Arip Asadulaev

According to our database, Arip Asadulaev authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal Transport Maps are Good Voice Converters.

Arip Asadulaev, Rostislav Korst, Vitalii Shutov, Alexander Korotin, Yaroslav Grebnyak, Vahe Egiazarian, Evgeny Burnaev

CoRR, 2024

Rethinking Optimal Transport in Offline Reinforcement Learning.

Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev

CoRR, 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

Neural Optimal Transport with General Cost Functionals.

Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Minimalist Approach for Domain Adaptation with Optimal Transport.

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Adversarial Training Improves Joint Energy-Based Generative Modelling.

Rostislav Korst, Arip Asadulaev

CoRR, 2022

Multi-step domain adaptation by adversarial attack to H ΔH-divergence.

Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

Easy Batch Normalization.

Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

Connecting adversarial attacks and optimal transport for domain adaptation.

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

Neural Optimal Transport with General Cost Functionals.

Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Evgeny Burnaev

CoRR, 2022

2021

Wasserstein-2 Generative Networks.

Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Stabilizing Transformer-Based Action Sequence Generation For Q-Learning.

Gideon Stein, Andrey Filchenkov, Arip Asadulaev

CoRR, 2020

Exploring and Exploiting Conditioning of Reinforcement Learning Agents.

Arip Asadulaev, Igor Kuznetsov, Gideon Stein, Andrey Filchenkov

IEEE Access, 2020

Transgenerators.

Arip Asadulaev, Gideon Stein, Andrey Filchenkov

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019

Wasserstein-2 Generative Networks.

Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev

CoRR, 2019

Backronym.

Arip Asadulaev

CoRR, 2019

Jacobian Policy Optimizations.

Arip Asadulaev, Gideon Stein, Igor Kuznetsov, Andrey Filchenkov

CoRR, 2019

Linear Distillation Learning.

Arip Asadulaev, Igor Kuznetsov, Andrey Filchenkov

CoRR, 2019

2018

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