François Savard

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All published works

Action	Title	Year	Authors
+ PDF Chat	BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks	2024	Juan Rodríguez Xie Jian Siba Smarak Panigrahi Tianyu Zhang Aarash Feizi Abhay Puri Akshay Kalkunte François Savard Ahmed Masry Shravan Nayak
+	Theano: A Python framework for fast computation of mathematical expressions	2016	The Theano Development Team Rami Al‐Rfou Guillaume Alain Amjad Almahairi Christof Angermueller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov
+	Deep Self-Taught Learning for Handwritten Character Recognition	2010	Frédéric Bastien Yoshua Bengio Arnaud Bergeron Nicolas Boulanger-Lewandowski Thomas M. Breuel Youssouf Chherawala Moustapha Cissé Myriam Côté Dumitru Erhan Jeremy Eustache

Common Coauthors

Coauthor	Papers Together
Arnaud Bergeron	2
Nicolas Boulanger-Lewandowski	2
Xavier Glorot	2
Yoshua Bengio	2
Razvan Pascanu	2
Christopher Pal	2
Dumitru Erhan	2
Frédéric Bastien	2
Myriam Côté	2
M. Graham	1
Moustapha Cissé	1
Pierre-Antoine Manzagol	1
John Schulman	1
John Salvatier	1
Josh Bleecher Snyder	1
Kai Jia	1
Ian Goodfellow	1
Vivek Kulkarni	1
Balázs Hidasi	1
Siva Subramanyam	1
Saizheng Zhang	1
M. Roth	1
Robert T. McGibbon	1
Amirhossein Abaskohi	1
Xavier Bouthillier	1
Pierre‐André Noël	1
Matthew Rocklin	1
Vincent Michalski	1
Jean-Philippe Heng	1
Yann N. Dauphin	1
Shreya Agarwal	1
Matthew Willson	1
Rami Al‐Rfou	1
Zhouhan Lin	1
Kathleen MacDonald	1
Shravan Nayak	1
Guillaume Alain	1
Nicolas Bouchard	1
Yoshua Bengio	1
Issam Laradji	1
Perouz Taslakian	1
Roland Memisevic	1
Alex Lamb	1
Xie Jian	1
Eric Larsen	1
Sean Hughes	1
Samira Ebrahimi Kahou	1
Jakub Sygnowski	1
Pascal Lamblin	1
Dmitriy Serdyuk	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Describing Videos by Exploiting Temporal Structure	2015	Li Yao Atousa Torabi Kyunghyun Cho Nicolas Ballas Christopher Pal Hugo Larochelle Aaron Courville	1
+	Recurrent Neural Network Regularization	2014	Wojciech Zaremba Ilya Sutskever Oriol Vinyals	1
+	One weird trick for parallelizing convolutional neural networks	2014	Alex Krizhevsky	1
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	1
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	Blocks and Fuel: Frameworks for deep learning	2015	Bart van Merriënboer Dzmitry Bahdanau Vincent Dumoulin Dmitriy Serdyuk David Warde-Farley Jan Chorowski Yoshua Bengio	1
+ PDF Chat	The NumPy Array: A Structure for Efficient Numerical Computation	2011	Stéfan van der Walt Steven C. Colbert Gaël Varoquaux	1
+	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	2015	Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang	1
+ PDF Chat	Probabilistic programming in Python using PyMC3	2016	John Salvatier Thomas V. Wiecki Christopher Fonnesbeck	1
+	Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design	2016	Minsoo Rhu Natalia Gimelshein Jason Clemons Arslan Zulfiqar Stephen W. Keckler	1
+	A guide to convolution arithmetic for deep learning	2016	Vincent Dumoulin Francesco Visin	1
+	Training Deep Nets with Sublinear Memory Cost	2016	Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin	1
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	1
+	Deep learning with Elastic Averaging SGD	2014	Sixin Zhang Anna Choromanska Yann LeCun	1
+	Learning internal representations	1995	Jonathan Baxter	1