Scene Text Analysis using Deep Belief Networks. - Anupama Ray; Sai Rajeswar; Santanu Chaudhury (ICVGIP, 2014)

Text recognition using deep BLSTM networks. - Anupama Ray; Sai Rajeswar; Santanu Chaudhury (ICAPR, 2015)

A hypothesize-and-verify framework for text recognition using deep recurrent neural networks. - Anupama Ray; Sai Rajeswar; Santanu Chaudhury (ICDAR, 2015)

OCR for bilingual documents using language modeling. - Anupama Ray; Sai Rajeswar; Santanu Chaudhury (ICDAR, 2015)

Adversarial Generation of Natural Language. - Sandeep Subramanian; Sai Rajeswar; Francis Dutil; Chris Pal; Aaron C. Courville (Rep4NLP@ACL, 2017)

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. - Amjad Almahairi; Sai Rajeswar; Alessandro Sordoni; Philip Bachman; Aaron C. Courville (ICML, 2018)

Mutual Information Neural Estimation. - Mohamed Ishmael Belghazi; Aristide Baratin; Sai Rajeswar; Sherjil Ozair; Yoshua Bengio; R. Devon Hjelm; Aaron C. Courville (ICML, 2018)

Towards Text Generation with Adversarially Learned Neural Outlines. - Sandeep Subramanian; Sai Rajeswar; Alessandro Sordoni; Adam Trischler; Aaron C. Courville; Chris Pal (NeurIPS, 2018)

MINE: Mutual Information Neural Estimation. - Ishmael Belghazi; Sai Rajeswar; Aristide Baratin; R. Devon Hjelm; Aaron C. Courville (CoRR, 2018)

A Deep Reinforcement Learning Chatbot (Short Version). - 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; et al. (CoRR, 2018)

Hierarchical Adversarially Learned Inference. - Mohamed Ishmael Belghazi; Sai Rajeswar; Olivier Mastropietro; Negar Rostamzadeh; Jovana Mitrovic; Aaron C. Courville (CoRR, 2018)

Adversarial Computation of Optimal Transport Maps. - Jacob Leygonie; Jennifer She; Amjad Almahairi; Sai Rajeswar; Aaron C. Courville (CoRR, 2019)

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 001; Derek Nowrouzezahrai; Aaron C. Courville (Int. J. Comput. Vis., 2020)

Haptics-based Curiosity for Sparse-reward Tasks. - Sai Rajeswar; Cyril Ibrahim; Nitin Surya; Florian Golemo; David Vázquez 001; Aaron C. Courville; Pedro O. Pinheiro (CoRL, 2021)

Touch-based Curiosity for Sparse-Reward Tasks. - Sai Rajeswar; Cyril Ibrahim; Nitin Surya; Florian Golemo; David Vázquez 001; Aaron C. Courville; Pedro O. Pinheiro (CoRR, 2021)

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. - Sai Rajeswar; Issam Hadj Laradji; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (BMVC, 2022)

Multi-label Iterated Learning for Image Classification with Label Ambiguity. - Sai Rajeswar; Pau Rodríguez; Soumye Singhal; David Vázquez 001; Aaron C. Courville (CVPR, 2022)

Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. - Sai Rajeswar; Pietro Mazzaglia; Tim Verbelen; Alexandre Piché; Bart Dhoedt; Aaron C. Courville; Alexandre Lacoste (CoRR, 2022)

Choreographer: Learning and Adapting Skills in Imagination. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Alexandre Lacoste; Sai Rajeswar (ICLR, 2023)

Hyperbolic Deep Reinforcement Learning for Continuous Control. - Omar Salemohamed; Edoardo Cetin; Sai Rajeswar; Arnab Kumar Mondal (Tiny Papers @ ICLR, 2023)

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. - Sai Rajeswar; Pietro Mazzaglia; Tim Verbelen; Alexandre Piché; Bart Dhoedt; Aaron C. Courville; Alexandre Lacoste (ICML, 2023)

Equivariant Adaptation of Large Pretrained Models. - Arnab Kumar Mondal; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Sai Rajeswar; Siamak Ravanbakhsh (CoRR, 2023)

Capture the Flag: Uncovering Data Insights with Large Language Models. - Issam H. Laradji; Perouz Taslakian; Sai Rajeswar; Valentina Zantedeschi; Alexandre Lacoste; Nicolas Chapados; David Vázquez 001; Christopher Pal; Alexandre Drouin (CoRR, 2023)

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. - Arnab Kumar Mondal; Siba Smarak Panigrahi; Sai Rajeswar; Kaleem Siddiqi; Siamak Ravanbakhsh (ICLR, 2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. - João Monteiro 002; Pierre-André Noël; Étienne Marcotte; Sai Rajeswar Mudumba; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Chris Pal; Perouz Taslakian (NeurIPS, 2024)

GenRL: Multimodal-foundation world models for generalization in embodied agents. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Aaron C. Courville; Sai Rajeswar Mudumba (NeurIPS, 2024)

VCR: Visual Caption Restoration. - Tianyu Zhang; Suyuchen Wang; Lu Li; Ge Zhang 009; Perouz Taslakian; Sai Rajeswar; Jie Fu 001; Bang Liu; Yoshua Bengio (CoRR, 2024)

Multimodal foundation world models for generalist embodied agents. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Aaron C. Courville; Sai Rajeswar (CoRR, 2024)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; Sai Rajeswar; Issam Hadj Laradji (CoRR, 2024)

Representing Positional Information in Generative World Models for Object Manipulation. - Stefano Ferraro; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Sai Rajeswar (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (CoRR, 2024)

StarVector: Generating Scalable Vector Graphics Code from Images and Text. - Juan A. Rodríguez; Abhay Puri; Shubham Agarwal; Issam H. Laradji; Sai Rajeswar; David Vázquez 001; Christopher Pal; Marco Pedersoli (AAAI, 2025)

StarVector: Generating Scalable Vector Graphics Code from Images and Text. - Juan A. Rodríguez; Abhay Puri; Shubham Agarwal; Issam H. Laradji; Pau Rodríguez; Sai Rajeswar; David Vázquez 001; Christopher Pal; Marco Pedersoli (CVPR, 2025)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Amirhossein Abaskohi; Mohammad Chegini; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; et al. (ICLR, 2025)

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text. - Tianyu Zhang; Suyuchen Wang; Lu Li; Ge Zhang 009; Perouz Taslakian; Sai Rajeswar; Jie Fu 001; Bang Liu; Yoshua Bengio (ICLR, 2025)

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. - Ahmed Masry; Juan A. Rodríguez; Tianyu Zhang; Suyuchen Wang; Chao Wang; Aarash Feizi; Akshay Kalkunte Suresh; Abhay Puri; Xiangru Jian; Pierre-André Noël; Sathwik Tejaswi Madhusudhan; Marco Pedersoli; et al. (CoRR, 2025)

PairBench: A Systematic Framework for Selecting Reliable Judge VLMs. - Aarash Feizi; Sai Rajeswar; Adriana Romero-Soriano; Reihaneh Rabbany; Spandana Gella; Valentina Zantedeschi; João Monteiro 002 (CoRR, 2025)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. - Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Juan A. Rodríguez; Montek Kalsi; Rabiul Awal; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vázquez 001; Christopher Pal; Perouz Taslakian; et al. (CoRR, 2025)

StarFlow: Generating Structured Workflow Outputs From Sketch Images. - Patrice Bechard; Chao Wang; Amirhossein Abaskohi; Juan A. Rodríguez; Christopher Pal; David Vázquez 001; Spandana Gella; Sai Rajeswar; Perouz Taslakian (CoRR, 2025)

Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA. - Rishabh Maheshwary; Masoud Hashemi; Khyati Mahajan; Shiva Krishna Reddy Malay; Sai Rajeswar; Sathwik Tejaswi Madhusudhan; Spandana Gella; Vikas Yadav (CoRR, 2025)

Rendering-Aware Reinforcement Learning for Vector Graphics Generation. - Juan A. Rodríguez; Haotian Zhang; Abhay Puri; Aarash Feizi; Rishav Pramanik; Pascal Wichmann; Arnab Kumar Mondal; Mohammad Reza Samsami; Rabiul Awal; Perouz Taslakian; Spandana Gella; Sai Rajeswar; et al. (CoRR, 2025)

The Promise of RL for Autoregressive Image Editing. - Saba Ahmadi; Rabiul Awal; Ankur Sikarwar; Amirhossein Kazemnejad; Ge Ya Luo; Juan A. Rodríguez; Sai Rajeswar; Siva Reddy; Christopher Pal; Benno Krojer; Aishwarya Agrawal (CoRR, 2025)

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. - Ahmed Masry; Abhay Puri; Masoud Hashemi; Juan A. Rodríguez; Megh Thakkar; Khyati Mahajan; Vikas Yadav; Sathwik Tejaswi Madhusudhan; Alexandre Piché; Dzmitry Bahdanau; Christopher Pal; David Vázquez 001; et al. (CoRR, 2025)

Apriel-Nemotron-15B-Thinker. - Shruthan Radhakrishna; Soham Parikh; Gopal Sarda; Anil Turkkan; Quaizar Vohra; Raymond Li; Dhruv Jhamb; Kelechi Ogueji; Aanjaneya Shukla; Oluwanifemi Bamgbose; Toby Liang; Luke Kumar; et al. (CoRR, 2025)

WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation. - Rabiul Awal; Mahsa Massoud; Aarash Feizi; Zichao Li; Suyuchen Wang; Christopher Pal; Aishwarya Agrawal; David Vázquez 001; Siva Reddy; Juan A. Rodríguez; Perouz Taslakian; Spandana Gella; et al. (CoRR, 2025)

AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs. - Sidharth Surapaneni; Hoang Nguyen; Jash Mehta; Aman Tiwari; Oluwanifemi Bamgbose; Akshay Kalkunte; Sai Rajeswar; Sathwik Tejaswi Madhusudhan (CoRR, 2025)

Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval. - Nima Sheikholeslami; Erfan Hosseini; Patrice Bechard; Srivatsava Daruru; Sai Rajeswar (CoRR, 2025)

Apriel-1.5-15b-Thinker. - Shruthan Radhakrishna; Aman Tiwari; Aanjaneya Shukla; Masoud Hashemi; Rishabh Maheshwary; Shiva Krishna Reddy Malay; Jash Mehta; Pulkit Pattnaik; Saloni Mittal; Khalil Slimi; Kelechi Ogueji; Akintunde Oladipo; et al. (CoRR, 2025)

ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval. - Ahmed Masry; Megh Thakkar; Patrice Bechard; Sathwik Tejaswi Madhusudhan; Rabiul Awal; Shambhavi Mishra; Akshay Kalkunte Suresh; Srivatsava Daruru; Enamul Hoque; Spandana Gella; Torsten Scholak; Sai Rajeswar (CoRR, 2025)