Samira Ebrahimi-Kahou
Professeure
Department
Département de génie logiciel et TI
Courses and supervision
Supervision
- En codirection avec : Sheldon Andrews
Efficient Reinforcement Learning using Improved Prior Modeling, par Pranav Agarwal
Automne 2025
- Evaluation of Sample Efficiency in Offline Reinforcement Learning, par Shivakanth Sujit
Automne 2023 - En codirection avec : Sylvain Bouix
Contrôle de qualité automatisé de l'imagerie par résonance magnétique (IRM) du cerveau humain par l'apprentissage profond, par Charles Bricout
Été 2025
- En codirection avec : Jose Dolz
Passage à l’échelle de modèles d’apprentissage incrémental basés sur la mémoire humaine, par Julie Galliere
Été 2021
Publications
Publications
- Charles Bricout, Samira Ebrahimi Kahou, Sylvain Bouix. 2026 « Estimation of head motion in structural MRI and its impact on cortical morphometry ». Frontiers in Neuroscience vol. 20
- Patrik Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji. 2026 « Towards fair in-context learning with tabular foundation models ». Transactions on Machine Learning Research vol. 2026
- Abdalwhab Bakheet Mohamed Abdalwhab, Giovanni Beltrame, Samira Ebrahimi Kahou, David St-Onge. 2025 « Attention-Based Multi-Agent RL for Multi-Machine Tending Using Mobile Robots ». AI vol. 6 , nº 10
- Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari. 2025 « Prediction of final phosphorus content of steel in a scrap-based electric arc furnace using artificial neural networks ». Metals vol. 15 , nº 1
- Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou. 2025 « Adaptive group robust ensemble knowledge distillation ». Transactions on Machine Learning Research
- Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Kenfack, Samira Ebrahimi Kahou. 2025 « Survey on AI ethics: A socio-technical perspective ». Computational Intelligence vol. 41 , nº 6
- Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji. 2024 « Fairness under demographic scarce regime ». Transactions on Machine Learning Research
- Patrik Joslin Kenfack, Samira Ebrahimi-Kahou, Ulrich Aïvodji. 2024 « A survey on fairness without demographics ». Transactions on Machine Learning Research
- Mayur Mudigonda, Prabhat Ram, Karthik Kashinath, Evan Racah, Ankur Mahesh, Yunjie Liu, Christopher Beckham, Jim Biard, Thorsten Kurth, Sookyung Kim, Samira Kahou, Tegan Maharaj, Burlen Loring, Christopher Pal, Travis O'Brien, Kenneth E. Kunkel, Michael F. Wehner, William D. Collins. 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. p. 163-185. Wiley
- Elmira Moosavi-Khoonsari, Riadh Azzaz, Valentin Hurel, Mohammad Jahazi, Samira Ebrahimi Kahou. 2025 « Controlling minor element phosphorus in green electric steelmaking using neural networks ». REWAS 2025 : Circular Economy for the Energy Transition (Las Vegas , NV, USA, Mar. 23-27, 2025) Springer
- Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou. 2024 « Learning to play Atari in a world of tokens ». International Conference on Machine Learning (Vienna, Austria, July 21-27, 2024) ML Research Press
- Ivaxi Sheth, Samira Ebrahimi Kahou. 2023 « Auxiliary losses for learning generalizable concept-based models ». Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (New Orleans, LA, USA, Dec. 10-16, 2023) Neural information processing systems foundation
- Shivakanth Sujit, Somjit Nath, Pedro Braga, Samira Ebrahimi Kahou. 2023 « Prioritizing samples in reinforcement learning with reducible loss ». Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (New Orleans, LA, USA, Dec. 10-16, 2023) Neural information processing systems foundation
- Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira E. Kahou, Felix Heide, Christopher Pal. 2022 « Latent variable sequential set transformers for joint multi-agent motion prediction ». ICLR 2022 - 10th International Conference on Learning Representations (Virtual, Apr. 25-29, 2022) International Conference on Learning Representations, ICLR
- Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vicent Michalski, Danijar Hafner, Samira Ebrahimi-Kahou. 2022 « Learning robust dynamics through variational sparse gating ». Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022) Neural information processing systems foundation