Generalization for Time Series in Tight Settings: Latency, Inference, Memory, prIvacy and Sustainability (TS-LIMITS)

TS-LIMITS studies time-series models under practical deployment constraints. Researchers consider generalization together with latency, inference cost, memory, privacy and sustainability, reflecting the requirements of applications such as health monitoring, telecommunications and industrial sensing. Session: 08:30–18:15 (Europe/Paris). A paid NeurIPS virtual pass includes workshop livestreams; on-site access follows the host-location registration rules.