62 citations
- Moscow Institute of Physics and TechnologyRU21 papers
- Lomonosov Moscow State UniversityRU11 papers
- Russian Academy of SciencesRU11 papers
- Innopolis UniversityRU8 papers
- Steklov Mathematical InstituteRU6 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institute of Physics and TechnologyKZ4 papers
- Moscow Aviation InstituteRU4 papers
- Moscow Power Engineering InstituteRU4 papers
- National Research University Higher School of EconomicsRU4 papers
- École Normale Supérieure de LyonFR3 papers
- Institute for Information Transmission ProblemsRU3 papers
52 papers
EEG-Driven Image Reconstruction with Saliency-Guided Diffusion Models
Igor Abramov, Ilya Makarov
Existing EEG-driven image reconstruction methods often overlook spatial attention mechanisms, limiting fidelity and semantic coherence. To address this, we propose a dual-condition…
Weak coupling limit for quantum systems with unbounded weakly commuting system operators
Ilya Lopatin, Alexander Pechen
This work is devoted to a rigorous analysis of the weak coupling limit (WCL) for the reduced dynamics of an open infinite-dimensional quantum system interacting with electromagneti…
Robustness questions the interpretability of graph neural networks: what to do?
Kirill Lukyanov, Georgii Sazonov, Serafim Boyarsky +1
Graph Neural Networks (GNNs) have become a cornerstone in graph-based data analysis, with applications in diverse domains such as bioinformatics, social networks, and recommendatio…
Unitary transform diagonalizing the Confluent Hypergeometric kernel
Sergei M. Gorbunov
We consider the image of the operator inducing the determinantal point process with the confluent hypergeometric kernel. The space is described as the image of under a…
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity
Dmitry Bylinkin, Aleksandr Beznosikov
In recent years, as data and problem sizes have increased, distributed learning has become an essential tool for training high-performance models. However, the communication bottle…
Control of Overfitting with Physics
Sergei V. Kozyrev, Ilya A Lopatin, Alexander N Pechen
While there are many works on the applications of machine learning, not so many of them are trying to understand the theoretical justifications to explain their efficiency. In this…