Mathias Niepert

17

Papers

290

Total Citations

Papers (17)

Learning Graph Representations with Embedding Propagation

NeurIPS 2017arXiv

Discriminative Gaifman Models

NeurIPS 2016arXiv

Image Inpainting via Tractable Steering of Diffusion Models

Probabilistically Rewired Message-Passing Neural Networks

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching

How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations

Tractable Transformers for Flexible Conditional Generation

Efficient Learning of Discrete-Continuous Computation Graphs

NeurIPS 2021arXiv

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Ordered Subgraph Aggregation Networks

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

Learning Convolutional Neural Networks for Graphs

Learning Discrete Structures for Graph Neural Networks

State-Regularized Recurrent Neural Networks