Alexander Chervov

According to our database, Alexander Chervov authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks.

Alexander Chervov, F. Levkovich-Maslyuk, A. Smolensky, F. Khafizov, Igor Kiselev, D. Melnikov, Ivan Koltsov, S. Kudashev, D. Shiltsov, Mark Obozov, S. Krymskii, V. Kirova, E. V. Konstantinova, A. Soibelman, S. Galkin, Lilya A. Grunwald, A. Kotov, A. Alexandrov, S. Lytkin, D. Fedoriaka, A. Chevychelov, Z. Kogan, A. Natyrova, Lyudmila 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

CoRR, March, 2026

2025

CayleyPy Growth: Efficient growth computations and hundreds of new conjectures on Cayley graphs (Brief version).

Alexander Chervov, D. Fedoriaka, E. Konstantinova, A. Naumov, Igor Kiselev, A. Sheveleva, Ivan 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, Lilya A. Grunwald, S. Galkin, E. Koldunov, S. Diner, A. Chevychelov, E. Kudasheva, Arsenii Sychev, A. Kravchenko, Z. Kogan, A. Natyrova, L. Shishina, Lyudmila Cheldieva, Vladislav Zamkovoy, D. Kovalenko, O. Papulov, S. Kudashev, D. Shiltsov, R. Turtayev, O. Nikitina, D. Mamayeva, S. Nikolenko, Mark Obozov, A. Titarenko, A. Dolgorukova, A. Aparnev, O. Debeaupuis, S. Alami C., H. Isambert

CoRR, September, 2025

CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs.

Alexander 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, Vladislav Zamkovoy, Lyudmila Cheldieva, Ivan Koltsov, Arsenii Sychev, Mark 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, Kirill Khoruzhii, Alexey Romanov

CoRR, February, 2025

A Machine Learning Approach That Beats Large Rubik's Cubes.

Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev, Vladislav Zamkovoy, Ivan Koltsov, Lyudmila Cheldieva, Arsenii Sychev, Arsenii Lenin, Mark Obozov, Egor Urvanov, Alexey Romanov

CoRR, February, 2025

A machine learning approach that beats Rubik's cubes.

Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev, Vladislav Zamkovoy, Ivan Koltsov, Lyudmila Cheldieva, Arsenii Sychev, Arsenii Lenin, Mark Obozov, Egor Urvanov, Alexey Romanov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2022

Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data.

Elise Amblard, Jonathan Bac, Alexander Chervov, Vassili Soumelis, Andrei Yu. Zinovyev

Bioinform., 2022

2021

Clinical trajectories estimated from bulk tumoral molecular profiles using elastic principal trees.

Alexander Chervov, Andrei Yu. Zinovyev

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets.

Alexander Chervov, Jonathan Bac, Andrei Yu. Zinovyev

Entropy, 2020

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data.

Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov, Evgeny M. Mirkes, Yuliya V. Orlova, Emmanuel Barillot, Alexander N. Gorban, Andrei Yu. Zinovyev

CoRR, 2020