12 citations · 17 across the 15 of their papers we have counts for
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stat.ML2023
Entropic perspective on AI resilience, data-minimal learning and optimal control
Illia Horenko
Behind the general terms like adversarial attacks and generative adversarial networks (GANs), such criteria as AI resilience and AI robustness gained a crucial importance, in tryin…
cs.LG2023
Gauge-optimal approximate learning for small data classification problems
Edoardo Vecchi, Davide Bassetti, Fabio Graziato +2
Small data learning problems are characterized by a significant discrepancy between the limited amount of response variable observations and the large feature space dimension. In t…
cs.LG2023
Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction
Illia Horenko, Lukas Pospisil
In many data science applications, the objective is to extract appropriately-ordered smooth low-dimensional data patterns from high-dimensional data sets. This is challenging since…