Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks. - Daniel Levy 001; Sékou-Oumar Kaba; Carmelo Gonzales; Santiago Miret; Siamak Ravanbakhsh (CoRR, 2023)

E(3)-Equivariant Mesh Neural Networks. - Thuan Anh Trang; Nhat Khang Ngo; Daniel Levy 001; Ngoc Thieu Vo; Siamak Ravanbakhsh; Truong Son Hy (AISTATS, 2024)

E(3)-Equivariant Mesh Neural Networks. - Thuan N. A. Trang; Nhat Khang Ngo; Daniel Levy 001; Thieu N. Vo; Siamak Ravanbakhsh; Truong Son Hy (CoRR, 2024)

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. - Daniel Levy 001; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Qiang Zhu; Kin Long Kelvin Lee; Mikhail Galkin 001; Santiago Miret; Siamak Ravanbakhsh (ICLR, 2025)

Symmetry-Aware Generative Modeling through Learned Canonicalization. - Kusha Sareen; Daniel Levy 001; Arnab Kumar Mondal; Sékou-Oumar Kaba; Tara Akhound-Sadegh; Siamak Ravanbakhsh (CoRR, 2025)

Energy Loss Functions for Physical Systems. - Sékou-Oumar Kaba; Kusha Sareen; Daniel Levy 001; Siamak Ravanbakhsh (CoRR, 2025)