← Authors

Mathias Niepert

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

Achievements

🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (60) 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (14) 🌟 Keyword Trendsetter Combo (4) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (46) πŸ—ƒοΈ Keyword Collector (145) ⚑ Prolific Year (9) πŸ“ˆ 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