Julia Gusak
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks. | Julia Gusak, Xunyi Zhao, Thotime Le Hellard, Zhe Li, Lionel Eyraud-Dubois, Olivier Beaumont |
| 2023 | ICML | Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. | Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan V. Oseledets |
| 2023 | ICML | Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch. | Xunyi Zhao, Thotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont |
| 2023 | PACLIC | Efficient GPT Model Pre-training using Tensor Train Matrix Representation. | Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets |
| 2022 | IJCAI | Survey on Efficient Training of Large Neural Networks. | Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont |
| 2020 | ECCV | Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. | Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavsk, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki |