3 papers
cs.LG2026
Spectral characteristics of autoencoder parameters as a vector representation of data
Maria Nikitina, Anton Bishuk, Oleg Bakhteev
This paper examines the relationship between the parameters of autoencoder models and the statistical properties of the data on which they are trained. Autoencoders are defined as…
cs.LG2026
Structure Aware Neural Architecture Search for Mixture of Experts
Petr Babkin, Oleg Bakhteev
Neural Architecture Search (NAS) has so far rarely been applied to Mixture-of-Experts (MoE) models, and existing MoE designs leave the alignment between experts and the structure o…
cs.LG2026
Surrogate assisted diversity estimation in neural ensemble search
Alexandr Udeneev, Petr Babkin, Oleg Bakhteev
Ensembles are a standard way to improve the performance and robustness of deep neural networks, but their effectiveness crucially depends on both the quality and the diversity of i…