|| Marc'Aurelio Ranzato
University of Toronto - Department of Comp. Science
10 King's College Road, room 3302
Toronto, ON M5S 3G4 CANADA
Email: ranzato [AT] cs [DOT] toronto [DOT] edu
I am currently a research scientist at Google in Mountain View CA. Before joining
Google in the fall 2011, I was a post-doctoral fellow in Machine
Learning, University of Toronto. I worked in Geoffrey Hinton's lab
for two wonderful years.
I did my Ph.D. in Computer Science at New York University in Yann LeCun's group. I am originally from Padova in Italy, where I graduated in Electronics Engineering.
I am interested in Machine Learning, Computer Vision and, more generally, Artificial Intelligence.
I have worked on Unsupervised Learning algorithms using both probabilistic graphical models and energy-based models. I also used these algorithms to build hierarchical models, called deep networks. I applied these models to a variety of applications, such as visual object recognition, speech recognition, text document retrieval.
This is my current official website.
Scale Visual Recognition:
Ondrej Chum, Zaid Harchaoui, Herve Jegou, Florent Perronnin,
Andrea Vedaldi and I are preparing a one-day tutorial at CVPR 2013.
Deep Learning for Vision:
Rob Fergus, Honglak Lee, Ruslan Salakthudinov, Graham Taylor, Kai
Yu and I prepared a one-day tutorial at CVPR 2012.
2012 Workshop on Representation Learning together with Aaron
Courville, Hugo Larochelle and Yoshua Bengio.
I was invited at
2012 Graduate Summer School in Deep Learning / Feature Learning at UCLA
I am serving as Area Chair
for ICML 2013 ,
ICML 2012 , UAI
2012 and NIPS