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Active Perception and Representation for Robotic Manipulation

Mar 15, 2020
Youssef Zaky, Gaurav Paruthi, Bryan Tripp, James Bergstra


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Autoregressive Policies for Continuous Control Deep Reinforcement Learning

Mar 27, 2019
Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra

* Submitted to 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). Video: https://youtu.be/NCpyXBNqNmw Code: https://github.com/dkorenkevych/arp 

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Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Sep 20, 2018
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra

* Appears in Proceedings of the Second Conference on Robot Learning (CoRL 2018). Companion video at https://youtu.be/ovDfhvjpQd8 and source code at https://github.com/kindredresearch/SenseAct 

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Setting up a Reinforcement Learning Task with a Real-World Robot

Mar 19, 2018
A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra

* Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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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

* 19 pages, 5 figures 

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Pylearn2: a machine learning research library

Aug 20, 2013
Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, Yoshua Bengio

* 9 pages 

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Challenges in Representation Learning: A report on three machine learning contests

Jul 01, 2013
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

* 8 pages, 2 figures 

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Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?

Jun 14, 2013
James Bergstra, David D. Cox

* Presented at the Workshop on Representation and Learning, ICML 2013 

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Theano: new features and speed improvements

Nov 23, 2012
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, Yoshua Bengio

* Presented at the Deep Learning Workshop, NIPS 2012 

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The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All)

Sep 30, 2011
James Bergstra, Aaron Courville, Yoshua Bengio

* 9 pages, 8 figures 

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