Aaron Courville

Core Academic Member
Aaron Courville
Professor, Université de Montréal
Aaron Courville

I’m an Assistant Professor in the Department of Computer Science and Operations Research (DIRO) at the University of Montreal, and member of Mila – Quebec Artificial Intelligence Institute. My current recent research interests focus on the development of deep learning models and methods. I am particularly interested in developing probabilistic models and novel inference methods. While I have mainly focused on applications to computer vision, I am also interested in other domains such as natural language processing, audio signal processing, speech understanding and just about any other artificial-intelligence-related task.

Publications

2020-12

Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis and Aaron Courville
arXiv preprint arXiv:2012.05942
(2020-12-10)
arxiv.orgPDF
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling.
Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler and Aaron Courville
arXiv: Computation and Language
(2020-12-02)
arxiv.orgPDF

2020-11

Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup and Guillaume Lajoie
arXiv preprint arXiv:2011.09468
(2020-11-18)
arxiv.orgPDF
Unsupervised Learning of Dense Visual Representations.
Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmaleck, Florian Golemo and Aaron Courville
arXiv: Computer Vision and Pattern Recognition
(2020-11-11)
arxiv.orgPDF
Recursive Top-Down Production for Sentence Generation with Latent Trees
Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron Courville and Timothy J. O’Donnell
EMNLP 2020
(2020-11-01)
dblp.uni-trier.de
Supervised Seeded Iterated Learning for Interactive Language Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron C. Courville
EMNLP 2020
(2020-11-01)
dblp.uni-trier.dePDF

2020-10

NU-GAN: High resolution neural upsampling with GAN
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio and Aaron Courville
arXiv preprint arXiv:2010.11362
(2020-10-22)
arxiv.orgPDF
Explicitly Modeling Syntax in Language Model improves Generalization
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy and Aaron Courville
arXiv preprint arXiv:2011.07960
(2020-10-21)
ui.adsabs.harvard.eduPDF
Neural Approximate Sufficient Statistics for Implicit Models.
Yanzhi Chen, Dinghuai Zhang, Michael Gutmann, Aaron Courville and Zhanxing Zhu
arXiv preprint arXiv:2010.10079
(2020-10-20)
arxiv.orgPDF
Recursive Top-Down Production for Sentence Generation with Latent Trees.
Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni and Aaron Courville
arXiv preprint arXiv:2010.04704
(2020-10-09)
arxiv.orgPDF
Supervised Seeded Iterated Learning for Interactive Language Learning.
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
arXiv preprint arXiv:2010.02975
(2020-10-06)
ui.adsabs.harvard.eduPDF
Integrating Categorical Semantics into Unsupervised Domain Translation.
Samuel Lavoie-Marchildon, Faruk Ahmed and Aaron Courville
arXiv: Learning
(2020-10-05)
arxiv.orgPDF

2020-07

Data-Efficient Reinforcement Learning with Momentum Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville and Philip Bachman
arXiv preprint arXiv:2007.05929
(2020-07-12)
dblp.uni-trier.dePDF
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville and Olivier Pietquin
ICML 2020
(2020-07-12)
icml.cc
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron Courville, Christopher Pal and Chin-Wei Huang
Generative Graph Perturbations for Scene Graph Prediction.
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
arXiv preprint arXiv:2007.05756
(2020-07-11)
ui.adsabs.harvard.eduPDF
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin and Yoshua Bengio

2020-05

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation.
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
arXiv preprint arXiv:2005.08230
(2020-05-17)
dblp.uni-trier.dePDF

2020-04

On Bonus Based Exploration Methods In The Arcade Learning Environment
Adrien Ali Taiga, William Fedus, Marlos C. Machado, Aaron Courville and Marc G. Bellemare
ICLR 2020
(2020-04-30)
iclr.ccPDF

2020-03

Countering Language Drift with Seeded Iterated Learning.
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
arXiv preprint arXiv:2003.12694
(2020-03-28)
arxiv.orgPDF
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai and Aaron C. Courville
International Journal of Computer Vision
(2020-03-20)
link.springer.com
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai and Aaron C. Courville
International Journal of Computer Vision
(2020-03-20)
link.springer.comPDF
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol and Aaron C. Courville
arXiv preprint arXiv:2003.00688
(2020-03-02)
dblp.uni-trier.dePDF

2020-02

Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models
Chin-Wei Huang, Laurent Dinh and Aaron Courville
ICLR 2020
(2020-02-26)
openreview.netPDF
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models.
Chin-Wei Huang, Laurent Dinh and Aaron C. Courville
arXiv preprint arXiv:2002.07101
(2020-02-17)
dblp.uni-trier.dePDF
Detecting semantic anomalies
Faruk Ahmed and Aaron Courville

2020-01

Unsupervised Learning of Dense Visual Representations
Pedro O. O. Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo and Aaron C. Courville
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF

2019-12

CLOSURE: Assessing Systematic Generalization of CLEVR Models.
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio and Aaron C. Courville
Ordered Memory
Yikang Shen, Shawn Tan, SeyedArian Hosseini, Zhouhan Lin, Alessandro Sordoni and Aaron Courville
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Seton Steven Bocco, Max Smith, Satya O.-G., Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh and Aaron Courville
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio and Aaron Courville

2019-11

Selective Brain Damage: Measuring the Disparate Impact of Model Pruning
Sara Hooker, Aaron C. Courville, Yann N. Dauphin and Andrea Frome
arXiv: Learning
(2019-11-13)
research.googlePDF
What Do Compressed Deep Neural Networks Forget
Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin and Andrea Frome
arXiv preprint arXiv:1911.05248
(2019-11-13)
il.arxiv.org
Deep Generative Modeling of LiDAR Data
Lucas Caccia, Herke van Hoof, Aaron Courville and Joelle Pineau

2019-10

Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni and Aaron Courville
arXiv: Learning
(2019-10-29)
arxiv.orgPDF
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.09570
(2019-10-21)
dblp.uni-trier.dePDF
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas and Aaron Courville
Batch Weight for Domain Adaptation With Mass Shift
Mikolaj Binkowski, Devon Hjelm and Aaron Courville

2019-09

Selfish Emergent Communication
Michael Noukhovitch, Travis LaCroix and Aaron Courville
(venue unknown)
(2019-09-25)
openreview.netPDF
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio and Joseph Paul Cohen
(venue unknown)
(2019-09-25)
openreview.netPDF
No Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau and Aaron Courville
arXiv preprint arXiv:1909.02128
(2019-09-04)
arxiv.orgPDF

2019-08

Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1908.02388
(2019-08-06)
ui.adsabs.harvard.eduPDF

2019-06

Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron C. Courville
arXiv preprint arXiv:1906.09691
(2019-06-24)
ui.adsabs.harvard.eduPDF
Investigating Biases in Textual Entailment Datasets.
Shawn Tan, Yikang Shen, Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.09635
(2019-06-23)
ui.adsabs.harvard.eduPDF
Note on the bias and variance of variational inference.
Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.03708
(2019-06-09)
dblp.uni-trier.dePDF
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste and Aaron Courville
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio and Aaron Courville

2019-05

Representation Mixing for TTS Synthesis
Kyle Kastner, Joao Felipe Santos, Yoshua Bengio and Aaron Courville
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni and Aaron Courville
(venue unknown)
(2019-05-06)
www.microsoft.com
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen, Shawn Tan, Alessandro Sordoni and Aaron Courville
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Mikhail Noukhovitch, Thien H Nguyen, Harm de Vries and Aaron Courville
Reproducibility in Machine Learning
Nan Rosemary Ke, Alex Lamb, Anirudh Goyal Alias Parth Goyal, Aaron Courville and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.cc

2019-03

Counterpoint by Convolution.
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville and Douglas Eck
arXiv preprint arXiv:1903.07227
(2019-03-18)
arxiv.orgPDF

2019-01

Maximum Entropy Generators for Energy-Based Models.
Rithesh Kumar, Anirudh Goyal, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1901.08508
(2019-01-24)
dblp.uni-trier.dePDF
Probability Distillation: A Caveat and Alternatives.
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron C. Courville
UAI 2019
(2019-01-01)
dblp.uni-trier.dePDF
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.
Catalina Cangea, Eugene Belilovsky, Pietro Liò and Aaron C. Courville
Stochastic Neural Network with Kronecker Flow.
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste and Aaron C. Courville

2018-12

Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste and Aaron Courville
Towards Text Generation with Adversarially Learned Neural Outlines
Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron Courville and Chris Pal
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF

2018-11

Planning in Dynamic Environments with Conditional Autoregressive Models.
Johanna Hansen, Kyle Kastner, Aaron C. Courville and Gregory Dudek
arXiv preprint arXiv:1811.10097
(2018-11-25)
ui.adsabs.harvard.eduPDF
Harmonic Recomposition using Conditional Autoregressive Modeling.
Kyle Kastner, Rithesh Kumar, Tim Cooijmans and Aaron C. Courville
arXiv preprint arXiv:1811.07426
(2018-11-18)
dblp.uni-trier.dePDF
Blindfold Baselines for Embodied QA.
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle and Aaron C. Courville
arXiv preprint arXiv:1811.05013
(2018-11-12)
ui.adsabs.harvard.eduPDF

2018-10

Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali Taïga, Aaron C. Courville and Pierre-Yves Oudeyer
Conference on Robot Learning (CoRL) 2018
(2018-10-23)
proceedings.mlr.pressPDF
Deep Learning. Das umfassende Handbuch
Ian Goodfellow, Yoshua Bengio and Aaron Courville
(venue unknown)
(2018-10-10)
content-select.com

2018-09

EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
Rithesh Kumar, Anirudh Goyal, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
On Difficulties of Probability Distillation
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.netPDF
W2GAN: RECOVERING AN OPTIMAL TRANSPORT MAP WITH A GAN
Leygonie Jacob, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.netPDF
Pix2Scene: Learning Implicit 3D Representations from Images
Sai Rajeswar, Fahim Mannan, Florian Golemo, David Vazquez, Derek Nowrouzezahrai and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.net
Unsupervised one-to-many image translation
Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikołaj Bińkowski, Aaron Courville, Yoshua Bengio and R Devon Hjelm
(venue unknown)
(2018-09-27)
openreview.netPDF
Convergence Properties of Deep Neural Networks on Separable Data
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.netPDF
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-09-27)
arxiv.org
On the Learning Dynamics of Deep Neural Networks.
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1809.06848
(2018-09-18)
dblp.uni-trier.dePDF
Visual Reasoning with Multi-hop Feature Modulation
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville and Olivier Pietquin

2018-08

Approximate Exploration through State Abstraction.
Adrien Ali Taïga, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1808.09819
(2018-08-29)
dblp.uni-trier.dePDF

2018-07

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville and Yoshua Bengio
Neural Autoregressive Flows
David Krueger, Chin-Wei Huang, Alexandre Lacoste and Aaron Courville
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman and Aaron Courville
Mutual Information Neural Estimator
Mohamed Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R Devon Hjelm and Aaron Courville
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF
Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville and Yoshua Bengio
Distill
(2018-07-09)
distill.pub

2018-06

On the Spectral Bias of Deep Neural Networks
Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio and Aaron C. Courville
(venue unknown)
(2018-06-22)
dblp.uni-trier.dePDF
Learning Distributed Representations from Reviews for Collaborative Filtering
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho and Aaron Courville
arXiv preprint arXiv:1806.06875
(2018-06-18)
arxiv.orgPDF
Manifold Mixup: Better Representations by Interpolating Hidden States.
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, Aaron Courville, David Lopez-Paz and Yoshua Bengio
arXiv preprint arXiv:1806.05236
(2018-06-13)
arxiv.orgPDF
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-06-13)
dblp.uni-trier.dePDF

2018-04

Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste and Aaron Courville
arXiv preprint arXiv:1804.00779
(2018-04-03)
export.arxiv.orgPDF

2018-03

Generating Contradictory, Neutral, and Entailing Sentences
Yikang Shen, Shawn Tan, Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1803.02710
(2018-03-07)
ui.adsabs.harvard.eduPDF

2018-02

Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic and Aaron Courville
arXiv preprint arXiv:1802.01071
(2018-02-15)
dblp.uni-trier.dePDF
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste and Aaron Courville
arXiv: Machine Learning
(2018-02-15)
openreview.netPDF
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen, Zhouhan Lin, Chin-wei Huang and Aaron Courville
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, Devon Hjelm and Aaron Courville
arXiv preprint arXiv:1801.04062
(2018-02-15)
ui.adsabs.harvard.eduPDF
Learning Generative Models with Locally Disentangled Latent Factors
Brady Neal, Alex Lamb, Sherjil Ozair, Devon Hjelm, Aaron Courville, Yoshua Bengio and Ioannis Mitliagkas
(venue unknown)
(2018-02-15)
openreview.netPDF
Inferring Identity Factors for Grouped Examples
(venue unknown)
(2018-02-12)
openreview.netPDF
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin and Aaron Courville
AAAI 2018
(2018-02-07)
hal.inria.frPDF

2018-01

HoME: a Household Multimodal Environment.
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle and Aaron C. Courville
ICLR 2018
(2018-01-01)
dblp.uni-trier.dePDF

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