Kaba, Sékou-Oumar

10 publications

NeurIPS 2025 Energy Loss Functions for Physical Systems Sékou-Oumar Kaba, Kusha Sareen, Daniel Levy, Siamak Ravanbakhsh

ICLR 2025 Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Sékou-Oumar Kaba

AISTATS 2025 On the Identifiability of Causal Abstractions Xiusi Li, Sékou-Oumar Kaba, Siamak Ravanbakhsh

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

ICMLW 2024 Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence, Vasco Portilheiro, Yan Zhang, Sékou-Oumar Kaba

NeurIPSW 2024 SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh

NeurIPSW 2024 Symmetry-Aware Generative Modeling Through Learned Canonicalization Kusha Sareen, Daniel Levy, Arnab Kumar Mondal, Sékou-Oumar Kaba, Tara Akhound-Sadegh, Siamak Ravanbakhsh

ICML 2023 Equivariance with Learned Canonicalization Functions Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh

NeurIPSW 2023 Symmetry Breaking and Equivariant Neural Networks Sékou-Oumar Kaba, Siamak Ravanbakhsh

NeurIPSW 2022 Equivariance with Learned Canonicalization Functions Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh