Sequential Interval Passing for Compressed Sensing

Posted by Chicago

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Remi Chou, Taejoon Kim, , | Summary: The reconstruction of sparse signals from a limited set of measurements poses a significant challenge as it necessitates a solution to an underdetermined system of linear equations. Compressed sensing (CS) deals with sparse signal reconstruction using techniques such […]


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ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xinzhe Zheng, Sijie Ji, Jiawei Sun, Renqi Chen, Wei Gao | Summary: Mental health risk is a critical global public health challenge, necessitating innovative and reliable assessment methods. With the development of large language models (LLMs), they stand out to be a promising tool for explainable mental […]


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