| 2025 | ICML | The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products. | Yuqing Xie, Ameya Daigavane, Mit Kotak, Tess E. Smidt |
| 2024 | ICLR | Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation. | Ameya Daigavane, Song Kim, Mario Geiger, Tess E. Smidt |
| 2024 | ICLR | EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations. | Yi-Lun Liao, Brandon M. Wood, Abhishek Das, Tess E. Smidt |
| 2024 | ICML | Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution. | Rui Wang, Elyssa F. Hofgard, Hang Gao, Robin Walters, Tess E. Smidt |
| 2023 | ICLR | Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs. | Yi-Lun Liao, Tess E. Smidt |
| 2023 | ICLR | Sign and Basis Invariant Networks for Spectral Graph Representation Learning. | Derek Lim, Joshua David Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka |
| 2022 | ICML | Generative Coarse-Graining of Molecular Conformations. | Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gmez-Bombarelli |