18 citations · 22 across the 10 of their papers we have counts for
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cs.LG2026
ConceptTS: LLM-Guided Concept Bottlenecks for Interpretable Multivariate Time-Series Forecasting
Yichen Jiang, Yueqiao Chen, Dongyu Liu
State-of-the-art multivariate time-series forecasters can model complex temporal and cross-variable dependencies, yet their opaque representations provide limited insight into why…
cs.LG2026
DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings
Yuya Kawakami, Daniel Cayan, Dongyu Liu +2
Pluvial (rainfall-driven) flooding accounts for 45% of National Flood Insurance Program (NFIP) claims in the United States and is harder to predict than its riverine and coastal co…
cs.LG2025
SigTime: Learning and Visually Explaining Time Series Signatures
Yu-Chia Huang, Juntong Chen, Dongyu Liu +1
Understanding and distinguishing temporal patterns in time series data is essential for scientific discovery and decision-making. For example, in biomedical research, uncovering me…