Author

Manuel Milling

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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

Open access Oct 2026

Defending against deepfake speech attacks via feature dropout and dropin regularization in large audio language models

Deepfakes have raised widespread concern owing to their threats to privacy, security, and societal trust, driving growing research interest in effective detection methods. Audio deepfake detection has moved from handcrafted-feature classifiers to end-to-end deep learning architectures and, more recently, to self-superv...

Yu-Pei Li, Yi-Xiong Fang, Jia-Hao Xue et al. · Frontiers in Artificial Inte... · 0 citations