Arip Asadulaev

26 papers A* 4Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Guess & Guide: Gradient-Free Zero-Shot Diffusion Guidance. CoRR Abduragim Shtanchaev, Albina Ilina, Yazid Janati, Arip Asadulaev, Martin Takác, Eric Moulines
2026	J	`jnl`	Zero-Shot Off-Policy Learning. CoRR Arip Asadulaev, Maksim Bobrin, Salem Lahlou, Dmitry V. Dylov, Fakhri Karray, Martin Takác
2025	J	`jnl`	Deep Improvement Supervision. CoRR Arip Asadulaev, Rayan Banerjee, Fakhri Karray, Martin Takác
2025	J	`jnl`	Expert or not? assessing data quality in offline reinforcement learning. CoRR Arip Asadulaev, Fakhri Karray, Martin Takác
2025	J	`jnl`	Y-shaped Generative Flows. CoRR Arip Asadulaev, Semyon Semenov, Abduragim Shtanchaev, Eric Moulines, Fakhri Karray, Martin Takác
2024	J	`jnl`	Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. CoRR Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
2024	A*	`conf`	Light Unbalanced Optimal Transport. NeurIPS Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Aleksandr Korotin
2024	A*	`conf`	Neural Optimal Transport with General Cost Functionals. ICLR Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev
2024	J	`jnl`	Optimal Transport Maps are Good Voice Converters. CoRR Arip Asadulaev, Rostislav Korst, Vitalii Shutov, Alexander Korotin, Yaroslav Grebnyak, Vahe Egiazarian, Evgeny Burnaev
2024	A*	`conf`	Rethinking Optimal Transport in Offline Reinforcement Learning. NeurIPS Arip Asadulaev, Rostislav Korst, Aleksandr Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
2024	J	`jnl`	Rethinking Optimal Transport in Offline Reinforcement Learning. CoRR Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
2023	—	`conf`	A Minimalist Approach for Domain Adaptation with Optimal Transport. CoLLAs Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov
2022	J	`jnl`	Adversarial Training Improves Joint Energy-Based Generative Modelling. CoRR Rostislav Korst, Arip Asadulaev
2022	J	`jnl`	Connecting adversarial attacks and optimal transport for domain adaptation. CoRR Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Andrey Filchenkov
2022	J	`jnl`	Easy Batch Normalization. CoRR Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
2022	J	`jnl`	Multi-step domain adaptation by adversarial attack to H ΔH-divergence. CoRR Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
2022	J	`jnl`	Neural Optimal Transport with General Cost Functionals. CoRR Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Evgeny Burnaev
2021	A*	`conf`	Wasserstein-2 Generative Networks. ICLR Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev
2020	J	`jnl`	Exploring and Exploiting Conditioning of Reinforcement Learning Agents. IEEE Access Arip Asadulaev, Igor Kuznetsov, Gideon Stein, Andrey Filchenkov
2020	J	`jnl`	Stabilizing Transformer-Based Action Sequence Generation For Q-Learning. CoRR Gideon Stein, Andrey Filchenkov, Arip Asadulaev
2020	—	`conf`	Transgenerators. ACAI Arip Asadulaev, Gideon Stein, Andrey Filchenkov
2019	J	`jnl`	Backronym. CoRR Arip Asadulaev
2019	J	`jnl`	Jacobian Policy Optimizations. CoRR Arip Asadulaev, Gideon Stein, Igor Kuznetsov, Andrey Filchenkov
2019	J	`jnl`	Linear Distillation Learning. CoRR Arip Asadulaev, Igor Kuznetsov, Andrey Filchenkov
2019	J	`jnl`	Wasserstein-2 Generative Networks. CoRR Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev
2018	J	`jnl`	Reinforced Adversarial Neural Computer for de Novo Molecular Design. J. Chem. Inf. Model. Evgeny Putin, Arip Asadulaev, Yan Ivanenkov, Vladimir Aladinskiy, Benjamín Sánchez-Lengeling, Alán Aspuru-Guzik, Alex Zhavoronkov