Igor Kiselev - RankMe

16 papers A* 7A 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks. CoRR A. Chervov, F. Levkovich-Maslyuk, A. Smolensky, F. Khafizov, Igor Kiselev, D. Melnikov, I. Koltsov, S. Kudashev, D. Shiltsov, M. Obozov, S. Krymskii, V. Kirova, E. V. Konstantinova, A. Soibelman, S. Galkin, L. Grunwald, A. Kotov, A. Alexandrov, S. Lytkin, D. Fedoriaka, A. Chevychelov, Z. Kogan, A. Natyrova, L. Cheldieva, O. Nikitina, S. Fironov, A. Vakhrushev, A. Lukyanenko, V. Ilin, D. Gorodkov, N. Bogachev, I. Gaiur, M. Zaitsev, F. Petrov, L. Petrov, T. Gaintseva, A. Gavrilova, M. N. Smirnov, N. Kalinin, A. Khan, K. Jung, H. Mousset, H. Isambert, O. Debeaupuis
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
2025	A*	`conf`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	CayleyPy Growth: Efficient growth computations and hundreds of new conjectures on Cayley graphs (Brief version). CoRR A. Chervov, D. Fedoriaka, E. Konstantinova, A. Naumov, Igor Kiselev, A. Sheveleva, I. Koltsov, S. Lytkin, A. Smolensky, A. Soibelman, F. Levkovich-Maslyuk, R. Grimov, D. Volovich, Artem Isakov, A. Kostin, M. Litvinov, N. Vilkin-Krom, A. Bidzhiev, A. Krasnyi, M. Evseev, E. Geraseva, L. Grunwald, S. Galkin, E. Koldunov, S. Diner, A. Chevychelov, E. Kudasheva, A. Sychev, A. Kravchenko, Z. Kogan, A. Natyrova, L. Shishina, L. Cheldieva, V. Zamkovoy, D. Kovalenko, O. Papulov, S. Kudashev, D. Shiltsov, R. Turtayev, O. Nikitina, D. Mamayeva, S. Nikolenko, M. Obozov, A. Titarenko, A. Dolgorukova, A. Aparnev, O. Debeaupuis, S. Alami C., H. Isambert
2025	J	`jnl`	CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs. CoRR A. Chervov, A. Soibelman, S. Lytkin, Igor Kiselev, S. Fironov, A. Lukyanenko, A. Dolgorukova, A. Ogurtsov, F. Petrov, S. Krymskii, M. Evseev, L. Grunvald, D. Gorodkov, G. Antiufeev, G. Verbii, V. Zamkovoy, L. Cheldieva, I. Koltsov, A. Sychev, M. Obozov, A. Eliseev, S. Nikolenko, N. Narynbaev, R. Turtayev, N. Rokotyan, S. Kovalev, A. Rozanov, V. Nelin, S. Ermilov, L. Shishina, D. Mamayeva, A. Korolkova, K. Khoruzhii, A. Romanov
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`	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
2019	A*	`conf`	Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy. AAAI Igor Kiselev
2014	A*	`conf`	A Novel Single-DBN Generative Model for Optimizing POMDP Controllers by Probabilistic Inference. AAAI Igor Kiselev, Pascal Poupart
2014	A	`conf`	Policy optimization by marginal-map probabilistic inference in generative models. AAMAS Igor Kiselev, Pascal Poupart
2009	—	`ch.`	A Multiagent Approach to Adaptive Continuous Analysis of Streaming Data in Complex Uncertain Environments. Data Mining and Multi-agent Integration Igor Kiselev, Reda Alhajj
2008	A*	`conf`	A Self-organizing Multi-agent System for Adaptive Continuous Unsupervised Learning in Complex Uncertain Environments. AAAI Igor Kiselev, Reda Alhajj
2008	—	`conf`	An Adaptive Multi-agent System for Continuous Learning of Streaming Data. IAT Igor Kiselev, Reda Alhajj
2007	A*	`conf`	Towards an Adaptive Approach for Distributed Resource Allocation in a Multi-agent System for Solving Dynamic Vehicle Routing Problems. AAAI Igor Kiselev, Andrey Glaschenko, Alexander Chevelev, Petr Skobelev