Marc'Aurelio Ranzato, PhD
Affiliations: | Google, Inc., Mountain View, CA, United States |
Area:
vision, learning, computational neuroscienceWebsite:
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) | S | N | B | C | P |
Parents
Sign in to add mentor| Yann LeCun | grad student | 2004-2009 | NYU | |
| (Unsupervised learning of feature hierarchies.) | ||||
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Publications
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| Chintala S, Ranzato M, Szlam A, et al. (2017) Scale-invariant learning and convolutional networks Applied and Computational Harmonic Analysis. 42: 154-166 |
| Ranzato M’, Hinton G, LeCun Y. (2015) Guest Editorial: Deep Learning International Journal of Computer Vision. 113: 1-2 |
| 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 |
| Senior A, Heigold G, Ranzato M, et al. (2013) An empirical study of learning rates in deep neural networks for speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6724-6728 |
| 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 |
| Le QV, Ranzato M, Monga R, et al. (2012) Building high-level features using large scale unsupervised learning Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 81-88 |
| 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 |
| 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 |