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Tess Smidt

11 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸ‘‘ Triple Crown
🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze

Venues

ICLR (4) ICML (3) NeurIPS (3) JMLR (1)

Top co-authors

Mario Geiger (3) Yi-Lun Liao (2) Ameya Daigavane (2) Rui Wang (2) Kyle Bystrom (1) Tommi Jaakkola (1) Ilyes Batatia (1) Joshua David Robinson (1) Zhixiong Hu (1) Rafael Gomez-Bombarelli (1)

Research topics

Deep Learning (10) Architectures (10) Machine Learning (7) Core Methods (5) Artificial Intelligence (3) Interdisciplinary (2) Application Areas (2) Core AI (2) Science (2) Computer Science (1) Computer Vision (1) Reinforcement Learning (1) Analysis (1) Applications (1) Learning Paradigms (1)

Keywords

graph neural network (5) equivariant neural network (3) molecular property prediction (3) geometric deep learning (2) equivariant transformer (2) graph partitioning (1) irreducible representations (1) graph representation learning (1) autoregressive model (1) point cloud processing (1) quantum chemistry (1) latent space (1) molecular dynamics (1) molecule generation (1) generative model (1) equivariant representation (1) expressivity (1) group equivariance (1) spherical harmonics (1) sparse matrix (1)

Papers

The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products ICML 2025 A Recipe for Charge Density Prediction NeurIPS 2024 Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution ICML 2024 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 A General Framework for Equivariant Neural Networks on Reductive Lie Groups NeurIPS 2023 Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs ICLR 2023 Sign and Basis Invariant Networks for Spectral Graph Representation Learning ICLR 2023 Generative Coarse-Graining of Molecular Conformations ICML 2022 Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks JMLR 2022 SE(3)-equivariant prediction of molecular wavefunctions and electronic densities NeurIPS 2021