2 papers
cs.LG2026
ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification
Paul Quinlan, Qingguo Li, Xiaodan Zhu
Recent work on time-series models has leveraged self-supervised training to learn meaningful features and patterns in order to improve performance on downstream tasks and generaliz…
cs.AI2026
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data
Paul Quinlan, Qingguo Li, Xiaodan Zhu
Large language models are being rapidly deployed across many fields such as healthcare, finance, transportation, and energy, where time-series data are fundamental components. The…