activity
20202026
most citedTensorized Transformer for Dynamical Systems Modeling

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2026

Random Quadratic Form on a Sphere: Synchronization by Common Noise

Maximilian Engel, Anna Shalova

We introduce the Random Quadratic Form (RQF): a stochastic differential equation which formally corresponds to the gradient flow of a random quadratic functional on a sphere. While…

math.AP2025

Nonlinear diffusion limit of non-local interactions on a sphere

Mark A. Peletier, Anna Shalova

We study an aggregation PDE with competing attractive and repulsive forces on a sphere of arbitrary dimension. In particular, we consider the limit of strongly localized repulsion…

math.AP2025

Solutions of stationary McKean-Vlasov equation on a high-dimensional sphere and other Riemannian manifolds

Anna Shalova, André Schlichting

We study stationary solutions of McKean-Vlasov equation on a high-dimensional sphere and other compact Riemannian manifolds. We extend the equivalence of the energetic problem form…

cs.LG2024

Singular-limit analysis of gradient descent with noise injection

Anna Shalova, André Schlichting, Mark Peletier

We study the limiting dynamics of a large class of noisy gradient descent systems in the overparameterized regime. In this regime the set of global minimizers of the loss is large,…

cs.LG20204 cited

Tensorized Transformer for Dynamical Systems Modeling

Anna Shalova, Ivan Oseledets

The identification of nonlinear dynamics from observations is essential for the alignment of the theoretical ideas and experimental data. The last, in turn, is often corrupted by t…

math.DS20203 cited

Deep Representation Learning for Dynamical Systems Modeling

Anna Shalova, Ivan Oseledets

Proper states' representations are the key to the successful dynamics modeling of chaotic systems. Inspired by recent advances of deep representations in various areas such as natu…