2 papers
cs.LG2026
DeNOTS: Stable Deep Neural ODEs for Time Series
Ilya Kuleshov, Evgenia Romanenkova, Vladislav Zhuzhel +3
Neural CDEs provide a natural way to process the temporal evolution of irregular time series. The number of function evaluations (NFE) is these systems' natural analog of depth (th…
cs.LG2024
Designing an attack-defense game: how to increase robustness of financial transaction models via a competition
Alexey Zaytsev, Maria Kovaleva, Alex Natekin +7
Banks routinely use neural networks to make decisions. While these models offer higher accuracy, they are susceptible to adversarial attacks, a risk often overlooked in the context…