-
Louis Fournier
- Doctorant
- Équipe: MLIA
Publications
- Louis Fournier. Parallelizable training in deep learning through local and distributed approaches. Machine Learning [cs.LG]. Sorbonne Université, 2024. English. ⟨NNT : 2024SORUS246⟩. ⟨tel-04794035⟩
- Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, et al.. PETRA: Parallel End-to-end Training with Reversible Architectures. 2024. ⟨hal-04594647⟩
- Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, et al.. ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training. 2024. ⟨hal-04592562⟩
- Louis Fournier, Adel Nabli, Masih Aminbeidokhti, Marco Pedersoli, Eugene Belilovsky, et al.. WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average. 2024. ⟨hal-04588075⟩
- Louis Fournier, Edouard Oyallon. Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks. 2024. ⟨hal-04500345⟩
- Louis Fournier, Adeetya Patel, Michael Eickenberg, Edouard Oyallon, Eugene Belilovsky. Preventing Dimensional Collapse in Contrastive Local Learning with Subsampling. ICML 2023 Workshop on Localized Learning (LLW), Jul 2023, Honolulu (Hawaii), USA, United States. ⟨hal-04156218⟩
- Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon. Can Forward Gradient Match Backpropagation?. Fortieth International Conference on Machine Learning, Jul 2023, Honolulu (Hawaii), USA, United States. ⟨hal-04119829⟩
-
Aurore Chauvin, Jean-Louis Bourges, Jean-François Korobelnik, Michel Pâques, Pierre Lebranchu, et al.. Ocular injuries caused by less-lethal weapons in France. The Lancet, 2019, 394 (10209), pp.1616-1617. ⟨10.1016/S0140-6736(19)31807-0⟩. ⟨hal-02545485⟩
[ HTTP ]