Mathias Niepert

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 105

Top Venues

CoRR

ICLR

NeurIPS

AAAI

Publications

Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing. CoRR (2024)
Duy M. H. Nguyen, An T. Le, Trung Q. Nguyen, Nghiem T. Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR (2024)
Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, Mathias Niepert
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations. CoRR (2024)
Giuseppe Serra, Mathias Niepert
L2XGNN: learning to explain graph neural networks. Mach. Learn. 113 (9) (2024)
Anji Liu, Mathias Niepert, Guy Van den Broeck
Image Inpainting via Tractable Steering of Diffusion Models. ICLR (2024)
Vinh Tong, Anji Liu, Trung-Dung Hoang, Guy Van den Broeck, Mathias Niepert
Learning to Discretize Denoising Diffusion ODEs. CoRR (2024)
Anji Liu, Mathias Niepert, Guy Van den Broeck
Image Inpainting via Tractable Steering of Diffusion Models. CoRR (2024)
Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR (2024)
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
Accelerating Transformers with Spectrum-Preserving Token Merging. CoRR (2024)
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
Probabilistically Rewired Message-Passing Neural Networks. ICLR (2024)
Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
Probabilistic Graph Rewiring via Virtual Nodes. CoRR (2024)
Federico Errica, Mathias Niepert
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks. ICLR (2024)
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching. CoRR (2023)
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
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS (2023)
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
Probabilistically Rewired Message-Passing Neural Networks. CoRR (2023)
Cheng Wang, Carolin Lawrence, Mathias Niepert
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Pasquale Minervini, Luca Franceschi, Mathias Niepert
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. AAAI (2023)
David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
Learning Disentangled Discrete Representations. CoRR (2023)
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan N. Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR (2023)
Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
Learning Sparsity of Representations with Discrete Latent Variables. CoRR (2023)
David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
Learning Disentangled Discrete Representations. ECML/PKDD (4) (2023)
Makoto Takamoto, Francesco Alesiani, Mathias Niepert
Learning Neural PDE Solvers with Parameter-Guided Channel Attention. CoRR (2023)
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
Approximate Answering of Graph Queries. CoRR (2023)
Makoto Takamoto, Francesco Alesiani, Mathias Niepert
Learning Neural PDE Solvers with Parameter-Guided Channel Attention. ICML (2023)
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
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR (2023)
Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
SIMPLE: A Gradient Estimator for k-Subset Sampling. ICLR (2023)
Francesco Alesiani, Shujian Yu, Mathias Niepert
Continual Invariant Risk Minimization. CoRR (2023)
David Friede, Mathias Niepert
Efficient Learning of Discrete-Continuous Computation Graphs. CoRR (2023)
Federico Errica, Mathias Niepert
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks. CoRR (2023)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. CoRR (2022)
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. ACL (demo) (2022)
Giuseppe Serra, Mathias Niepert
Learning to Explain Graph Neural Networks. CoRR (2022)
Cheng Wang, Carolin Lawrence, Mathias Niepert
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. CoRR (2022)
Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert
Ordered Subgraph Aggregation Networks. CoRR (2022)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS (2022)
Vinh Tong, Dat Quoc Nguyen, Thanh Trung Huynh, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, Mathias Niepert
Joint Multilingual Knowledge Graph Completion and Alignment. CoRR (2022)
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. ACL (1) (2022)
Vinh Tong, Dat Quoc Nguyen, Trung Thanh Huynh, Tam Thanh Nguyen, Quoc Viet Hung Nguyen, Mathias Niepert
Joint Multilingual Knowledge Graph Completion and Alignment. EMNLP (Findings) (2022)
Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR (2022)
Pasquale Minervini, Luca Franceschi, Mathias Niepert
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. CoRR (2022)
Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris
Ordered Subgraph Aggregation Networks. NeurIPS (2022)
Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) (2022)
Carolin Lawrence, Timo Sztyler, Mathias Niepert
Explaining Neural Matrix Factorization with Gradient Rollback. AAAI (2021)
Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. AKBC (2021)
David Friede, Mathias Niepert
Efficient Learning of Discrete-Continuous Computation Graphs. NeurIPS (2021)
Jun Cheng, Carolin Lawrence, Mathias Niepert
VEGN: Variant Effect Prediction with Graph Neural Networks. CoRR (2021)
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. CoRR (2021)
Alexander Jung, Hugo Lefeuvre, Charalampos Rotsos, Pierre Olivier, Daniel Oñoro-Rubio, Felipe Huici, Mathias Niepert
Wayfinder: towards automatically deriving optimal OS configurations. APSys (2021)
Mathias Niepert, Pasquale Minervini, Luca Franceschi
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. CoRR (2021)
Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR (2021)
Roberto Gonzalez, Claudio Soriente, Juan Miguel Carrascosa, Alberto García-Durán, Costas Iordanou, Mathias Niepert
User profiling by network observers. CoNEXT (2021)
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. CoRR (2021)
Cheng Wang, Carolin Lawrence, Mathias Niepert
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. ICLR (2021)
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. AAAI (2021)
Mathias Niepert, Pasquale Minervini, Luca Franceschi
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. NeurIPS (2021)
Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao
Interpreting Node Embedding with Text-labeled Graphs. IJCNN (2021)
Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
Learning Sparsity of Representations with Discrete Latent Variables. IJCNN (2021)
Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt
Backpropagating through Markov Logic Networks. NeSy (2021)
Cheng Wang, Mathias Niepert, Hui Li
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Carolin Lawrence, Timo Sztyler, Mathias Niepert
Explaining Neural Matrix Factorization with Gradient Rollback. CoRR (2020)
Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
TransRev: Modeling Reviews as Translations from Users to Items. ECIR (1) (2020)
Cheng Wang, Carolin Lawrence, Mathias Niepert
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. CoRR (2020)
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. CoRR (2020)
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
Attending to Future Tokens For Bidirectional Sequence Generation. CoRR (2019)
Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. IJCAI (2019)
Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He
Learning Discrete Structures for Graph Neural Networks. ICML (2019)
Cheng Wang, Mathias Niepert, Hui Li
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. CoRR (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-Modal Knowledge Graphs. CoRR (2019)
Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He
Learning Discrete Structures for Graph Neural Networks. CoRR (2019)
A. Sargeant, Tatiana von Landesberger, C. Baier, F. Bange, A. Dalpke, T. Eckmanns, Stephan Glöckner, M. Kaase, Gérard Krause, Michael Marschollek, Brandon M. Malone, Mathias Niepert, S. Rey, Antje Wulff, Simone Scheithauer
Early Detection of Infection Chains & Outbreaks: Use Case Infection Control. EFMI-STC (2019)
Cheng Wang, Mathias Niepert
State-Regularized Recurrent Neural Networks. CoRR (2019)
Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez-Sanchez, Roberto Javier López-Sastre
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs. AKBC (2019)
Cheng Wang, Mathias Niepert
State-Regularized Recurrent Neural Networks. ICML (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-modal Knowledge Graphs. ESWC (2019)
Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. EMNLP/IJCNLP (1) (2019)
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
Attending to Future Tokens for Bidirectional Sequence Generation. EMNLP/IJCNLP (1) (2019)
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
Knowledge Graph Completion to Predict Polypharmacy Side Effects. CoRR (2018)
Mathias Niepert, Alberto García-Durán
Towards a Spectrum of Graph Convolutional Networks. CoRR (2018)
Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
Learning Sequence Encoders for Temporal Knowledge Graph Completion. CoRR (2018)
Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert
On embeddings as an alternative paradigm for relational learning. CoRR (2018)
Cheng Wang, Mathias Niepert, Hui Li
LRMM: Learning to Recommend with Missing Modalities. EMNLP (2018)
Daniel Oñoro-Rubio, Roberto Javier López-Sastre, Mathias Niepert
Learning Short-Cut Connections for Object Counting. BMVC (2018)
Florian Schmidt, Mathias Niepert, Felipe Huici
Representation Learning for Resource Usage Prediction. CoRR (2018)
Mathias Niepert, Alberto García-Durán
Towards a Spectrum of Graph Convolutional Networks. DSW (2018)
Cheng Wang, Mathias Niepert, Hui Li
LRMM: Learning to Recommend with Missing Modalities. CoRR (2018)
Daniel Oñoro-Rubio, Mathias Niepert, Roberto Javier López-Sastre
Learning Short-Cut Connections for Object Counting. CoRR (2018)
Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert
Learning Sequence Encoders for Temporal Knowledge Graph Completion. EMNLP (2018)
Alberto García-Durán, Mathias Niepert
KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. UAI (2018)
Daniel Oñoro-Rubio, Mathias Niepert
Contextual Hourglass Networks for Segmentation and Density Estimation. CoRR (2018)
Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism. CoRR (2018)
Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
TransRev: Modeling Reviews as Translations from Users to Items. CoRR (2018)
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
Knowledge Graph Completion to Predict Polypharmacy Side Effects. DILS (2018)
Brandon M. Malone, Alberto García-Durán, Mathias Niepert
Learning Representations of Missing Data for Predicting Patient Outcomes. CoRR (2018)
Roberto Gonzalez, Filipe Manco, Alberto García-Durán, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert
Net2Vec: Deep Learning for the Network. Big-DAMA@SIGCOMM (2017)
Alberto García-Durán, Mathias Niepert
Learning Graph Representations with Embedding Propagation. NIPS (2017)
Roberto Gonzalez, Alberto García-Durán, Filipe Manco, Mathias Niepert, Pelayo Vallina
Network Data Monetization Using Net2Vec. SIGCOMM Posters and Demos (2017)
Roberto Gonzalez, Filipe Manco, Alberto García-Durán, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert
Net2Vec: Deep Learning for the Network. CoRR (2017)
Alberto García-Durán, Mathias Niepert
KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. CoRR (2017)
Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez, Roberto Javier López-Sastre
Representation Learning for Visual-Relational Knowledge Graphs. CoRR (2017)
Jakob Huber, Mathias Niepert, Jan Noessner, Joerg Schoenfisch, Christian Meilicke, Heiner Stuckenschmidt
An infrastructure for probabilistic reasoning with web ontologies. Semantic Web 8 (2) (2017)

Mathias Niepert.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mathias Niepert