Marc'Aurelio Ranzato, PhD

Affiliations: 
Google, Inc., Mountain View, CA, United States 
Area:
vision, learning, computational neuroscience
Website:
http://www.cs.toronto.edu/~ranzato/
Google:
"Marc'Aurelio Ranzato"
Bio:

PhD Courant Institute/NYU
Postdoc, U. of Toronto

Mean distance: 16.81 (cluster 17)
 
SNBCP

Parents

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Yann LeCun grad student 2004-2009 NYU
 (Unsupervised learning of feature hierarchies.)
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Publications

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Ranzato M’, Hinton G, LeCun Y. (2015) Guest Editorial: Deep Learning International Journal of Computer Vision. 113: 1-2
Taigman Y, Yang M, Ranzato M, et al. (2014) DeepFace: Closing the gap to human-level performance in face verification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1701-1708
Zhang N, Paluri M, Ranzato M, et al. (2014) PANDA: Pose aligned networks for deep attribute modeling Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1637-1644
Ranzato M, Mnih V, Susskind JM, et al. (2013) Modeling natural images using gated MRFs. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2206-22
Ranzato M, Mnih V, Susskind JM, et al. (2013) Modeling Natural Images Using Gated MRFs. Ieee Transactions On Pattern Analysis and Machine Intelligence
Zeiler MD, Ranzato M, Monga R, et al. (2013) On rectified linear units for speech processing Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3517-3521
Denil M, Shakibi B, Dinh L, et al. (2013) Predicting parameters in deep learning Advances in Neural Information Processing Systems
Ranzato M, Susskind J, Mnih V, et al. (2011) On deep generative models with applications to recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2857-2864
Swersky K, Ranzato M, Buchman D, et al. (2011) On autoencoders and score matching for energy based models Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1201-1208
Ranzato M, Hinton GE. (2010) Modeling pixel means and covariances using factorized third-order Boltzmann machines Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2551-2558
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