2 papers
cs.AI2026
READ-Bench: Benchmarking Historical Instance Retrieval for Time-Series Diagnosis
Gerardo Pastrana, Haojun Li, Dhruv Mehta +4
Time-series diagnostic systems rarely rely on retrieving relevant historical cases, and when they do, retrieval is evaluated only indirectly through downstream prediction. We intro…
cs.LG2026
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
Utsav Dutta, Gerardo Pastrana, Sina Khoshfetrat Pakazad +1
Transformer-based architectures have advanced sequence modeling in language and vision, yet general-purpose representation learning for heterogeneous multivariate time series remai…