Sékou-Oumar Kaba

According to our database, Sékou-Oumar Kaba authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Symmetry Breaking and Equivariant Neural Networks.

Sékou-Oumar Kaba, Siamak Ravanbakhsh

CoRR, 2023

Equivariant Adaptation of Large Pretrained Models.

Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh

CoRR, 2023

Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks.

Daniel T. Levy, Sékou-Oumar Kaba, Carmelo Gonzales, Santiago Miret, Siamak Ravanbakhsh

CoRR, 2023

Equivariant Adaptation of Large Pretrained Models.

Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Mudumba, Siamak Ravanbakhsh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Equivariance with Learned Canonicalization Functions.

Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh

Proceedings of the International Conference on Machine Learning, 2023

2022

Equivariant Networks for Crystal Structures.

Sékou-Oumar Kaba, Siamak Ravanbakhsh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests.

Sékou-Oumar Kaba, Benjamin Groleau-Paré, Marc-Antoine Gauthier, André-Marie Tremblay, Simon Verret, Chloé Gauvin-Ndiaye

CoRR, 2021

Gradient Starvation: A Learning Proclivity in Neural Networks.

Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron C. Courville, Doina Precup, Guillaume Lajoie

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021