Liste des publications de "Ebrahimi-Kahou, Samira"

2025

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.

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.

2024

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.

2023

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.

2022

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.

2021

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.