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
1221 2019 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
409 2018 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
241 2018 Wasserstein-2 Generative Networks A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev
The 9th International Conference on Learning Representations (ICLR 2021), 2021
122 2021 Neural Optimal Transport with General Cost Functionals A Asadulaev, A Korotin, V Egiazarian, P Mokrov, E Burnaev
The 12th International Conference on Learning Representations (ICLR 2024), 2024
38 2024 Exploring and Exploiting Conditioning of Reinforcement Learning Agents A Asadulaev, I Kuznetsov, G Stein, A Filchenkov
IEEE Access 8, 211951-211960, 2020
12 2020 Interpretable Few-Shot Learning via Linear Distillation A Asadulaev, I Kuznetsov, A Filchenkov
arXiv preprint arXiv:1906.05431, 2019
4 * 2019 Unbalanced and Light Optimal Transport M Gazdieva, A Asadulaev, E Burnaev, A Korotin
Neural Information Processing Systems 2024 (NeurIPS 2024), 2024
3 * 2024 A Minimalist Approach for Domain Adaptation with Optimal Transport A Asadulaev, V Shutov, A Korotin, A Panfilov, V Kontsevaya, A Filchenkov
Conference on Lifelong Learning Agents, 1009-1024, 2023
2 * 2023 Stabilizing Transformer-Based Action Sequence Generation For Q-Learning G Stein, A Filchenkov, A Asadulaev
AAAI 2021 (RL in Games Workshop), 2020
2 2020 Rethinking Optimal Transport in Offline Reinforcement Learning A Asadulaev, R Korst, A Korotin, V Egiazarian, A Filchenkov, E Burnaev
Neural Information Processing Systems 2024 (NeurIPS 2024), 2024
1 2024 Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization M Persiianov, A Asadulaev, N Andreev, N Starodubcev, D Baranchuk, ...
arXiv preprint arXiv:2410.02628, 2024
1 2024 Adversarial Training Improves Joint Energy-Based Generative Modelling R Korst, A Asadulaev
ICML 2022 (AdvML Workshop), 2022
1 2022 Optimal Transport Maps are Good Voice Converters A Asadulaev, R Korst, V Shutov, A Korotin, Y Grebnyak, V Egiazarian, ...
arXiv preprint arXiv:2411.02402, 2024
2024 Multi-step Domain Adaptation by Adversarial Attack to 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 Transgenerators A Asadulaev, G Stein, A Filchenkov
Proceedings of the 2020 3rd International Conference on Algorithms …, 2020
2020 Conditioning of Reinforcement Learning Agents and its Policy Regularization Application A Asadulaev, I Kuznetsov, G Stein, A Filchenkov
ICML 2020 (BIG Workshop), 2020
2020 Backronym A Asadulaev
arXiv preprint arXiv:1908.01874, 2019
2019 
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