Current Academic Year (at JHU)
Vision as Bayesian Inference.
Spring Semester. 2024.
Vision as Bayesian Inference.
Spring Semester. 2023.
Vision as Bayesian Inference.
Spring Semester. 2022.
Vision as Bayesian Inference.
Spring Semester. 2020.
Probabilistic
Models of the Visual Cortex. Fall Semester. 2019.
Probabilistic
Models of the Visual Cortex. Fall Semester. 2018.
Probabilistic
Models of the Visual Cortex. Fall Semester. 2017.
Probabilistic
Models of the Visual Cortex. Fall Semester. 2016.
Previously Taught (at UCLA).
- Stat
271. Probabilistic Models of the Visual Cortex. Fall.
2015.
- Stat 238: Vision as Bayesian Inference. Winter. 2015.
- Stat 271: Probabilistic Models of the Visual Cortex. Fall 2014
- Stat 161/261: Introduction to Machine Learning. Spring 2014
- Stat238:Vision as Bayesian
Inference. Winter 2014
- Stat271:Probabilistic Models of the Visual Cortex :Fall 2013
- Stat 161/261: Introduction to Machine Learning: Spring 2013.
- Stat 202C: Markov Chain Monte Carlo
and Optimization: Spring 2012.
- Stat
238: Vision as Bayesian Inference: Winter 2012.
- Sun
Yan-Sen: Summer
2011.
- Stat
202C.
Marko Chain Monte Carlo and Optimization: Spring 2011.
- Stat 238.
Vision as Bayesian Inference: Winter 2011.
- Stat 161/261 Introduction to Machine Learning: Spring 2010.
- Stat 202C. Markov Chain Monte Carlo and Optimization: Spring 2010.
- Stat 238. Vision as Bayesian Inference: Winter 2010.
- Stat 238. Vision as
Bayesian Inference: Winter 2009.
- Stat 231(CS 276). Pattern Recognition and Machine Learning: Fall 2008.
- Stat 239. Probabilistic Models of Cognition. Winter 2008.
- Stat 153. Statistical Analysis with Missing data. Fall 2006.
- Stat 19. Vision for the Blind. Winter 2004.