Vidal Lab

Teaching

Courses

SEMESTERCOURSELINK
Fall 2025ESE-6450-001 Deep Generative ModelsCourse Page
Fall 2024ESE-9000-004 Deep Generative Models—
Fall 2023ESE-9000-004 Deep Generative Models—
Fall 2019EN.580.745 Mathematics of Deep LearningCourse Page
Fall 2018EN.580.745 Mathematics of Deep LearningCourse Page
Fall 2018EN.580.421/721 Biomedical Data ScienceCourse Page
Fall 2017MVA ENS Unsupervised Learning: From Big Data to Low-Dimensional RepresentationsCourse Page
Spring 2017600.692 Unsupervised Learning: From Big Data to Low-Dimensional RepresentationsCourse Page
Spring 2016600.692 Advanced Topics in Machine Learning: Modeling and Segmentation of High-Dimensional DataCourse Page
Fall 2014600.461/600.661 Computer VisionCourse Page
Spring 2014600.692 Advanced Topics in Machine Learning: Modeling and Segmentation of High-Dimensional DataCourse Page
Fall 2013600.361/600.461 Computer VisionCourse Page
Spring 2011580.222 Signal, Systems and ControlCourse Page
Spring 2010580.692/600.692 Advanced Topics in Machine LearningCourse Page
Spring 2010580.222 Signal, Systems and ControlCourse Page
Spring 2009580.681/600.681 Advanced Topics in Computer VisionCourse Page
Spring 2009580.222 Signal, Systems and ControlCourse Page
Spring 2008580.481/600.361/600.461 Computer VisionCourse Page
Spring 2008580.222 Signal, Systems and ControlCourse Page
Spring 2007530.616/580.616/520.601 Introduction to Linear SystemsCourse Page
Spring 2007580.222 Signal, Systems and ControlCourse Page
Fall 2006580.692 Learning Theory II: Modeling and Segmentation of Multivariate Mixed DataCourse Page
Spring 2006580.222 Signal, Systems and ControlCourse Page
Spring 2005BME 580.464 Advanced Topics in Computer VisionCourse Page