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06/21/2023
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Equivariant Transformers such as Equiformer have demonstrated the effica...
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05/31/2023
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
Reductive Lie Groups, such as the orthogonal groups, the Lorentz group, ...
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11/24/2022
Learning Integrable Dynamics with Action-Angle Networks
Machine learning has become increasingly popular for efficiently modelli...
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07/18/2022
e3nn: Euclidean Neural Networks
We present e3nn, a generalized framework for creating E(3) equivariant t...
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06/23/2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
3D-related inductive biases like translational invariance and rotational...
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10/16/2021
Deep Learning and Spectral Embedding for Graph Partitioning
We present a graph bisection and partitioning algorithm based on graph n...
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06/04/2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Machine learning has enabled the prediction of quantum chemical properti...
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04/08/2021
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning
We present a novel method for graph partitioning, based on reinforcement...
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02/22/2018