Kaba, Sékou-Oumar
- Gradient Starvation: A Learning Proclivity in Neural Networks
2020/11/18 by Mohammad Pezeshki, Pezeshki, Mohammad, Sékou-Oumar Kaba +9 · 22 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning
- Equivariance with Learned Canonicalization Functions
2022/11/11 by Sékou-Oumar Kaba, Kaba, Sékou-Oumar, Arnab Kumar Mondal +7 · 19 citations
Materials Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Morphological variations and asymmetry
- SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
2025/02/05 by Daniel Lévy, Levy, Daniel, Siba Smarak Panigrahi +13 · 19 citations
Materials Science · #Crystallization and Solubility Studies #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
- Equivariant Adaptation of Large Pretrained Models
2023/10/02 by Arnab Kumar Mondal, Siba Smarak Panigrahi, Mondal, Arnab Kumar +7 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Neural Networks and Applications
- Symmetry Breaking and Equivariant Neural Networks
2023/12/14 by Sékou-Oumar Kaba, Kaba, Sékou-Oumar, Siamak Ravanbakhsh +1 · 4 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications
- Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
2023/09/06 by Daniel Lévy, Sékou-Oumar Kaba, Levy, Daniel +7 · 3 citations
Computer Science · Materials Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
- Equivariant Networks for Crystal Structures
2022/11/15 by Sékou-Oumar Kaba, Kaba, Sékou-Oumar, Siamak Ravanbakhsh +1 · 2 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Accurate and scalable exchange-correlation with deep learning
2025/06/17 by Luise, Giulia, Huang, Chin-Wei, Vogels, Thijs +22 · 7 citations
#Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
- Improving Equivariant Networks with Probabilistic Symmetry Breaking
2025/03/27 by Lawrence, Hannah, Portilheiro, Vasco, Zhang, Yan +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Symmetry-Aware Generative Modeling through Learned Canonicalization
2025/01/14 by Sareen, Kusha, Levy, Daniel, Mondal, Arnab Kumar +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- On the Identifiability of Causal Abstractions
2025/03/13 by Li, Xiusi, Kaba, Sékou-Oumar, Ravanbakhsh, Siamak · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)