Daniel Bershatsky

According to our database, Daniel Bershatsky authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

LoTR: Low Tensor Rank Weight Adaptation.

Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets

CoRR, 2024

2023

Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction.

Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin

CoRR, 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

NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers.

Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan V. Oseledets

CoRR, 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