Laradji, Issam H.

28 publications

NeurIPS 2025 AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

ICLRW 2025 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 Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

ICLR 2025 BigDocs: An Open 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 Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

AISTATS 2025 Fast Convergence of SoftMax Policy Mirror Ascent Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani

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

TMLR 2025 LitLLMs, LLMs for Literature Review: Are We There yet? Shubham Agarwal, Gaurav Sahu, Abhay Puri, Issam H. Laradji, Krishnamurthy Dj Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal

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

NeurIPSW 2024 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 Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Kurt MacDonald, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

NeurIPSW 2024 BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks Amrutha Varshini Ramesh, Vignesh Ganapathiraman, Issam H. Laradji, Mark Schmidt

NeurIPSW 2024 Fast Convergence of SoftMax Policy Mirror Ascent for Bandits & Tabular MDPs Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani

ICLRW 2024 IntentGPT: Few-Shot Intent Discovery with Large Language Models Juan A. Rodriguez, Nicholas Botzer, David Vazquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji

ICML 2024 WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vazquez, Nicolas Chapados, Alexandre Lacoste

ICLRW 2024 WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, Alexandre Lacoste

NeurIPSW 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 Vazquez, Christopher Pal, Alexandre Drouin

ICLR 2023 Constraining Representations Yields Models That Know What They Don't Know Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

TMLR 2023 Explaining Visual Counterfactual Explainers Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez

TMLR 2023 Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas

NeurIPSW 2023 Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani

NeurIPSW 2023 The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study Rim Assouel, Tom Marty, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Sai Rajeswar, Hector Palacios, Quentin Cappart, David Vazquez, Nicolas Chapados, Maxime Gasse, Alexandre Lacoste

TMLR 2023 Workflow Discovery from Dialogues in the Low Data Regime Amine El hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal

NeurIPSW 2022 Constraining Low-Level Representations to Define Effective Confidence Scores Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

CoLLAs 2022 Overcoming Challenges in Leveraging GANs for Few-Shot Data Augmentation Christopher Beckham, Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal

ICCVW 2021 SSR: Semi-Supervised Soft Rasterizer for Single-View 2D to 3D Reconstruction Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai

ICCVW 2019 Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation Lironne Kurzman, David Vázquez, Issam H. Laradji

ECML-PKDD 2018 MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds Reza Babanezhad, Issam H. Laradji, Alireza Shafaei, Mark Schmidt

ECCV 2018 Where Are the Blobs: Counting by Localization with Point Supervision Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt

UAI 2016 Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani