Liste des publications de "Ebrahimi-Kahou, Samira"

Agarwal, Pranav, Andrews, Sheldon et Kahou, Samira Ebrahimi. 2024. « Learning to play Atari in a world of tokens ». In International Conference on Machine Learning (Vienna, Austria, July 21-27, 2024) Coll. « Proceedings of Machine Learning Research », vol. 235. pp. 313-328. ML Research Press.
Compte des citations dans Scopus : 1.

Azzaz, Riadh, Jahazi, Mohammad, Ebrahimi Kahou, Samira et Moosavi-Khoonsari, Elmira. 2025. « Prediction of final phosphorus content of steel in a scrap-based electric arc furnace using artificial neural networks ». Metals, vol. 15, nº 1.
Compte des citations dans Scopus : 1.

Jain, Arnav Kumar, Sujit, Shivakanth, Joshi, Shruti, Michalski, Vicent, Hafner, Danijar et Ebrahimi-Kahou, Samira. 2022. « Learning robust dynamics through variational sparse gating ». In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022) Neural information processing systems foundation.
Compte des citations dans Scopus : 7.

Moosavi-Khoonsari, Elmira, Azzaz, Riadh, Hurel, Valentin, Jahazi, Mohammad et Ebrahimi Kahou, Samira. 2025. « Controlling minor element phosphorus in green electric steelmaking using neural networks ». In REWAS 2025 : Circular Economy for the Energy Transition (Las Vegas , NV, USA, Mar. 23-27, 2025) Coll. « Minerals, Metals & Materials Series » pp. 297-305. Springer.

Mudigonda, Mayur, Ram, Prabhat, Kashinath, Karthik, Racah, Evan, Mahesh, Ankur, Liu, Yunjie, Beckham, Christopher, Biard, Jim, Kurth, Thorsten, Kim, Sookyung, Kahou, Samira, Maharaj, Tegan, Loring, Burlen, Pal, Christopher, O'Brien, Travis, Kunkel, Kenneth E., Wehner, Michael F. et Collins, William D.. 2021. « Deep learning for detecting extreme weather patterns ». In Deep learning for the earth sciences: A comprehensive approach to remote sensing, climate science and geosciences. pp. 163-185. Wiley.
Compte des citations dans Scopus : 3.

Sheth, Ivaxi et Kahou, Samira Ebrahimi. 2023. « Auxiliary losses for learning generalizable concept-based models ». In Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (New Orleans, LA, USA, Dec. 10-16, 2023) Neural information processing systems foundation.
Compte des citations dans Scopus : 5.

Sujit, Shivakanth, Nath, Somjit, Braga, Pedro et Kahou, Samira Ebrahimi. 2023. « Prioritizing samples in reinforcement learning with reducible loss ». In Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (New Orleans, LA, USA, Dec. 10-16, 2023) Neural information processing systems foundation.
Compte des citations dans Scopus : 7.