Sai Rajeswar

According to our database, Sai Rajeswar authored at least 49 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, November, 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, Soham Parikh, Oluwanifemi Bamgbose, Toby Liang, Ahmed Masry, Khyati Mahajan, Sai Rajeswar Mudumba, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sagar Davasam, Srinivas Sunkara, Nicolas Chapados

CoRR, October, 2025

Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval.

Nima Sheikholeslami, Erfan Hosseini, Patrice Bechard, Srivatsava Daruru, Sai Rajeswar

CoRR, October, 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, September, 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, Siva Reddy, Juan A. Rodríguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, August, 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, Oleksiy Ostapenko, Shiva Krishna Reddy Malay, Aman Tiwari, Tara Bogavelli, Vikas Yadav, Jash Mehta, Saloni Mittal, Akshay Kalkunte, Pulkit Pattnaik, Khalil Slimi, Anirudh Sreeram, Jishnu Sethumadhavan Nair, Akintunde Oladipo, Shashank Maiya, Khyati Mahajan, Rishabh Maheshwary, Masoud Hashemi, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sébastien Paquet, Sagar Davasam, Srinivas Sunkara

CoRR, August, 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, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella

CoRR, August, 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, August, 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, David Vázquez, Christopher Pal, Marco Pedersoli

CoRR, May, 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, May, 2025

StarFlow: Generating Structured Workflow Outputs From Sketch Images.

Patrice Bechard, Chao Wang, Amirhossein Abaskohi, Juan A. Rodríguez, Christopher Pal, David Vázquez, Spandana Gella, Sai Rajeswar, Perouz Taslakian

CoRR, March, 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, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, March, 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

CoRR, February, 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, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, February, 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, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Christopher Pal, Marco Pedersoli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

StarVector: Generating Scalable Vector Graphics Code from Images and Text.

Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar

CoRR, 2024

Representing Positional Information in Generative World Models for Object Manipulation.

Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, 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, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji

CoRR, 2024

Multimodal foundation world models for generalist embodied agents.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar

CoRR, 2024

VCR: Visual Caption Restoration.

Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

CoRR, 2024

GenRL: Multimodal-foundation world models for generalization in embodied agents.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar Mudumba

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.

João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Dynamics Modeling in Interactive Environments with Koopman Theory.

Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, Christopher Pal, Alexandre Drouin

CoRR, 2023

Equivariant Adaptation of Large Pretrained Models.

Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh

CoRR, 2023

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels.

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste

Proceedings of the International Conference on Machine Learning, 2023

Hyperbolic Deep Reinforcement Learning for Continuous Control.

Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Choreographer: Learning and Adapting Skills in Imagination.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Multi-label Iterated Learning for Image Classification with Label Ambiguity.

Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation.

Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Touch-based Curiosity for Sparse-Reward Tasks.

Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro

CoRR, 2021

Haptics-based Curiosity for Sparse-reward Tasks.

Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

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, Aaron C. Courville

Int. J. Comput. Vis., 2020

2019

Adversarial Computation of Optimal Transport Maps.

Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron C. Courville

CoRR, 2019

2018

Hierarchical Adversarially Learned Inference.

Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, 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, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio

CoRR, 2018

MINE: Mutual Information Neural Estimation.

Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm, Aaron C. Courville

CoRR, 2018

Towards Text Generation with Adversarially Learned Neural Outlines.

Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mutual Information Neural Estimation.

Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville

Proceedings of the 35th International Conference on Machine Learning, 2018

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

Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Adversarial Generation of Natural Language.

Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2015

OCR for bilingual documents using language modeling.

Anupama Ray, Sai Rajeswar, Santanu Chaudhury

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

A hypothesize-and-verify framework for text recognition using deep recurrent neural networks.

Anupama Ray, Sai Rajeswar, Santanu Chaudhury

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Text recognition using deep BLSTM networks.

Anupama Ray, Sai Rajeswar, Santanu Chaudhury

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014

Scene Text Analysis using Deep Belief Networks.

Anupama Ray, Sai Rajeswar, Santanu Chaudhury

Proceedings of the 2014 Indian Conference on Computer Vision, 2014