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Talgat Daulbaev
Talgat Daulbaev
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Title
Cited by
Cited by
Year
Black-box learning of multigrid parameters
A Katrutsa, T Daulbaev, I Oseledets
Journal of Computational and Applied Mathematics 368, 112524, 2020
73*2020
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
T Daulbaev, A Katrutsa, L Markeeva, J Gusak, A Cichocki, I Oseledets
Advances in Neural Information Processing Systems 33, 2020
42*2020
Active subspace of neural networks: Structural analysis and universal attacks
C Cui, K Zhang, T Daulbaev, J Gusak, I Oseledets, Z Zhang
SIAM Journal on Mathematics of Data Science 2 (4), 1096-1122, 2020
372020
Towards Understanding Normalization in Neural ODEs
J Gusak, L Markeeva, T Daulbaev, A Katrutsa, A Cichocki, I Oseledets
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
172020
Reduced-order modeling of deep neural networks
J Gusak, T Daulbaev, E Ponomarev, A Cichocki, I Oseledets
Computational Mathematics and Mathematical Physics 61 (5), 774-785, 2021
102021
LoTR: Low Tensor Rank Weight Adaptation
D Bershatsky, D Cherniuk, T Daulbaev, I Oseledets
arXiv preprint arXiv:2402.01376, 2024
32024
Meta-Solver for Neural Ordinary Differential Equations
J Gusak, A Katrutsa, T Daulbaev, A Cichocki, I Oseledets
https://arxiv.org/abs/2103.08561, 2021
12021
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