Sai Rajeswar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Unsupervised Learning

Mutual Information

Language Modeling

Top Venues

Publications

Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR (2024)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar
Multimodal foundation world models for generalist embodied agents. CoRR (2024)
Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio
VCR: Visual Caption Restoration. CoRR (2024)
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR (2024)
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. ICLR (2024)
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh
Equivariant Adaptation of Large Pretrained Models. CoRR (2023)
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. ICML (2023)
Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal
Hyperbolic Deep Reinforcement Learning for Continuous Control. Tiny Papers @ ICLR (2023)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Choreographer: Learning and Adapting Skills in Imagination. ICLR (2023)
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. CoRR (2023)
Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR (2023)
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. CoRR (2022)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Choreographer: Learning and Adapting Skills in Imagination. CoRR (2022)
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CVPR (2022)
Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC (2022)
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CoRR (2021)
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro
Haptics-based Curiosity for Sparse-reward Tasks. CoRL (2021)
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro
Touch-based Curiosity for Sparse-Reward Tasks. CoRR (2021)
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation. Int. J. Comput. Vis. 128 (10) (2020)
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville
Pix2Shape - Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation. CoRR (2020)
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron C. Courville
Adversarial Computation of Optimal Transport Maps. CoRR (2019)
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville
Mutual Information Neural Estimation. ICML (2018)
Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm, Aaron C. Courville
MINE: Mutual Information Neural Estimation. CoRR (2018)
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. ICML (2018)
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. CoRR (2018)
Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal
Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS (2018)
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville
Hierarchical Adversarially Learned Inference. CoRR (2018)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
A Deep Reinforcement Learning Chatbot (Short Version). CoRR (2018)
Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville
Adversarial Generation of Natural Language. Rep4NLP@ACL (2017)
Sai Rajeswar, Sandeep Subramanian, Francis Dutil, Christopher Joseph Pal, Aaron C. Courville
Adversarial Generation of Natural Language. CoRR (2017)
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks. CoRR (2015)
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
OCR for bilingual documents using language modeling. ICDAR (2015)
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
Text recognition using deep BLSTM networks. ICAPR (2015)
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
A hypothesize-and-verify framework for text recognition using deep recurrent neural networks. ICDAR (2015)
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
Scene Text Analysis using Deep Belief Networks. ICVGIP (2014)