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Unsupervised Model-based Pre-training for Data-efficient Control from Pixels


Sep 24, 2022
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste

* Presented at DARL Workshop @ ICML 2022 

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Multi-label Iterated Learning for Image Classification with Label Ambiguity


Nov 23, 2021
Sai Rajeswar, Pau Rodriguez, Soumye Singhal, David Vazquez, Aaron Courville


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Touch-based Curiosity for Sparse-Reward Tasks


Apr 01, 2021
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville, Pedro O. Pinheiro


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Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation


Apr 17, 2020
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vazquez, Derek Nowrouzezahrai, Aaron Courville

* International Journal of Computer Vision, (2020), 1-16 
* This is a pre-print of an article published in International Journal of Computer Vision. The final authenticated version is available online at: https://doi.org/10.1007/s11263-020-01322-1 

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Pix2Shape -- Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation


Mar 23, 2020
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vazquez, Derek Nowrouzezahrai, Aaron Courville

* International Journal of Computer Vision, (2020), 1-16 
* This is a pre-print of an article published in International Journal of Computer Vision. The final authenticated version is available online at: https://doi.org/10.1007/s11263-020-01322-1 

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Adversarial Computation of Optimal Transport Maps


Jun 24, 2019
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron Courville


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Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data


Jun 18, 2018
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron Courville

* ICML 2018 

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MINE: Mutual Information Neural Estimation


Jun 07, 2018
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, R Devon Hjelm

* ICML 2018 
* 19 pages, 6 figures 

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Hierarchical Adversarially Learned Inference


Feb 04, 2018
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron Courville

* 18 pages, 7 figures 

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A Deep Reinforcement Learning Chatbot (Short Version)


Jan 20, 2018
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

* 9 pages, 1 figure, 2 tables; presented at NIPS 2017, Conversational AI: "Today's Practice and Tomorrow's Potential" Workshop 

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