 Improving Equivariant Networks with Probabilistic Symmetry BreakingInternational Conference on Learning Representations (ICLR), 2025 |
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 Discovering Symmetry Breaking in Physical Systems with Relaxed Group
ConvolutionInternational Conference on Machine Learning (ICML), 2023 |
 Geometric Clifford Algebra NetworksInternational Conference on Machine Learning (ICML), 2023 |
 Equivariant Networks for Crystal StructuresNeural Information Processing Systems (NeurIPS), 2022 |
 Equivariance with Learned Canonicalization FunctionsInternational Conference on Machine Learning (ICML), 2022 |
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 Towards out of distribution generalization for problems in mechanicsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 |
 Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
GraphsInternational Conference on Learning Representations (ICLR), 2022 |
 Applications and Techniques for Fast Machine Learning in ScienceFrontiers in Big Data (Front. Big Data), 2021 |
 Geometric Deep Learning on Molecular RepresentationsNature Machine Intelligence (Nat. Mach. Intell.), 2021 |
 Equivariant Filters for Efficient Tracking in 3D ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 |
