Maxim Beketov

According to our database, Maxim Beketov authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Reparameterization through Coverings and Topological Weight Priors.

Maxim Beketov, Pavel Snopov

CoRR, April, 2026

2025

Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection.

Arsenii Onuchin, Konstantin Sorokin, Maxim Beketov, Liubov Tupikina

CoRR, November, 2025

Fast gradient-free activation maximization for neurons in spiking neural networks.

Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan V. Oseledets, Konstantin Anokhin

Neurocomputing, 2025

Dimension-Augmented Anisotropy in Graph Neural Diffusion.

Tatiana Sycheva, Maxim Beketov, Ivan Smolyar

Proceedings of the Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025

2024

VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal Control.

Matvey Gerasyov, Dmitrii Kiselev, Maxim Beketov, Ilya Makarov

Proceedings of the IEEE International Conference on Data Mining, 2024

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.

Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Global cognitive graph properties dynamics of hippocampal formation.

Konstantin Sorokin, Andrey Zaitsev, Aleksandr Levin, German Magai, Maxim Beketov, Vladimir Sotskov

CoRR, 2023

Chordal Embeddings Based on Topology of the Tonal Space.

Anton Ayzenberg, Maxim Beketov, Aleksandra Burashnikova, German Magai, Anton Polevoi, Ivan Shanin, Konstantin Sorokin

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2023

2022

Topology of cognitive maps.

Konstantin Sorokin, Anton Ayzenberg, Konstantin Anokhin, Vladimir Sotskov, Maxim Beketov, Andrey Zaitsev, Robert Drinking

CoRR, 2022

2021

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.

Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long

CoRR, 2021