Denis Tarasov - RankMe

27 papers A* 7Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Object-Centric Latent Action Learning. AAAI Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Igor Kiselev, Vladislav Kurenkov
2026	J	`jnl`	Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows. CoRR Chenyu Yang, Denis Tarasov, Davide Liconti, Hehui Zheng, Robert K. Katzschmann
2026	J	`jnl`	Vision-Language Models Unlock Task-Centric Latent Actions. CoRR Alexander Nikulin, Ilya Zisman, Albina Klepach, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov
2025	A*	`conf`	Latent Action Learning Requires Supervision in the Presence of Distractors. ICML Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov
2025	J	`jnl`	Latent Action Learning Requires Supervision in the Presence of Distractors. CoRR Alexander Nikulin, Ilya Zisman, Denis Tarasov, Nikita Lyubaykin, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov
2025	J	`jnl`	NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows. CoRR Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Nikita Lyubaykin, Andrei Polubarov, Alexander Derevyagin, Vladislav Kurenkov
2025	J	`jnl`	Object-Centric Latent Action Learning. CoRR Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Vladislav Kurenkov
2025	A*	`conf`	Vintix: Action Model via In-Context Reinforcement Learning. ICML Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov
2025	J	`jnl`	Vintix: Action Model via In-Context Reinforcement Learning. CoRR Andrey Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov
2025	J	`jnl`	Yes, Q-learning Helps Offline In-Context RL. CoRR Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Igor Kiselev, Vladislav Kurenkov
2025	J	`jnl`	cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning. CoRR Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov, Alexander Nikulin, Ilya Zisman, Anna Vorontsova, Anton Konushin, Vladislav Kurenkov, Danila Rukhovich
2024	J	`jnl`	Distilling LLMs' Decomposition Abilities into Compact Language Models. CoRR Denis Tarasov, Kumar Shridhar
2024	J	`jnl`	Is Value Functions Estimation with Classification Plug-and- play for Offline Reinforcement Learning? Trans. Mach. Learn. Res. Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko
2024	J	`jnl`	Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? CoRR Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko
2024	J	`jnl`	The Role of Deep Learning Regularizations on Actors in Offline RL. CoRR Denis Tarasov, Anja Surina, Caglar Gulcehre
2023	A*	`conf`	Anti-Exploration by Random Network Distillation. ICML Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
2023	J	`jnl`	Anti-Exploration by Random Network Distillation. CoRR Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov
2023	A*	`conf`	CORL: Research-oriented Deep Offline Reinforcement Learning Library. NeurIPS Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
2023	A*	`conf`	Katakomba: Tools and Benchmarks for Data-Driven NetHack. NeurIPS Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
2023	J	`jnl`	Katakomba: Tools and Benchmarks for Data-Driven NetHack. CoRR Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
2023	J	`jnl`	Predicting perceived ethnicity with data on personal names in Russia. J. Comput. Soc. Sci. Alexey Bessudnov, Denis Tarasov, Viacheslav Panasovets, Veronica Kostenko, Ivan Smirnov, Vladimir Uspenskiy
2023	A*	`conf`	Revisiting the Minimalist Approach to Offline Reinforcement Learning. NeurIPS Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
2023	J	`jnl`	Revisiting the Minimalist Approach to Offline Reinforcement Learning. CoRR Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
2022	J	`jnl`	CORL: Research-oriented Deep Offline Reinforcement Learning Library. CoRR Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov
2022	J	`jnl`	Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows. CoRR Dmitriy Akimov, Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
2022	J	`jnl`	Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size. CoRR Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov
2019	J	`jnl`	Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images. CoRR Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov, Dinar Akhmetzanov