2 citations · 2 across the 5 of their papers we have counts for
5 papers
WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms
Peng Cao, Zhijian Yang, Tennison Liu +17
Wearable sensors enable the continuous acquisition of high-resolution physiological waveforms, such as photoplethysmography and accelerometry, under free-living conditions. However…
Cardiovascular-Kidney-Metabolic Health Age Using Wearables and Blood Biomarkers
Zeinab Esmaeilpour, A. Ali Heydari, Daniel McDuff +7
Cardiovascular-Kidney-Metabolic (CKM) syndrome represents a growing public health crisis, yet its subclinical heterogeneity remains underexplored. Early detection of physiological…
Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis
Isaac R. Galatzer-Levy, Jed McGiffin, David Munday +6
Generative AI's rapid advancement sparks interest in its cognitive abilities, especially given its capacity for tasks like language understanding and code generation. This study ex…
The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks
Isaac R. Galatzer-Levy, David Munday, Jed McGiffin +6
There is increasing interest in tracking the capabilities of general intelligence foundation models. This study benchmarks leading large language models and vision language models…
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
Akshay Paruchuri, Jake Garrison, Shun Liao +5
Language models (LM) are capable of remarkably complex linguistic tasks; however, numerical reasoning is an area in which they frequently struggle. An important but rarely evaluate…