Oleg Rogov - RankMe

16 papers A* 2A 1C 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Feature Drift: How Fine-Tuning Repurposes Representations in LLMs. EACL (Findings) Andrey V. Galichin, Anton Korznikov, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2026	A*	`conf`	I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. AAAI Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2026	J	`jnl`	Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines? CoRR Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina
2025	J	`jnl`	A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models. CoRR Kirill Borodin, Nikita Vasiliev, Vasiliy Kudryavtsev, Maxim V. Maslov, Mikhail Gorodnichev, Oleg Rogov, Grach Mkrtchian
2025	J	`jnl`	Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation. CoRR Nabil Hezil, Suraj Singh, Vita V. Vlasova, Oleg Rogov, Ahmed Bouridane, Rifat Hamoudi
2025	—	`conf`	CLEAR: Character Unlearning in Textual and Visual Modalities. ACL (Findings) Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina
2025	J	`jnl`	Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs. CoRR Nikita Afonin, Nikita Andriyanov, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Alexander Panchenko, Oleg Rogov, Elena Tutubalina, Mikhail Seleznyov
2025	A	`conf`	Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy. INTERSPEECH Elvir Karimov, Alexander Varlamov, Danil Ivanov, Dmitrii Korzh, Oleg Rogov
2025	J	`jnl`	OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features. CoRR Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2025	J	`jnl`	Spread them Apart: Towards Robust Watermarking of Generated Content. CoRR Mikhail Pautov, Danil Ivanov, Andrey V. Galichin, Oleg Rogov, Ivan V. Oseledets
2024	A*	`conf`	Probabilistically Robust Watermarking of Neural Networks. IJCAI Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets
2024	J	`jnl`	Probabilistically Robust Watermarking of Neural Networks. CoRR Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets
2024	J	`jnl`	Suppressing Modulation Instability with Reinforcement Learning. CoRR Nikolay I. Kalmykov, Rishat R. Zagidullin, Oleg Rogov, Sergey G. Rykovanov, Dmitry V. Dylov
2020	J	`jnl`	Deep Negative Volume Segmentation. CoRR Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov
2020	J	`jnl`	Learnable Hollow Kernels for Anatomical Segmentation. CoRR Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov
2020	C	`conf`	Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning. ICARCV Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, Dmitry V. Dylov