Mathias Niepert
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
20
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. | 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 | ICLR | Discrete Copula Diffusion. | Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck |
| 2025 | ICLR | Active Learning for Neural PDE Solvers. | Daniel Musekamp, Marimuthu Kalimuthu, David Holzmller, Makoto Takamoto, Mathias Niepert |
| 2025 | ICLR | Learning to Discretize Denoising Diffusion ODEs. | Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert |
| 2025 | ICML | Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. | Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Mller, Jan Tnshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris |
| 2025 | ICML | On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation. | Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho |
| 2025 | ICML | Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching. | Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani |
| 2025 | ICML | Tractable Transformers for Flexible Conditional Generation. | Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck |
| 2025 | ICML | Physics-Informed Weakly Supervised Learning For Interatomic Potentials. | Makoto Takamoto, Viktor Zaverkin, Mathias Niepert |
| 2024 | ACML | Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. | 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 | ICLR | Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks. | Federico Errica, Mathias Niepert |
| 2024 | ICLR | Image Inpainting via Tractable Steering of Diffusion Models. | Anji Liu, Mathias Niepert, Guy Van den Broeck |
| 2024 | ICLR | Probabilistically Rewired Message-Passing Neural Networks. | Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris |
| 2024 | ICML | Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations. | Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert |
| 2024 | ICML | Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. | Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert |
| 2023 | AAAI | Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. | Pasquale Minervini, Luca Franceschi, Mathias Niepert |
| 2023 | ICLR | SIMPLE: A Gradient Estimator for k-Subset Sampling. | Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck |
| 2023 | ICML | Learning Neural PDE Solvers with Parameter-Guided Channel Attention. | Makoto Takamoto, Francesco Alesiani, Mathias Niepert |
| 2022 | ACL | AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. | Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas |
| 2022 | ACL | BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. | Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas |
| 2022 | ACL | MILIE: Modular & Iterative Multilingual Open Information Extraction. | Bhushan Kotnis, Kiril Gashteovski, Daniel Ooro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence |
| 2022 | EMNLP | Joint Multilingual Knowledge Graph Completion and Alignment. | Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh, Tam Thanh Nguyen, Quoc Viet Hung Nguyen, Mathias Niepert |
| 2021 | AAAI | Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. | Bhushan Kotnis, Carolin Lawrence, Mathias Niepert |
| 2021 | AAAI | Explaining Neural Matrix Factorization with Gradient Rollback. | Carolin Lawrence, Timo Sztyler, Mathias Niepert |
| 2021 | CoNEXT | User profiling by network observers. | Roberto Gonzalez, Claudio Soriente, Juan Miguel Carrascosa, Alberto Garca-Durn, Costas Iordanou, Mathias Niepert |
| 2021 | ICLR | Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. | Cheng Wang, Carolin Lawrence, Mathias Niepert |
| 2021 | IJCNN | Interpreting Node Embedding with Text-labeled Graphs. | Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tio, Xin Yao |
| 2021 | IJCNN | Learning Sparsity of Representations with Discrete Latent Variables. | Zhao Xu, Daniel Ooro-Rubio, Giuseppe Serra, Mathias Niepert |
| 2021 | NeSy | Backpropagating through Markov Logic Networks. | Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt |
| 2020 | ECIR | TransRev: Modeling Reviews as Translations from Users to Items. | Alberto Garca-Durn, Roberto Gonzalez, Daniel Ooro-Rubio, Mathias Niepert, Hui Li |
| 2019 | EMNLP | Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. | Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert |
| 2019 | EMNLP | Attending to Future Tokens for Bidirectional Sequence Generation. | Carolin Lawrence, Bhushan Kotnis, Mathias Niepert |
| 2019 | ICML | Learning Discrete Structures for Graph Neural Networks. | Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He |
| 2019 | ICML | State-Regularized Recurrent Neural Networks. | Cheng Wang, Mathias Niepert |
| 2019 | IJCAI | A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. | Sebastijan Dumancic, Alberto Garca-Durn, Mathias Niepert |
| 2018 | BMVC | Learning Short-Cut Connections for Object Counting. | Daniel Ooro-Rubio, Roberto Javier Lpez-Sastre, Mathias Niepert |
| 2018 | EMNLP | Learning Sequence Encoders for Temporal Knowledge Graph Completion. | Alberto Garca-Durn, Sebastijan Dumancic, Mathias Niepert |
| 2018 | EMNLP | LRMM: Learning to Recommend with Missing Modalities. | Cheng Wang, Mathias Niepert, Hui Li |
| 2018 | UAI | KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. | Alberto Garca-Durn, Mathias Niepert |
| 2017 | SIGCOMM | Network Data Monetization Using Net2Vec. | Roberto Gonzalez, Alberto Garca-Durn, Filipe Manco, Mathias Niepert, Pelayo Vallina |
| 2017 | SIGCOMM | Net2Vec: Deep Learning for the Network. | Roberto Gonzalez, Filipe Manco, Alberto Garca-Durn, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert |
| 2016 | ICML | Learning Convolutional Neural Networks for Graphs. | Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov |
| 2015 | AAAI | Lifted Probabilistic Inference for Asymmetric Graphical Models. | Guy Van den Broeck, Mathias Niepert |
| 2015 | UAI | Learning and Inference in Tractable Probabilistic Knowledge Bases. | Mathias Niepert, Pedro M. Domingos |
| 2014 | AAAI | Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. | Mathias Niepert, Guy Van den Broeck |
| 2014 | AAAI | Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. | Mathias Niepert, Pedro M. Domingos |
| 2014 | ICML | Exchangeable Variable Models. | Mathias Niepert, Pedro M. Domingos |
| 2013 | AAAI | Symmetry-Aware Marginal Density Estimation. | Mathias Niepert |
| 2013 | AAAI | RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. | Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt |
| 2013 | AAAI | RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. | Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt |
| 2012 | BPM | Probabilistic Optimization of Semantic Process Model Matching. | Henrik Leopold, Mathias Niepert, Matthias Weidlich, Jan Mendling, Remco M. Dijkman, Heiner Stuckenschmidt |
| 2012 | NAACL | Towards Distributed MCMC Inference in Probabilistic Knowledge Bases. | Mathias Niepert, Christian Meilicke, Heiner Stuckenschmidt |
| 2012 | UAI | Markov Chains on Orbits of Permutation Groups. | Mathias Niepert |
| 2011 | IJCAI | Log-Linear Description Logics. | Mathias Niepert, Jan Noessner, Heiner Stuckenschmidt |
| 2011 | IJCNLP | Fine-Grained Sentiment Analysis with Structural Features. | Ccilia Zirn, Mathias Niepert, Heiner Stuckenschmidt, Michael Strube |
| 2011 | PERCOM | Recognizing interleaved and concurrent activities: A statistical-relational approach. | Rim Helaoui, Mathias Niepert, Heiner Stuckenschmidt |
| 2010 | AAAI | A Probabilistic-Logical Framework for Ontology Matching. | Mathias Niepert, Christian Meilicke, Heiner Stuckenschmidt |
| 2010 | UAI | A Delayed Column Generation Strategy for Exact k-Bounded MAP Inference in Markov Logic Networks. | Mathias Niepert |
| 2009 | UAI | Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence. | Mathias Niepert |
| 2008 | FlAIRS | Answer Set Programming on Expert Feedback to Populate and Extend Dynamic Ontologies. | Mathias Niepert, Cameron Buckner, Colin Allen |
| 2008 | UAI | On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach. | Mathias Niepert, Dirk Van Gucht, Marc Gyssens |