Sai Rajeswar

63 papers A* 13A 4Misc 1Journal 39Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents.
CoRR
Xiangru Jian, Shravan Nayak, Kevin Qinghong Lin, Aarash Feizi, Kaixin Li, Patrice Bechard, Spandana Gella, Sai Rajeswar
2026 J jnl
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings.
CoRR
Shiva Krishna Reddy Malay, Shravan Nayak, Jishnu Sethumadhavan Nair, Sagar Davasam, Aman Tiwari, Sathwik Tejaswi Madhusudhan, Sridhar Krishna Nemala, Srinivas Sunkara, Sai Rajeswar
2026 — conf
StarFlow: Generating Structured Workflow Outputs From Sketch Images.
EACL (Volume 1: Long Papers)
Patrice Bechard, Chao Wang, Amirhossein Abaskohi, Juan A. Rodríguez, Christopher Pal, David Vázquez, Spandana Gella, Sai Rajeswar, Perouz Taslakian
2026 J jnl
VectorGym: A Multitask Benchmark for SVG Code Generation, Sketching, and Editing.
CoRR
Juan A. Rodríguez, Haotian Zhang, Abhay Puri, Tianyang Zhang, Rishav Pramanik, Meng Lin, Xiaoqing Xie, Marco Terral, Darsh Kaushik, Aly Shariff, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025 J jnl
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs.
CoRR
Sidharth Surapaneni, Hoang Nguyen, Jash Mehta, Aman Tiwari, Oluwanifemi Bamgbose, Akshay Kalkunte, Sai Rajeswar, Sathwik Tejaswi Madhusudhan
2025 J jnl
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding.
CoRR
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
2025 J jnl
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA.
CoRR
Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Spandana Gella, Vikas Yadav
2025 J jnl
BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning.
CoRR
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
2025 — conf
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval.
EMNLP (Industry Track)
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
2025 J jnl
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval.
CoRR
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
2025 J jnl
Grammar Search for Multi-Agent Systems.
CoRR
Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, Shravan Nayak, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Eduardo Blanco
2025 J jnl
Grounding Computer Use Agents on Human Demonstrations.
CoRR
Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar
2025 A* conf
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation.
ICLR
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
2025 J jnl
Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval.
CoRR
Nima Sheikholeslami, Erfan Hosseini, Patrice Bechard, Srivatsava Daruru, Sai Rajeswar
2025 J jnl
PairBench: A Systematic Framework for Selecting Reliable Judge VLMs.
CoRR
Aarash Feizi, Sai Rajeswar, Adriana Romero-Soriano, Reihaneh Rabbany, Spandana Gella, Valentina Zantedeschi, João Monteiro
2025 J jnl
Rendering-Aware Reinforcement Learning for Vector Graphics Generation.
CoRR
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
2025 A conf
Representing Positional Information in Generative World Models for Object Manipulation.
ECAI
Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar
2025 J jnl
StarFlow: Generating Structured Workflow Outputs From Sketch Images.
CoRR
Patrice Bechard, Chao Wang, Amirhossein Abaskohi, Juan A. Rodríguez, Christopher Pal, David Vázquez, Spandana Gella, Sai Rajeswar, Perouz Taslakian
2025 A* conf
StarVector: Generating Scalable Vector Graphics Code from Images and Text.
AAAI
Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025 A* conf
StarVector: Generating Scalable Vector Graphics Code from Images and Text.
CVPR
Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025 J jnl
The Promise of RL for Autoregressive Image Editing.
CoRR
Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan A. Rodríguez, Sai Rajeswar, Siva Reddy, Christopher Pal, Benno Krojer, Aishwarya Agrawal
2025 A* conf
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.
ICML
Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar
2025 J jnl
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.
CoRR
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
2025 A* conf
VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text.
ICLR
Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio
2025 A* conf
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation.
EMNLP
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
2025 J jnl
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation.
CoRR
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
2024 J jnl
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks.
CoRR
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
2024 A* conf
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory.
ICLR
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
2024 J jnl
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation.
CoRR
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
2024 J jnl
Multimodal foundation world models for generalist embodied agents.
CoRR
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar
2024 J jnl
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.
CoRR
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024 J jnl
Representing Positional Information in Generative World Models for Object Manipulation.
CoRR
Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar
2024 J jnl
VCR: Visual Caption Restoration.
CoRR
Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio
2023 J jnl
Capture the Flag: Uncovering Data Insights with Large Language Models.
CoRR
Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
2023 A* conf
Choreographer: Learning and Adapting Skills in Imagination.
ICLR
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
2023 J jnl
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory.
CoRR
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
2023 J jnl
Equivariant Adaptation of Large Pretrained Models.
CoRR
Arnab Kumar Mondal, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Sai Rajeswar, Siamak Ravanbakhsh
2023 — conf
Hyperbolic Deep Reinforcement Learning for Continuous Control.
Tiny Papers @ ICLR
Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal
2023 A* conf
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels.
ICML
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2022 J jnl
Choreographer: Learning and Adapting Skills in Imagination.
CoRR
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
2022 A conf
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation.
BMVC
Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville
2022 A* conf
Multi-label Iterated Learning for Image Classification with Label Ambiguity.
CVPR
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
2022 J jnl
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels.
CoRR
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2021 Misc conf
Haptics-based Curiosity for Sparse-reward Tasks.
CoRL
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro
2021 J jnl
Multi-label Iterated Learning for Image Classification with Label Ambiguity.
CoRR
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
2021 J jnl
Touch-based Curiosity for Sparse-Reward Tasks.
CoRR
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro
2020 J jnl
Pix2Shape - Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation.
CoRR
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville
2020 J jnl
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation.
Int. J. Comput. Vis.
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville
2019 J jnl
Adversarial Computation of Optimal Transport Maps.
CoRR
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron C. Courville
2018 J jnl
A Deep Reinforcement Learning Chatbot (Short Version).
CoRR
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
2018 A* conf
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
ICML
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
2018 J jnl
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
CoRR
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
2018 J jnl
Hierarchical Adversarially Learned Inference.
CoRR
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville
2018 J jnl
MINE: Mutual Information Neural Estimation.
CoRR
Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm, Aaron C. Courville
2018 A* conf
Mutual Information Neural Estimation.
ICML
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville
2018 A* conf
Towards Text Generation with Adversarially Learned Neural Outlines.
NeurIPS
Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal
2017 — conf
Adversarial Generation of Natural Language.
Rep4NLP@ACL
Sandeep Subramanian, Sai Rajeswar, Francis Dutil, Chris Pal, Aaron C. Courville
2017 J jnl
Adversarial Generation of Natural Language.
CoRR
Sai Rajeswar, Sandeep Subramanian, Francis Dutil, Christopher Joseph Pal, Aaron C. Courville
2015 J jnl
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks.
CoRR
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
2015 A conf
A hypothesize-and-verify framework for text recognition using deep recurrent neural networks.
ICDAR
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
2015 A conf
OCR for bilingual documents using language modeling.
ICDAR
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
2015 — conf
Text recognition using deep BLSTM networks.
ICAPR
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
2014 — conf
Scene Text Analysis using Deep Belief Networks.
ICVGIP
Anupama Ray, Sai Rajeswar, Santanu Chaudhury