Mathias Niepert

46 papers · 2011–2025 · 9 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 Academic Marathon (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (14) 🌟 Keyword Trendsetter Combo (4) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (12) 🧬 Topic Evolution 🔥 Unstoppable (5) 💎 Century Club (46) 🗃️ Keyword Collector (145) ⚡ Prolific Year (9) 📈 Trend Setter

Conferences

ICML (12) NIPS (10) ICLR (8) EMNLP (5) AAAI (3) ACL (3) IJCNLP (3) ACML (1) IJCAI (1)

Top co-authors

Carolin Lawrence (8) Makoto Takamoto (6) Guy Van den Broeck (6) Bhushan Kotnis (6) Viktor Zaverkin (5) Daniel Sonntag (5) Francesco Alesiani (4) Christopher Morris (4) Anji Liu (4) Federico Errica (3)

Keywords

graph neural network (5) neural network (4) knowledge graph (4) open information extraction (3) relation extraction (3) bidirectional attention (3) message passing (3) graph convolutional network (2) benchmark dataset (2) knowledge graph completion (2) sequence generation (2) partial differential equation (2) scientific machine learning (2) relational learning (2) representation learning (2) feature learning (2) implicit differentiation (2) knowledge base (2) graph representation (2) link prediction (2)

Papers

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation ICML 2025 Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks ICML 2025 Tractable Transformers for Flexible Conditional Generation ICML 2025 Physics-Informed Weakly Supervised Learning For Interatomic Potentials ICML 2025 Active Learning for Neural PDE Solvers ICLR 2025 Discrete Copula Diffusion ICLR 2025 Learning to Discretize Denoising Diffusion ODEs ICLR 2025 Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching ICML 2025 Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks ICLR 2024 Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model ACML 2024 Image Inpainting via Tractable Steering of Diffusion Models ICLR 2024 Probabilistically Rewired Message-Passing Neural Networks ICLR 2024 Probabilistic Graph Rewiring via Virtual Nodes NIPS 2024 Accelerating Transformers with Spectrum-Preserving Token Merging NIPS 2024 Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing NIPS 2024 Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks ICML 2024 Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations ICML 2024 SIMPLE: A Gradient Estimator for k-Subset Sampling ICLR 2023 LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NIPS 2023 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023 Joint Multilingual Knowledge Graph Completion and Alignment EMNLP 2022 AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark ACL 2022 MILIE: Modular & Iterative Multilingual Open Information Extraction ACL 2022 BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation ACL 2022 PDEBench: An Extensive Benchmark for Scientific Machine Learning NIPS 2022 Ordered Subgraph Aggregation Networks NIPS 2022 Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs ICLR 2021 Efficient Learning of Discrete-Continuous Computation Graphs NIPS 2021 Explaining Neural Matrix Factorization with Gradient Rollback AAAI 2021 Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders AAAI 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021 Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas EMNLP 2019 Attending to Future Tokens for Bidirectional Sequence Generation EMNLP 2019 Learning Discrete Structures for Graph Neural Networks ICML 2019 State-Regularized Recurrent Neural Networks ICML 2019 Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas IJCNLP 2019 A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning IJCAI 2019 Attending to Future Tokens for Bidirectional Sequence Generation IJCNLP 2019 LRMM: Learning to Recommend with Missing Modalities EMNLP 2018 Learning Sequence Encoders for Temporal Knowledge Graph Completion EMNLP 2018 Learning Graph Representations with Embedding Propagation NIPS 2017 Discriminative Gaifman Models NIPS 2016 Learning Convolutional Neural Networks for Graphs ICML 2016 Exchangeable Variable Models ICML 2014 Fine-Grained Sentiment Analysis with Structural Features IJCNLP 2011