Author

Ning Wang

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#machine learning Preprint Oct 2026

PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone Reasoning

Consumer phones and wearables increasingly collect physiological time-series data, yet most mobile systems treat these streams as summaries or text rather than as temporal evidence. This representation is poorly matched to personal health systems that need to retrieve, route, or summarize sensor evidence while preservi...

Max Rosenblattl, Nikhil Krishnaswamy, Leon Nissen et al. · 0 citations

#machine learning Preprint Oct 2026

TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data

Time-series data generated continuously across industrial, environmental, and especially health domains produce multimodal signals whose scale and heterogeneity make their processing and interpretation particularly challenging. Time-Series Language Models (TSLMs) promise scalable interpretation of these signals, yet re...

Max Rosenblattl, Milana Gurbanova, Karl Aurel Deck et al. · 0 citations

#machine learning Preprint Aug 2026

TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

TimeRLM, an RLM formulation for time-series that sequentially manipulates the signal using code and vision capabilities, and AnomalyXL, a synthetic long-context anomaly localization benchmark with programmatically injected anomalies that require precise retrieval.

Nicolas Zumarraga, Lorenzo Steno, Ning Wang et al. · 0 citations