Reinforced Adversarial Neural Computer for de Novo Molecular Design. - Evgeny Putin; Arip Asadulaev; Yan Ivanenkov; Vladimir Aladinskiy; Benjamín Sánchez-Lengeling; Alán Aspuru-Guzik; Alex Zhavoronkov (J. Chem. Inf. Model., 2018)

Linear Distillation Learning. - Arip Asadulaev; Igor Kuznetsov; Andrey Filchenkov (CoRR, 2019)

Jacobian Policy Optimizations. - Arip Asadulaev; Gideon Stein; Igor Kuznetsov; Andrey Filchenkov (CoRR, 2019)

Backronym. - Arip Asadulaev (CoRR, 2019)

Wasserstein-2 Generative Networks. - Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Evgeny Burnaev (CoRR, 2019)

Transgenerators. - Arip Asadulaev; Gideon Stein; Andrey Filchenkov (ACAI, 2020)

Exploring and Exploiting Conditioning of Reinforcement Learning Agents. - Arip Asadulaev; Igor Kuznetsov; Gideon Stein; Andrey Filchenkov (IEEE Access, 2020)

Stabilizing Transformer-Based Action Sequence Generation For Q-Learning. - Gideon Stein; Andrey Filchenkov; Arip Asadulaev (CoRR, 2020)

Wasserstein-2 Generative Networks. - Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Alexander Safin; Evgeny Burnaev (ICLR, 2021)

Neural Optimal Transport with General Cost Functionals. - Arip Asadulaev; Alexander Korotin; Vage Egiazarian; Evgeny Burnaev (CoRR, 2022)

Connecting adversarial attacks and optimal transport for domain adaptation. - Arip Asadulaev; Vitaly Shutov; Alexander Korotin; Alexander Panfilov; Andrey Filchenkov (CoRR, 2022)

Easy Batch Normalization. - Arip Asadulaev; Alexander Panfilov; Andrey Filchenkov (CoRR, 2022)

Multi-step domain adaptation by adversarial attack to H ΔH-divergence. - Arip Asadulaev; Alexander Panfilov; Andrey Filchenkov (CoRR, 2022)

Adversarial Training Improves Joint Energy-Based Generative Modelling. - Rostislav Korst; Arip Asadulaev (CoRR, 2022)

A Minimalist Approach for Domain Adaptation with Optimal Transport. - Arip Asadulaev; Vitaly Shutov; Alexander Korotin; Alexander Panfilov; Vladislava Kontsevaya; Andrey Filchenkov (CoLLAs, 2023)

Neural Optimal Transport with General Cost Functionals. - Arip Asadulaev; Alexander Korotin; Vage Egiazarian; Petr Mokrov; Evgeny Burnaev (ICLR, 2024)

Rethinking Optimal Transport in Offline Reinforcement Learning. - Arip Asadulaev; Rostislav Korst; Aleksandr Korotin; Vage Egiazarian; Andrey Filchenkov; Evgeny Burnaev (NeurIPS, 2024)

Light Unbalanced Optimal Transport. - Milena Gazdieva; Arip Asadulaev; Evgeny Burnaev; Aleksandr Korotin (NeurIPS, 2024)

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. - Mikhail Persiianov; Arip Asadulaev; Nikita Andreev; Nikita Starodubcev; Dmitry Baranchuk; Anastasis Kratsios; Evgeny Burnaev; Alexander Korotin (CoRR, 2024)

Optimal Transport Maps are Good Voice Converters. - Arip Asadulaev; Rostislav Korst; Vitalii Shutov; Alexander Korotin; Yaroslav Grebnyak; Vahe Egiazarian; Evgeny Burnaev (CoRR, 2024)