activity
20182022
most citedTopology and geometry of data manifold in deep learning

5 citations · 9 across the 6 of their papers we have counts for

collaborators

8 papers

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.LG20225 cited

Topology and geometry of data manifold in deep learning

German Magai, Anton Ayzenberg

Despite significant advances in the field of deep learning in applications to various fields, explaining the inner processes of deep learning models remains an important and open q…

math.AT2022

Topological approach to diagonalization algorithms

Anton Ayzenberg, Konstantin Sorokin

In this paper we prove that there exists an asymptotical diagonalization algorithm for a class of sparse Hermitian (or real symmetric) matrices if and only if the matrices become H…

math.AG2022

The second cohomology of regular semisimple Hessenberg varieties from GKM theory

Anton Ayzenberg, Mikiya Masuda, Takashi Sato

We describe the second cohomology of a regular semisimple Hessenberg variety by generators and relations explicitly in terms of GKM theory. The cohomology of a regular semisimple H…

math.CO20223 cited

Matroids in toric topology

Anton Ayzenberg, Vladislav Cherepanov

In this paper we study general torus actions on manifolds with isolated fixed points from combinatorial point of view. The main object of study is the poset of face submanifolds of…

math.AT20191 cited

Topology of nerves and formal concepts

Anton Ayzenberg

The general goal of this paper is to gather and review several methods from homotopy and combinatorial topology and formal concepts analysis (FCA) and analyze their connections. FC…