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Yoshua Bengio

Statistical Learning Algorithms Learning Representations For Immersive Video Games Natural Language Processing (NLP) Artificial Vision Deep Learning

About

Understanding intelligence and its implications at all levels to unlock artificial intelligence (AI) is Yoshua Bengio's long-term goal. Scientific Director at IVADO , a full professor in the Department of Computer Science and Operations Research (DIRO) at Université de Montréal, the director of the Montréal Institute for Learning Algorithms (MILA) and Canada Research Chair in Statistical Learning Algorithms , Professor Bengio aims to reveal the mathematical and computational mechanisms from which intelligence emerges. Through their work on learning algorithms, Yoshua Bengio and his team are attempting to provide computers with the capacity to acquire operational knowledge by learning from examples. A machine that has acquired knowledge could then accurately generate predictions, categorize new cases and generalize findings to new situations. Professor Bengio seeks to give impetus to the development of more intelligent machines that understand the world around us, make decisions accordingly and are ultimately of service to society. Research in the field drives a number of scientific and technological sectors, most notably research engines, natural language processing, automatic translation, artificial vision and data mining. Professor Bengio earned a PhD in computer science from McGill University (1991) and is the co-director of the Neural Computation & Adaptive Perception program of the Canadian Institute for Advanced Research. He also holds the NSERC/Ubisoft Industrial Research Chair on Learning Representations for Immersive Video Games and works as the editor of the Journal of Machine Learning Research and the associate editor of Neural Computation and Foundations and Trends in Machine Learning.

Research Performance Summary

1512
Total Papers
1063830
Total Citations
253
H-Index
1986-2026
Active Research Span

First Recorded Paper

Learning to deal with long-term dependencies

Year: 1986

Citations: 3

Venue: Neural Computation 9

Latest Recorded Paper

Causal Inference in Observational Studies Using Counterfactual Estimation with Machine Learning Models

Year: 2026

Citations: 0

Venue: ISCSITR-INTERNATIONAL JOURNAL OF DATA SCIENCE (ISCSITR-IJDS)-ISSN: 3067-7408

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
10
2025
77
2024
74
2023
111
2022
75
2021
70
2020
84
2019
95
2018
119
2017
92
2016
101

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 311
Journal 92
Book 47

Top Coauthors

Bengio Courville

Research Impact by Period

2025-2026

Period Stats
Papers 87
Citations 2079
Avg. Citations / Paper 23.9
H-Index 14

2020-2024

Period Stats
Papers 414
Citations 39121
Avg. Citations / Paper 94.5
H-Index 89

2015-2019

Period Stats
Papers 466
Citations 388345
Avg. Citations / Paper 833.4
H-Index 151

2010-2014

Period Stats
Papers 224
Citations 425599
Avg. Citations / Paper 1900
H-Index 96

2005-2009

Period Stats
Papers 103
Citations 59032
Avg. Citations / Paper 573.1
H-Index 46

2000-2004

Period Stats
Papers 104
Citations 112398
Avg. Citations / Paper 1080.8
H-Index 35

1995-1999

Period Stats
Papers 62
Citations 18468
Avg. Citations / Paper 297.9
H-Index 30

1990-1994

Period Stats
Papers 36
Citations 18615
Avg. Citations / Paper 517.1
H-Index 20

1985-1989

Period Stats
Papers 16
Citations 173
Avg. Citations / Paper 10.8
H-Index 6

Contact and Professional Links

Contact Information

yoshua.bengio@umontreal.ca
5143436804

Detected Research Keywords

Recurrent Neural Networks Neural Machine Translation Generative Adversarial Networks Neural Information Processing Information Processing Systems Learning Architectures Ai Convolutional Neural Networks Generative Flow Networks Semi Supervised Learning Automatic Speech Recognition