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Yulia Gusak
- Chargé de Recherches
- INRIA
- Department
- SATANAS
- Team
- Tools and Optimization for high Performance Applications and Learning
- E-mail address
- yulia.gusak
labri.fr - Tel
- +33 (0)9 99 99 99 99
Excerpt from publications
- Xunyi Zhao, Lionel Eyraud-Dubois, Théotime Le Hellard, Julia Gusak, Olivier Beaumont. OFFMATE: full fine-tuning of LLMs on a single GPU by re-materialization and offloading. 2024.
- Julia Gusak, Xunyi Zhao, Théotime Le Hellard, Zhe Li, Lionel Eyraud-Dubois, et al.. HiRemate: Hierarchical Approach for Efficient Re-materialization of Large Neural Networks. 2024.
- Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont. Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch. ICML 2023 - 40 th International Conference on Machine Learning, Jul 2023, Honolulu (HI), United States.
- Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, et al.. Survey on Large Scale Neural Network Training. IJCAI-ECAI 2022 - 31st International Joint Conference on Artificial Intelligence, Jul 2022, Vienna, Austria. pp.5494-5501,