Teaching – Vidal Lab

Fall 2025
- ESE-6450-001 Deep Generative Models
Fall 2024
- ESE-9000-004 Deep Generative Models
Fall 2023
- ESE-9000-004 Deep Generative Models
Fall 2019
- EN.580.745 Mathematics of Deep Learning
Fall 2018
- EN.580.745 Mathematics of Deep Learning
- EN.580.421/721 Biomedical Data Science
Fall 2017
- MVA ENS Unsupervised Learning: From Big Data to Low-Dimensional Representations
Spring 2017
- 600.692 Unsupervised Learning: From Big Data to Low-Dimensional Representations
Spring 2016
- 600.692 Advanced Topics in Machine Learning: Modeling and Segmentation of High-Dimensional Data
Fall 2014
- 600.461/600.661 Computer Vision
Spring 2014
- 600.692 Advanced Topics in Machine Learning: Modeling and Segmentation of High-Dimensional Data
Fall 2013
- 600.361/600.461 Computer Vision
Spring 2011
- (580.222) Signal, Systems and Control
Spring 2010
- 580.692/600.692 Advanced Topics in Machine Learning
- 580.222 Signal, Systems and Control
Spring 2009
- (580.681/600.681) Advanced Topics in Computer Vision
- 580.222 Signal, Systems and Control
Spring 2008
- 580.481/600.361/600.461) Computer Vision
- 580.222 Signal, Systems and Control
Spring 2007
- (530.616/580.616/520.601) Introduction to Linear Systems
- 580.222 Signal, Systems and Control
Fall 2006
- 580.692 Learning Theory II: Modeling and Segmentation of Multivariate Mixed Data
Spring 2006
- 580.222 Signal, Systems and Control
Spring 2005
- BME 580.464 Advanced Topics in Computer Vision