activity
20212026
most citedFast gradient-free activation maximization for neurons in spiking neural networks

2 citations · 4 across the 8 of their papers we have counts for

collaborators

9 papers

math.AT2026

A data structure for quotient flag complexes

Konstantin Sorokin, Aleksandr Levin, Maxim Beketov +1

Vietoris-Rips filtrations, which are standard in topological data analysis, are flag complexes, and a simplex tree stores these without any attaching data. In this paper we ask wha…

cs.LG2026

Reparameterization through Coverings and Topological Weight Priors

Maxim Beketov, Pavel Snopov

We generalise the reparameterization trick (RT) applied in variational autoencoders (VAEs) letting these have latent spaces of non-trivial topology - i.e. that of base manifolds co…

cs.SI2025

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

Arsenii Onuchin, Konstantin Sorokin, Maxim Beketov +1

Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on R…

cs.LG2024★ 2 cited

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70

This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…

cs.NE2024★ 2 cited

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

Nikita Pospelov, Andrei Chertkov, Maxim Beketov +2

Elements of neural networks, both biological and artificial, can be described by their selectivity for specific cognitive features. Understanding these features is important for un…

math.AT2023

Coverings by open and closed hemispheres

Anton Ayzenberg, Maxim Beketov, German Magai

In this paper we study the nerves of two types of coverings of a sphere : (1) coverings by open hemispheres; (2) antipodal coverings by closed hemispheres. In the first ca…

q-bio.NC2023

Global cognitive graph properties dynamics of hippocampal formation

Konstantin Sorokin, Andrey Zaitsew, Aleksandr Levin +3

In the present study we have used a set of methods and metrics to build a graph of relative neural connections in a hippocampus of a rodent. A set of graphs was built on top of tim…

q-bio.NC2022

Topology of cognitive maps

Konstantin Sorokin, Anton Ayzenberg, Konstantin Anokhin +4

In present paper we discuss several approaches to reconstructing the topology of the physical space from neural activity data of CA1 fields in mice hippocampus, in particular, havi…

cs.CG2021

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

Nina Miolane, Matteo Caorsi, Umberto Lupo +30

This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning…