*	`conf`	Symmetry-Aware Marginal Density Estimation. AAAI Mathias Niepert
2012	J	`jnl`	A Delayed Column Generation Strategy for Exact k-Bounded MAP Inference in Markov Logic Networks CoRR Mathias Niepert
2012	—	`conf`	Lifted Probabilistic Inference: An MCMC Perspective. StarAI@UAI Mathias Niepert
2012	J	`jnl`	Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence CoRR Mathias Niepert
2012	J	`jnl`	Markov Chains on Orbits of Permutation Groups CoRR Mathias Niepert
2012	A	`conf`	Markov Chains on Orbits of Permutation Groups. UAI Mathias Niepert
2012	A	`conf`	Probabilistic Optimization of Semantic Process Model Matching. BPM Henrik Leopold, Mathias Niepert, Matthias Weidlich, Jan Mendling, Remco M. Dijkman, Heiner Stuckenschmidt
2012	—	`ed.`	Proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, Heraklion, Greece, May 27, 2012 KNOW@LOD Johanna Völker, Heiko Paulheim, Jens Lehmann, Mathias Niepert
2012	—	`conf`	Towards Distributed MCMC Inference in Probabilistic Knowledge Bases. AKBC-WEKEX@NAACL-HLT Mathias Niepert, Christian Meilicke, Heiner Stuckenschmidt
2011	—	`conf`	Coherent Top-k Ontology Alignment for OWL EL. SUM Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt
2011	—	`conf`	ELOG: A Probabilistic Reasoner for OWL EL. RR Jan Noessner, Mathias Niepert
2011	B	`conf`	Fine-Grained Sentiment Analysis with Structural Features. IJCNLP Cäcilia Zirn, Mathias Niepert, Heiner Stuckenschmidt, Michael Strube
2011	J	`jnl`	From encyclopedia to ontology: toward dynamic representation of the discipline of philosophy. Synth. Cameron Buckner, Mathias Niepert, Colin Allen
2011	A*	`conf`	Log-Linear Description Logics. IJCAI Mathias Niepert, Jan Noessner, Heiner Stuckenschmidt
2011	—	`conf`	Probabilistic-Logical Web Data Integration. Reasoning Web Mathias Niepert, Jan Noessner, Christian Meilicke, Heiner Stuckenschmidt
2011	—	`conf`	Reasoning under Uncertainty with Log-Linear Description Logics. URSW Mathias Niepert
2011	J	`jnl`	Recognizing interleaved and concurrent activities using qualitative and quantitative temporal relationships. Pervasive Mob. Comput. Rim Helaoui, Mathias Niepert, Heiner Stuckenschmidt
2011	A*	`conf`	Recognizing interleaved and concurrent activities: A statistical-relational approach. PerCom Rim Helaoui, Mathias Niepert, Heiner Stuckenschmidt
2011	—	`conf`	Statistical Schema Induction. ESWC (1) Johanna Völker, Mathias Niepert
2010	J	`jnl`	"Towards Collaboratively Learning and Populating Ontologies for the Social-Semantic Web" by Mathias Niepert, with Jessica Rubart as coordinator. SIGWEB Newsl. Mathias Niepert
2010	A	`conf`	A Delayed Column Generation Strategy for Exact k-Bounded MAP Inference in Markov Logic Networks. UAI Mathias Niepert
2010	A*	`conf`	A Probabilistic-Logical Framework for Ontology Matching. AAAI Mathias Niepert, Christian Meilicke, Heiner Stuckenschmidt
2010	—	`conf`	A Statistical-Relational Activity Recognition Framework for Ambient Assisted Living Systems. ISAmI Rim Helaoui, Mathias Niepert, Heiner Stuckenschmidt
2010	—	`conf`	BRAMBLE: A Web-based Framework for Interactive RDF-Graph Visualisation. ISWC (Posters & Demos) Nikolas Schmitt, Mathias Niepert, Heiner Stuckenschmidt
2010	—	`conf`	CODI: Combinatorial Optimization for Data Integration: results for OAEI 2010. OM Jan Noessner, Mathias Niepert
2010	—	`conf`	Crowdsourcing the assembly of concept hierarchies. JCDL Kai Eckert, Mathias Niepert, Christof Niemann, Cameron Buckner, Colin Allen, Heiner Stuckenschmidt
2010	—	`conf`	Leveraging Terminological Structure for Object Reconciliation. ESWC (2) Jan Noessner, Mathias Niepert, Christian Meilicke, Heiner Stuckenschmidt
2010	J	`jnl`	Logical and algorithmic properties of stable conditional independence. Int. J. Approx. Reason. Mathias Niepert, Dirk Van Gucht, Marc Gyssens
2010	—	`conf`	Thesaurus Extension Using Web Search Engines. ICADL Robert Meusel, Mathias Niepert, Kai Eckert, Heiner Stuckenschmidt
2009	J	`jnl`	InPhO: A System for Collaboratively Populating and Extending a Dynamic Ontology. Bull. IEEE Tech. Comm. Digit. Libr. Mathias Niepert, Cameron Buckner, Jaimie Murdock, Colin Allen
2009	A	`conf`	Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence. UAI Mathias Niepert
2008	Misc	`conf`	Answer Set Programming on Expert Feedback to Populate and Extend Dynamic Ontologies. FLAIRS Mathias Niepert, Cameron Buckner, Colin Allen
2008	—	`conf`	InPhO: a system for collaboratively populating and extending a dynamic ontology. JCDL Mathias Niepert, Cameron Buckner, Jaimie Murdock, Colin Allen
2008	J	`jnl`	On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach CoRR Mathias Niepert, Dirk Van Gucht, Marc Gyssens
2008	A	`conf`	On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach. UAI Mathias Niepert, Dirk Van Gucht, Marc Gyssens
2008	J	`jnl`	The World is Not Flat: Expertise and InPhO. First Monday Colin Allen, Cameron Buckner, Mathias Niepert
2007	—	`conf`	A dynamic ontology for a dynamic reference work. JCDL Mathias Niepert, Cameron Buckner, Colin Allen