Sai Rajeswar Mudumba

WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation. Rabiul Awal, Mahsa Massoud, Zichao Li, Aarash Feizi, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba. At Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.

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BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodriguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piche, Dzmitry Bahdanau, Christopher Pal, David Vazquez, Enamul Hoque Prince , Perouz Taslakian, Sai Rajeswar Mudumba, Spandana Gella. At Conference on Language Modeling (COLM), 2025.

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Silent Sabotage: Injecting Backdoors into AI Agents Through Fine-Tuning. Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Joshua Kazdan, Avinandan Bose, Quentin Cappart, Maryam Fazel, Sai Rajeswar Mudumba, Jason Stanley, Nicolas Chapados, Alexandre Drouin, Krishnamurthy (Dj) Dvijotham. At Workshop at the International Conference of Machine Learning (ICML), 2025.

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UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. Shravan Nayak, Xiangru Jian, Kevin Lin, Juan A. Rodriguez, Motek Kalsi, Nicolas Chapados, Tamer Özsu, Aishwarya Agrawal, David Vazquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba. At International Conference on Machine Learning (ICML), 2025.

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WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation. Rabiul Awal, Mahsa Massoud, Zichao Li, Aarash Feizi, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Siva Reddy, Juan A. Rodriguez, Perouz Taslakian, Sai Rajeswar Mudumba. At Workshop at the Computer Vision and Pattern Recognition Conference (CVPR), 2025.

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StarVector: Generating Scalable Vector Graphics Code from Images and Text. Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar Mudumba, David Vazquez, Christopher Pal, Marco Pedersoli. At Computer Vision and Pattern Recognition (CVPR), 2025.

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AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque Prince , Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba. At Workshop at the International Conference of Learning Representation (ICLR), 2025.

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WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation. Rabiul Awal, Mahsa Massoud, Zichao Li, Aarash Feizi, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Siva Reddy, Juan A. Rodriguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba. At Workshop at the International Conference of Learning Representation (ICLR), 2025.

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BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2025.

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InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Amirhossein Abaskohi, Mohammad (Aaron) Chegini , Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vazquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar Mudumba, Issam H. Laradji. At International Conference of Learning Representations (ICLR), 2025.

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VCR: Visual Caption Restoration. Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar Mudumba, Jie Fu, Bang Liu, Yoshua Bengio. At International Conference of Learning Representations (ICLR), 2025.

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StarVector: Generating Scalable Vector Graphics Code from Images and Text. Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar Mudumba, David Vazquez, Christopher Pal, Marco Pedersoli. At AAAI Demos, 2025.

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BigDocs: A Permissively-Licensed Dataset for Training Vision-Language Models on Document and Code Tasks. Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Amirhossein Abaskohi, Ahmed Masry, Shravan Nayak, Mahsa Massoud, Rabiul Awal, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sean Hughes, Tamer Özsu, Aishwarya Agrawal, Marco Pedersoli, Christopher Pal, Perouz Taslakian, David Vazquez, Issam H. Laradji, Spandana Gella, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Multimodal foundation world models for generalist embodied agents. Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar Mudumba. At Neural Information Processing Systems (NeurIPS), 2024.

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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 Vazquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian. At NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.

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Representing Positional Information in Generative World Models for Object Manipulation. Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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VCR: Visual Caption Restoration. Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar Mudumba, Jie Fu, Bang Liu, Yoshua Bengio. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Representing Positional Information in Generative World Models for Object Manipulation. Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Sai Rajeswar Mudumba. At Learning Effective Abstractions for Planning, 2024.

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Multimodal foundation world models for generalist embodied agents. Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar Mudumba. At Workshop at the International Conference of Machine Learning (ICML), 2024.

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EquiAdapt: Equivariant Adaptation of Large Pretrained Models. Arnab Mondal, Siba Smarak Panigrahi, Siamak Ravanbakhsh, Sai Rajeswar Mudumba. At Workshop at the Computer Vision and Pattern Recognition Conference (CVPR), 2024.

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Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. Arnab Mondal, Siba Smarak Panigrahi, Siamak Ravanbakhsh, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2024.

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StarVector: Generating Scalable Vector Graphics Code from Images and Text. Juan A. Rodriguez, Shubham Agarwal, Abhay Puri, Issam H. Laradji, Sai Rajeswar Mudumba, Pau Rodriguez, David Vazquez, Christopher Pal, Marco Pedersoli. At ArXiv, 2024.

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Capture the Flag: Uncovering Data Insights with Large Language Models. Issam H. Laradji, Perouz Taslakian, Sai Rajeswar Mudumba, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vazquez, Christopher Pal, Alexandre Drouin. At Workshop at the Neural Information Processing Systems (NeurIPS), 2023.

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The Unsolved Challenges of LLMs in Open-Ended Web Tasks: A Case Study. Rim Assouel, Tom Marty, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Sai Rajeswar Mudumba, Hector Palacios, Quentin Cappart, David Vazquez, Nicolas Chapados, Maxime Gasse, Alexandre Lacoste. At Workshop at the Neural Information Processing Systems (NeurIPS), 2023.

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Equivariant Adaptation of Large Pre-Trained Models. Arnab Mondal, Siba Smarak Panigrahi, Sai Rajeswar Mudumba, Siamak Ravanbakhsh. At Conference on Neural Information Processing Systems (NeurIPS), 2023.

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Efficient Dynamics Modeling in Interactive Environments with Koopman Theory. Arnab Mondal, Sai Rajeswar Mudumba, Siamak Ravanbakhsh, Siba Smarak Panigrahi. At European Workshop on Reinforcement Learning (EWRL), 2023.

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Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. Sai Rajeswar Mudumba, Pietro Mazzaglia, Tim Verbelen, Alexandre Piche, Bart Dhoedt, Aaron Courville, Alexandre Lacoste. At International Conference on Machine Learning (ICML), 2023.

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Choreographer: Learning and Adapting Skills in Imagination. Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2023.

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Deep Hyperbolic Reinforcement Learning for Continuous Control. Omar Salemohamed, Edoardo Cetin, Sai Rajeswar Mudumba, Arnab Mondal. At ICLR, Tiny Papers, 2023.

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Haptics-based Curiosity for Sparse-reward Tasks. Sai Rajeswar Mudumba, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville, Pedro O. Pinheiro. At Conference on Robot Learning (CoRL), 2022.

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Choreographer: Learning and Adapting Skills in Imagination . Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

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Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. Sai Rajeswar Mudumba, Issam H. Laradji, Pau Rodriguez, David Vazquez, Aaron Courville. At British Machine Vision Conference (BMVC), 2022.

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Unsupervised Model-based Pre-training for Data-efficient Reinforcement Learning from Pixels. Sai Rajeswar Mudumba, Pietro Mazzaglia, Tim Verbelen, Alexandre Piche, Aaron Courville, Alexandre Lacoste. At Workshop at the International Conference on Machine Learning (ICML), 2022.

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Multi-label Iterated Learning for Image Classification with Label Ambiguity. Sai Rajeswar Mudumba, Pau Rodriguez, Soumye Singhal, David Vazquez, Aaron Courville. At Computer Vision and Pattern Recognition (CVPR), 2022.

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Adversarial Computation of Optimal Transport Maps. Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar Mudumba, Aaron Courville. At ArXiv, 2019.

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Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation. Sai Rajeswar Mudumba, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vazquez, Derek Nowrouzezahrai, Aaron Courville. At International Journal in Computer Vision (IJCV), 2019.

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Towards Text Generation with Adversarially Learned Neural Outlines. Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron Courville, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS), 2018.

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Hierarchical Adversarially Learned Inference. Ishmael Belghazi, Sai Rajeswar Mudumba, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron Courville. At Workshop at the International Conference on Machine Learning (ICML), 2018.

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