Tess Smidt
11 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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(13)
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Unstoppable
(5)
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Century Club
(11)
Conferences
ICLR (4)
ICML (3)
NIPS (3)
JMLR (1)
Top co-authors
Keywords
geometric deep learning
(2)
equivariant neural network
(2)
point cloud
(1)
irreducible representations
(1)
graph partitioning
(1)
sparse matrix
(1)
generative model
(1)
quantum chemistry
(1)
latent space
(1)
molecular dynamics
(1)
group equivariance
(1)
point cloud processing
(1)
molecular property prediction
(1)
density functional theory
(1)
equivariant convolution
(1)
equivariant network
(1)
graph neural network
(1)
nested dissection
(1)
advantage actor critic
(1)
reductive lie group
(1)
Papers
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products
ICML 2025
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
ICLR 2024
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
ICLR 2024
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
ICML 2024
A Recipe for Charge Density Prediction
NIPS 2024
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
NIPS 2023
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
ICLR 2023
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
ICLR 2023
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks
JMLR 2022
Generative Coarse-Graining of Molecular Conformations
ICML 2022
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
NIPS 2021