Reduced-Order Modeling of Deep Neural Networks. - Talgat Daulbaev; Julia Gusak; Evgeny Ponomarev; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2019)

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. - Talgat Daulbaev; Alexandr Katrutsa; Larisa Markeeva; Julia Gusak; Andrzej Cichocki; Ivan V. Oseledets (NeurIPS, 2020)

Interpolated Adjoint Method for Neural ODEs. - Talgat Daulbaev; Alexandr Katrutsa; Larisa Markeeva; Julia Gusak; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2020)

Towards Understanding Normalization in Neural ODEs. - Julia Gusak; Larisa Markeeva; Talgat Daulbaev; Alexandr Katrutsa; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2020)

Black-box learning of multigrid parameters. - Alexandr Katrutsa; Talgat Daulbaev; Ivan V. Oseledets (J. Comput. Appl. Math., 2020)

Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. - Chunfeng Cui; Kaiqi Zhang 002; Talgat Daulbaev; Julia Gusak; Ivan V. Oseledets; Zheng Zhang 005 (SIAM J. Math. Data Sci., 2020)

Meta-Solver for Neural Ordinary Differential Equations. - Julia Gusak; Alexandr Katrutsa; Talgat Daulbaev; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2021)

LoTR: Low Tensor Rank Weight Adaptation. - Daniel Bershatsky; Daria Cherniuk; Talgat Daulbaev; Aleksandr Mikhalev; Ivan V. Oseledets (CoRR, 2024)