Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images. - Mohammad Ibrahim Sarker; Hyongsuk Kim; Denis Tarasov; Dinar Akhmetzanov (CoRR, 2019)

Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size. - Alexander Nikulin; Vladislav Kurenkov; Denis Tarasov; Dmitry Akimov; Sergey Kolesnikov (CoRR, 2022)

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows. - Dmitriy Akimov; Vladislav Kurenkov; Alexander Nikulin; Denis Tarasov; Sergey Kolesnikov (CoRR, 2022)

Anti-Exploration by Random Network Distillation. - Alexander Nikulin; Vladislav Kurenkov; Denis Tarasov; Sergey Kolesnikov (ICML, 2023)

Katakomba: Tools and Benchmarks for Data-Driven NetHack. - Vladislav Kurenkov; Alexander Nikulin; Denis Tarasov; Sergey Kolesnikov (NeurIPS, 2023)

Revisiting the Minimalist Approach to Offline Reinforcement Learning. - Denis Tarasov; Vladislav Kurenkov; Alexander Nikulin; Sergey Kolesnikov (NeurIPS, 2023)

CORL: Research-oriented Deep Offline Reinforcement Learning Library. - Denis Tarasov; Alexander Nikulin; Dmitry Akimov; Vladislav Kurenkov; Sergey Kolesnikov (NeurIPS, 2023)

Predicting perceived ethnicity with data on personal names in Russia. - Alexey Bessudnov; Denis Tarasov; Viacheslav Panasovets; Veronica Kostenko; Ivan Smirnov; Vladimir Uspenskiy (J. Comput. Soc. Sci., 2023)

Distilling LLMs' Decomposition Abilities into Compact Language Models. - Denis Tarasov; Kumar Shridhar (CoRR, 2024)

The Role of Deep Learning Regularizations on Actors in Offline RL. - Denis Tarasov; Anja Surina; Caglar Gulcehre (CoRR, 2024)

Is Value Functions Estimation with Classification Plug-and- play for Offline Reinforcement Learning? - Denis Tarasov; Kirill Brilliantov; Dmitrii Kharlapenko (Trans. Mach. Learn. Res., 2024)

Vintix: Action Model via In-Context Reinforcement Learning. - Andrey Polubarov; Nikita Lyubaykin; Alexander Derevyagin; Ilya Zisman; Denis Tarasov; Alexander Nikulin; Vladislav Kurenkov (CoRR, 2025)

Latent Action Learning Requires Supervision in the Presence of Distractors. - Alexander Nikulin; Ilya Zisman; Denis Tarasov; Nikita Lyubaykin; Andrei Polubarov; Igor Kiselev; Vladislav Kurenkov (CoRR, 2025)

Object-Centric Latent Action Learning. - Albina Klepach; Alexander Nikulin; Ilya Zisman; Denis Tarasov; Alexander Derevyagin; Andrei Polubarov; Nikita Lyubaykin; Vladislav Kurenkov (CoRR, 2025)

Yes, Q-learning Helps Offline In-Context RL. - Denis Tarasov; Alexander Nikulin; Ilya Zisman; Albina Klepach; Andrei Polubarov; Nikita Lyubaykin; Alexander Derevyagin; Igor Kiselev; Vladislav Kurenkov (CoRR, 2025)

cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning. - Maksim Kolodiazhnyi; Denis Tarasov; Dmitrii Zhemchuzhnikov; Alexander Nikulin; Ilya Zisman; Anna Vorontsova; Anton Konushin; Vladislav Kurenkov; Danila Rukhovich (CoRR, 2025)