Alert button
Picture for Mohammad Pezeshki

Mohammad Pezeshki

Alert button

Deconstructing the Ladder Network Architecture

May 24, 2016
Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron Courville, Yoshua Bengio

Figure 1 for Deconstructing the Ladder Network Architecture
Figure 2 for Deconstructing the Ladder Network Architecture
Figure 3 for Deconstructing the Ladder Network Architecture
Figure 4 for Deconstructing the Ladder Network Architecture
Viaarxiv icon

Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

Figure 1 for Theano: A Python framework for fast computation of mathematical expressions
Figure 2 for Theano: A Python framework for fast computation of mathematical expressions
Figure 3 for Theano: A Python framework for fast computation of mathematical expressions
Figure 4 for Theano: A Python framework for fast computation of mathematical expressions
Viaarxiv icon

Sequence Modeling using Gated Recurrent Neural Networks

Jan 01, 2015
Mohammad Pezeshki

Figure 1 for Sequence Modeling using Gated Recurrent Neural Networks
Figure 2 for Sequence Modeling using Gated Recurrent Neural Networks
Figure 3 for Sequence Modeling using Gated Recurrent Neural Networks
Figure 4 for Sequence Modeling using Gated Recurrent Neural Networks
Viaarxiv icon

Distinction between features extracted using deep belief networks

Jan 02, 2014
Mohammad Pezeshki, Sajjad Gholami, Ahmad Nickabadi

Figure 1 for Distinction between features extracted using deep belief networks
Figure 2 for Distinction between features extracted using deep belief networks
Figure 3 for Distinction between features extracted using deep belief networks
Figure 4 for Distinction between features extracted using deep belief networks
Viaarxiv icon

Deep Belief Networks for Image Denoising

Jan 02, 2014
Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour

Figure 1 for Deep Belief Networks for Image Denoising
Figure 2 for Deep Belief Networks for Image Denoising
Figure 3 for Deep Belief Networks for Image Denoising
Figure 4 for Deep Belief Networks for Image Denoising
Viaarxiv icon