Yoshua Bengio

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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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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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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EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. Diego Velazquez, Pau Rodriguez, Sergio Alonso, Josep M. Gonfaus, Jordi Gonzalez, Gerardo Richarte, Javier Marin, Yoshua Bengio, Alexandre Lacoste. At Workshop at the Winter Conference on Applications of Computer Vision (WACV), 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 Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation. Chris Chinenye Emezue, Alexandre Drouin, Tristan Deleu, Stefan Bauer , Yoshua Bengio. At Workshop on Structured Probabilistic Inference & Generative Modeling (ICML), 2023.

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OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua Bengio. At Workshop at the International Conference on Machine Learning (ICML), 2023.

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Neural Attentive CIrcuits. Martin Weiss, Yoshua Bengio, Nassim, Bernhard Schölkopf, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS), 2022.

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Object-centric Compositional Imagination for Visual Abstract Reasoning. Rim Assouel, Perouz Taslakian, David Vazquez, Pau Rodriguez, Yoshua Bengio. At Workshop at the International Conference on Learning Representations (ICLR), 2022.

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VIM: Variational Independent Modules for Video Prediction. Rim Assouel, Lluis Castrejon, Aaron Courville, Nicolas Ballas, Yoshua Bengio. At Causal Learning and Reasoning (CLeaR), 2022.

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Tackling Climate Change with Machine Learning. David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio, Evan D. Sherwin. At ACM Computing Surveys, 2022.

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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Danilo Rezende, Yoshua Bengio, Christopher Pal, Stefan Bauer , Michael C. Mozer. At Conference on Neural Information Processing Systems (NeurIPS), 2021.

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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer . At Workshop at the International Conference on Machine Learning (ICML), 2021.

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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. At International Conference on Learning Representations (ICLR), 2021.

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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher Pal. At International Conference on Learning Representations (ICLR), 2020.

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N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio. At International Conference on Learning Representations (ICLR), 2020.

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The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. Anirudh Goyal, Yoshua Bengio, Matthew Botvinick, Sergey Levine. At International Conference on Learning Representations (ICLR), 2020.

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HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio. At ArXiv, 2020.

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CLOSURE: Assessing Systematic Generalization of CLEVR models. Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Philippe Beaudoin, Yoshua Bengio, Aaron Courville, Shikhar Murty. At Workshop at the Neural Information Processing Systems (NeurIPS), 2019.

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On Adversarial Mixup Resynthesis. Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

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Tackling Climate Change with Machine Learning. David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio, Evan D. Sherwin. At Workshop at the Neural Information Processing Systems (NeurIPS), 2019.

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Adversarial Mixup Resynthesizers. Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Christopher Pal. At Workshop at the International Conference on Learning Representations (ICLR), 2019.

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BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio. At International Conference on Learning Representations (ICLR), 2019.

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Meta-Learning Framework with Applications to Zero-Shot Time Series Forecasting. Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio. At International Conference on Learning Representations (ICLR), 2019.

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Probabilistic Planning with Sequential Monte Carlo Methods. Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Christopher Pal. At International Conference on Learning Representations (ICLR), 2019.

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Quaternion Recurrent Neural Networks. Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio. At International Conference on Learning Representations (ICLR), 2019.

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Towards Standardization of Data Licenses: The Montreal Data License. Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Christopher Pal, Yoshua Bengio, Alex Shee. At Workshop at the International Conference on Learning Representations (ICLR), 2019.

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Bayesian Model-Agnostic Meta-Learning. Taesup Kim, Jaesik Yoon, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn. At Conference on Neural Information Processing Systems (NeurIPS), 2018.

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Reinforced Imitation in Heterogeneous Action Space. Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro. At Workshop at the Neural Information Processing Systems (NeurIPS), 2018.

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Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Christopher Pal, Yoshua Bengio, Michael C. Mozer. At Conference on Neural Information Processing Systems (NeurIPS), 2018.

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Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linarès, Renato De Mori, Yoshua Bengio. At Interspeech Conference, 2018.

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Bayesian Model-Agnostic Meta-Learning. Taesup Kim, Jaesik Yoon, Ousmane Amadou Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn. At Montreal AI Symposium (MAIS), 2018.

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Deep Complex Networks. Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher Pal. At International Conference on Learning Representations (ICLR), 2018.

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Disentangling the independently controllable factors of variation by interacting with the world. Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio. At Workshop at the Neural Information Processing Systems (NeurIPS), 2017.

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Independently Controllable Factors. Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio. At ArXiv, 2017.

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