Pal, Christopher

59 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 Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality Ge Ya Luo, Gian Mario Favero, ZhiHao Luo, Alexia Jolicoeur-Martineau, Christopher Pal

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

ICLR 2025 CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling Matthew Fortier, Mats Leon Richter, Oliver Sonnentag, Christopher Pal

TMLR 2025 Ctrl-V: Higher Fidelity Autonomous Vehicle Video Generation with Bounding-Box Controlled Object Motion Ge Ya Luo, ZhiHao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal

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 LLMs Can Learn Self-Restraint Through Iterative Self-Reflection Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal

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

ICLR 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization Ye Yuan, Can Chen, Christopher Pal, Xue Liu

NeurIPS 2025 Rendering-Aware Reinforcement Learning for Vector Graphics Generation Juan A. Rodriguez, Haotian Zhang, Abhay Puri, Rishav Pramanik, Aarash Feizi, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli

CVPR 2025 Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide

JMLR 2025 Score-Based Diffusion Models in Function Space Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar

ICLR 2025 Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal

TMLR 2025 Spaced Scheduling for Large Language Model Training Amine El hattami, Nicolas Chapados, 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

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

ICML 2025 UI-Vision: A Desktop-Centric GUI Benchmark for Visual Perception and Interaction Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodriguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vazquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

ICLRW 2025 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

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

CoRL 2024 CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal

TMLR 2024 Exploring Validation Metrics for Offline Model-Based Optimisation with Diffusion Models Christopher Beckham, Alexandre Piché, David Vazquez, Christopher Pal

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

NeurIPS 2024 Learning Action and Reasoning-Centric Image Editing from Videos and Simulation Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy

NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian

TMLR 2024 Robust Guided Diffusion for Offline Black-Box Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal

ICLRW 2024 Self-Evaluation and Self-Prompting to Improve the Reliability of LLMs Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal

ICLR 2024 Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models Pablo Pernias, Dominic Rampas, Mats Leon Richter, Christopher Pal, Marc Aubreville

TMLR 2023 Bridging the Gap Between Target Networks and Functional Regularization Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan

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

ICMLW 2023 Goal-Conditioned GFlowNets for Controllable Multi-Objective Molecular Design Julien Roy, Pierre-Luc Bacon, Christopher Pal, Emmanuel Bengio

TMLR 2023 Neural Causal Structure Discovery from Interventions Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio

JMLR 2023 Towards Learning to Imitate from a Single Video Demonstration Glen Berseth, Florian Golemo, Christopher Pal

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

ICLRW 2022 A Probabilistic Perspective on Reinforcement Learning via Supervised Learning Alexandre Piché, Rafael Pardinas, David Vazquez, Christopher Pal

TMLR 2022 Does Entity Abstraction Help Generative Transformers Reason? Nicolas Gontier, Siva Reddy, Christopher Pal

NeurIPSW 2022 Implicit Offline Reinforcement Learning via Supervised Learning Alexandre Piché, Rafael Pardinas, David Vazquez, Igor Mordatch, Igor Mordatch, Christopher Pal

CoLLAs 2022 Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy, Christopher Pal, Goncalo Mordido, Sarath Chandar

ICLR 2022 Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal

CoRL 2022 Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue Liu, Jie Fu

ICLR 2022 Learning to Guide and to Be Guided in the Architect-Builder Problem Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher Pal, Pierre-Yves Oudeyer

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

NeurIPSW 2022 Score-Based Denoising Diffusion with Non-Isotropic Gaussian Noise Models Vikram Voleti, Christopher Pal, Adam M Oberman

NeurIPSW 2021 Beyond Target Networks: Improving Deep $q$-Learning with Functional Regularization Alexandre Piché, Joseph Marino, Gian Maria Marconi, Valentin Thomas, Christopher Pal, Mohammad Emtiyaz Khan

ICLR 2021 Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault, Amine El hattami, Christopher Pal

ICMLW 2021 Improving Continuous Normalizing Flows Using a Multi-Resolution Framework Vikram Voleti, Chris Finlay, Adam M Oberman, Christopher Pal

ICLR 2021 Predicting Infectiousness for Proactive Contact Tracing Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaetan Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz Gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams

ICLR 2021 Reinforcement Learning with Random Delays Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher Pal, Jonathan Binas

ICLR 2020 A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher Pal

ICML 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim, Aaron Courville, Christopher Pal, Chin-Wei Huang

CoRL 2020 Action-Based Representation Learning for Autonomous Driving Yi Xiao, Felipe Codevilla, Christopher Pal, Antonio Lopez

ICMLW 2020 Towards an Unsupervised Method for Model Selection in Few-Shot Learning Simon Guiroy, Vikas Verma, Christopher Pal

ICLRW 2019 Adversarial Mixup Resynthesizers Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R Devon Hjelm, Christopher Pal

ICML 2018 Focused Hierarchical RNNs for Conditional Sequence Processing Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal

CVPR 2017 A Dataset and Exploration of Models for Understanding Video Data Through Fill-in-the-Blank Question-Answering Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron Courville, Christopher Pal

ICML 2017 Unimodal Probability Distributions for Deep Ordinal Classification Christopher Beckham, Christopher Pal

CVPR 2016 Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation Sina Honari, Jason Yosinski, Pascal Vincent, Christopher Pal

ICCV 2015 Describing Videos by Exploiting Temporal Structure Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron Courville