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I am a post-doctoral fellow in Machine Learning, University of Toronto. I have been working in Geoffrey Hinton's lab since July 2009. 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 and Computer Vision. I have worked on Unsupervised Learning algorithms to learn representations of data with desirable properties like compactness and sparsity. My projects had applications in a wide range of domains, from visual object recognition to text document classification and retrieval.
as author at 23rd IEEE Conference on Computer Vision and Pattern Recognition 2010 - San Francisco,
together with: Simon Baker, Yu-Wing Tai, David Marimon, Yunpeng Li, Deqing Sun, Shaojie Zhuo, Jingyi Yu, Xiaohui Shen, Manuel Werlberger, Christopher Kanan, Simon Lucey, Dhruv Batra, Kyong Joon Lee, Ayan Chakrabarti, Iasonas Kokkinos, Matthew Zeiler, Hanno Scharr, David S. Bolme, Y-Lan Boureau,
Factored 3-way restricted Boltzmann machines for modeling natural images
as author at 13th International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia 2010,