Maxim Beketov

Postgraduate Student:Independent HSE Departments / Department of Higher Mathematics
Research Assistant:Faculty of Computer Science / AI and Digital Science Institute / International Laboratory of Stochastic Algorithms and High-Dimensional Inference
Visiting Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School

Maxim Beketov has been at HSE University since 2020.

Responsibilities

Moving forward

Education

2017
Master's
Moscow Institute of Physics and Technology
2015
Bachelor's
Moscow Institute of Physics and Technology

Professional Interests

Topological data analysis machine learning computational geometry mathematical statistics statistical physics Riemannian geometry quantum computing algebraic topology information geometry Differential Geometry dimensionality reduction computational neuroscience

Postgraduate Studies

4th year of study
Approved topic of thesis: Generative models for data with nontrivial topology and their applications
Academic Supervisor: Yanovich, Yury

Publications⁸

My arxiv.org author page

Chapter Ayzenberg A., Beketov M., Burashnikova A., Magaj G., Polevoi A., Shanin I., Sorokin K. Chordal Embeddings Based on Topology of the Tonal Space, in: Artificial Intelligence in Music, Sound, Art and Design: 12th International Conference, EvoMUSART 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings Vol. 13988. Cham : Springer, 2023. doi Ch. 2. P. 20-33. doi
Preprint Ayzenberg A., Beketov M., Magaj G. Coverings by open and closed hemispheres / Cornell University. Series arxiv:math.AT "arxiv Algebraic Topology". 2023. doi
Preprint Pospelov N., Chertkov A., Beketov M., Oseledets I., Anokhin K. Fast gradient-free activation maximization for neurons in spiking neural networks / Cornell University. Series arxiv:cs.NE "arxiv Neural and Evolutionary Computing". 2023. doi
Preprint Sorokin K., Зайцев А. В., Левин А. М., Magaj G., Beketov M., Sotskov V. Global cognitive graph properties dynamics of hippocampal formation / Cornell University. Series arxiv:q-bio.NC "arxiv Quantitative Biology". 2023. doi
Preprint Sorokin K., Ayzenberg A., Анохин К. В., Сотсков В. П., Beketov M., Drynkin R., Зайцев А. В. Topology of cognitive maps / Cornell University. Series Computer Science "arxiv.org". 2022. doi
Preprint Miolane N., Caorsi M., Lupo U., Guerard M., Guigui N., Mathe J., Cabanes Y., Reise W., Davies T., Leitão A., Mohapatra S., Utpala S., Shailja S., Corso G., Liu G., Iuricich F., Manolache A., Nistor M., Bejan M., Nicolicioiu A. M., Luchian B., Stupariu M., Michel F., Khanh D. D., Abdulrahman B., Beketov M., Maignant E., Liu Z., Černý M., Bauw M., Velasco-Forero S., Angulo J., Long Y. ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results / Cornell University. Series CS "arxiv.org". 2021. No. 2108.09810. doi
Article Berezutskii A., Beketov M., Yudin D., Zimborás Z., Biamonte J. Probing criticality in quantum spin chains with neural networks // Journal of Physics: Complexity. 2020. Vol. 1. No. 3. Article 03LT01. doi
Article Beketov M., Lyashik A., Zabrodin A., Zotov A. Trigonometric version of quantum–classical duality in integrable systems // Nuclear Physics B. 2016. Vol. 903. P. 150-163. doi

Conferences

2023
4th Workshop on Topological Methods in Data Analysis (Heidelberg). Presentation: Topologically Autoencoding  Cognitive Maps
Топология, комбинаторика и анализ данных (Воронеж). Presentation: Когомологии пучков и графовые нейросети (Sheaf cohomology and graph neural networks (GNNs), in Russian)
Алгебраическая топология, гиперболическая геометрия и компьютерный анализ данных (Томск). Presentation: Симметричные гиперболические вложения данных в машинном обучении (Symmetric hyperbolic embeddings of data in Machine Learning, in Russian)
2022
The interdisciplinary world of tangling conference (Потсдам). Presentation: Reconstructing knots from point clouds with persistent homology
Международная школа «Торическая топология, комбинаторика и анализ данных» (Санкт-Петербург). Presentation: Топологические дескрипторы и их применения в анализе данных  (Topological descriptors and their usage in data analysis, in Russian)
2016
Integrable Systems and Quantum Symmetries 24 (Прага). Presentation: Quantum-classical duality between the Ruijsenaars-Schneider model and the quantum twisted spin chain: the trigonometric/anisotropic case

Employment history

Scientific translator (Russian-English) – Pleiades Publishing, October 2017 - June 2018

International Baccalaureate Mathematics & Computer Science (Diploma Programme) teacher – The Romanov School, January 2018 - May 2020

Data Scientist (recommender systems, etc.) – App In The Air, June 2018 - February 2019

Python developer (computational geometry) – Archeads, September 2019 - June 2020

Timetable for today

Show timetable archive

Full timetable

May

2022

‘I Like to Think that the Solutions We Find Can Help People in the Future’

Innopolis University has announced the results of Global Al Challenge, an international AI industry online hackathon in which teams of developers compete to create new materials using artificial intelligence. The DrugANNs team, which included students from the HSE University Faculty of Computer Science, took third place.