Gradient starvation: A learning proclivity in neural networks M Pezeshki, SO Kaba, Y Bengio, AC Courville, D Precup, G Lajoie Advances in Neural Information Processing Systems 34, 1256-1272, 2021 | 254 | 2021 |
Group-theoretical classification of superconducting states of strontium ruthenate SO Kaba, D Sénéchal Physical Review B 100 (21), 214507, 2019 | 48 | 2019 |
Equivariance with learned canonicalization functions SO Kaba, AK Mondal, Y Zhang, Y Bengio, S Ravanbakhsh International Conference on Machine Learning, 15546-15566, 2023 | 41 | 2023 |
Equivariant networks for crystal structures SO Kaba, S Ravanbakhsh Advances in Neural Information Processing Systems 35, 4150-4164, 2022 | 17 | 2022 |
Prediction of large magnetic moment materials with graph neural networks and random forests SO Kaba, B Groleau-Paré, MA Gauthier, AMS Tremblay, S Verret, ... Physical Review Materials 7 (4), 044407, 2023 | 10 | 2023 |
Equivariant adaptation of large pretrained models AK Mondal, SS Panigrahi, SO Kaba, SR Mudumba, S Ravanbakhsh Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
Using multiple vector channels improves E(n)-equivariant graph neural networks D Levy, SO Kaba, C Gonzales, S Miret, S Ravanbakhsh ICML Workshop on Machine Learning for Astrophysics, 2023 | 3 | 2023 |
Symmetry breaking and equivariant neural networks SO Kaba, S Ravanbakhsh NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023 | 2 | 2023 |
Chronic pain mediated changes in the appetitive value of affective touch in mice M Zain, LA Bennett, H Zhang, Q Pauli, J Arsenault, S Premachandran, ... BioRxiv, 2023.11. 09.566431, 2023 | 1 | 2023 |
Symétrie du paramètre d’ordre supraconducteur dans le ruthénate de strontium SO Kaba Université de Sherbrooke, 2018 | 1 | 2018 |