2 papers
cs.LG2026
GENADA: efficient generative time series adversarial attack framework
Michael Baronov, Denis Vorobev, Margarita Rusanova +2
Deep learning models are widely used for time series analysis in domains such as healthcare, finance, energy systems, and environmental monitoring. However, these models remain vul…
cs.LG2026
Looking around you: external information enhances representations for event sequences
Petr Sokerin, Maria Kovaleva, Ekaterina Boyarina +3
Representation learning produces models in different domains, such as store purchases, client transactions, and general people's behavior. However, such models for event sequences…