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Arip Asadulaev
Arip Asadulaev
Artificial Intelligence Research Institute / ITMO University
Verified email at itmo.ru - Homepage
Title
Cited by
Cited by
Year
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
A Zhavoronkov, YA Ivanenkov, A Aliper, MS Veselov, VA Aladinskiy, ...
Nature biotechnology 37 (9), 1038-1040, 2019
7892019
Reinforced Adversarial Neural Computer for de Novo Molecular Design
E Putin, A Asadulaev, Y Ivanenkov, V Aladinskiy, B Sanchez-Lengeling, ...
Journal of chemical information and modeling 58 (6), 1194-1204, 2018
3032018
Adversarial Threshold Neural Computer for Molecular de Novo Design
E Putin, A Asadulaev, Q Vanhaelen, Y Ivanenkov, AV Aladinskaya, ...
Molecular pharmaceutics 15 (10), 4386-4397, 2018
1882018
Wasserstein-2 Generative Networks
A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev
ICLR 2021, 2021
712021
Neural optimal transport with general cost functionals
A Asadulaev, A Korotin, V Egiazarian, P Mokrov, E Burnaev
arXiv preprint arXiv:2205.15403, 2022
152022
Exploring and Exploiting Conditioning of Reinforcement Learning Agents
A Asadulaev, I Kuznetsov, G Stein, A Filchenkov
IEEE Access 8, 211951-211960, 2020
102020
Interpretable Few-Shot Learning via Linear Distillation
A Asadulaev, I Kuznetsov, A Filchenkov
arXiv preprint arXiv:1906.05431, 2019
4*2019
Subset conditioning using variational autoencoder with a learnable tensor train induced prior
A Aliper, A Zavoronkovs, A Zhebrak, D Polykovskiy, M Kuznetsov, ...
US Patent 11,593,660, 2023
12023
Adversarial Training Improves Joint Energy-Based Generative Modelling
R Korst, A Asadulaev
ICML 2022 AdvML Workshop, 2022
12022
Connecting adversarial attacks and optimal transport for domain adaptation
A Asadulaev, V Shutov, A Korotin, A Panfilov, A Filchenkov
arXiv preprint arXiv:2205.15424, 2022
12022
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning
G Stein, A Filchenkov, A Asadulaev
AAAI 2021 (RL in Games Workshop), 2020
12020
Multi-step domain adaptation by adversarial attack to -divergence
A Asadulaev, A Panfilov, A Filchenkov
ICML 2022 AdvML Workshop, 2022
2022
Easy Batch Normalization
A Asadulaev, A Panfilov, A Filchenkov
ICML 2022 AdvML Workshop, 2022
2022
Connecting convex energy-based inference and optimal transport for domain adaptation
A Asadulaev
ICLR 2021 (Energy Based Models Workshop), 2021
2021
Conditioning of Reinforcement Learning Agents and its Policy Regularization Application
A Asadulaev, I Kuznetsov, G Stein, A Filchenkov
ICML 2020 (Inductive Biases, Invariances and Generalization in Reinforcement …, 2020
2020
Backronym
A Asadulaev
arXiv preprint arXiv:1908.01874, 2019
2019
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Articles 1–16