Julia Gusak

According to our database, Julia Gusak authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantization Aware Factorization for Deep Neural Network Compression.

Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak

J. Artif. Intell. Res., 2024

2023

Efficient GPT Model Pre-training using Tensor Train Matrix Representation.

Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko

CoRR, 2023

Efficient GPT Model Pre-training using Tensor Train Matrix Representation.

Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch.

Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Survey on Large Scale Neural Network Training.

Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont

CoRR, 2022

Memory-Efficient Backpropagation through Large Linear Layers.

Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets

CoRR, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Meta-Solver for Neural Ordinary Differential Equations.

Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2021

2020

Active Subspace of Neural Networks: Structural Analysis and Universal Attacks.

Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang

SIAM J. Math. Data Sci., 2020

Towards Understanding Normalization in Neural ODEs.

Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2020

Interpolated Adjoint Method for Neural ODEs.

Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2020

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs.

Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network.

Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Reduced-Order Modeling of Deep Neural Networks.

Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan V. Oseledets

CoRR, 2019

One time is not enough: iterative tensor decomposition for neural network compression.

Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki

CoRR, 2019

Automated Multi-Stage Compression of Neural Networks.

Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2016

Optimal Control and Sensitivity Analysis for Two Risk Models.

Ekaterina Bulinskaya, Julia Gusak

Commun. Stat. Simul. Comput., 2016