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Deep Latent Variable Modeling of Physiological Signals

Zoom

DATE/TIME: Friday, May 24th, 9:30 am
SPEAKER: PhD Candidate Khuong An Vo
A deep latent variable model is a powerful tool for modeling complex distributions. These models assume that underlying structures, but unobserved, are present within the data. In this dissertation, we explore high-dimensional problems related to physiological monitoring using latent variable models.

Differential Privacy for Non-standard Settings

EH 5204

Name: Joann Chen Chair: Prof. Zhou Li Date: May 28, 2024 Time:  11:00 AM Location: EH 5204 Committee: Prof. Yanning Shen, Prof. Gene Tsudik Title: Differential Privacy for Non-standard Settings Abstract: […]

Multi-Sensor Data Fusion and Machine Learning for Adaptive Autonomous Systems

ISEB 1200 Interdisciplinary Science and Engineering Building University of California, Irve, Irvine, CA, United States

Name: Trier Mortlock Chair: Prof. Mohammad Al Faruque Date: May 31, 2024 Time:  2 PM Location: ISEB 1200 Committee: Prof. Faryar Jabbari, Prof. Pramod Khargonekar Title: Multi-Sensor Data Fusion and […]