Talgat Daulbaev

According to our database, Talgat Daulbaev authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Matcha: Multi-Stage Riemannian Flow Matching for Accurate and Physically Valid Molecular Docking.

Daria Frolova, Talgat Daulbaev, Egor Sevriugov, Sergei A. Nikolenko, Dmitry N. Ivankov, Ivan V. Oseledets, Marina A. Pak

CoRR, October, 2025

2024

LoTR: Low Tensor Rank Weight Adaptation.

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

CoRR, 2024

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

Black-box learning of multigrid parameters.

Alexandr Katrutsa, Talgat Daulbaev, Ivan V. Oseledets

J. Comput. Appl. Math., 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

2019

Reduced-Order Modeling of Deep Neural Networks.

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

CoRR, 2019