Y
Yoshua Bengio
Researcher at Université de Montréal
Publications - 1146
Citations - 534376
Yoshua Bengio is an academic researcher from Université de Montréal. The author has contributed to research in topics: Artificial neural network & Deep learning. The author has an hindex of 202, co-authored 1033 publications receiving 420313 citations. Previous affiliations of Yoshua Bengio include McGill University & Centre de Recherches Mathématiques.
Papers
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Use of multilayer networks for the recognition of phonetic features and phonemes
Yoshua Bengio,R. De Mori +1 more
TL;DR: These experiments are part of an attempt to construct a data‐driven speech recognition system with multiple neural networks specialized to different tasks, such as one trained on the E‐set consonants.
Posted Content
Deep Tempering
TL;DR: In this paper, the authors propose a method of sampling from Boltzmann machines that demonstrates a computationally efficient way to promote mixing in deep generative models such as the Deep Belief Network (DBN).
Proceedings Article
Keep Drawing It: Iterative language-based image generation and editing
Alaaeldin El-Nouby,Shikhar Sharma,Hannes Schulz,R Devon Hjelm,Layla El Asri,Samira Ebrahimi Kahou,Yoshua Bengio,Graham W. Taylor +7 more
TL;DR: The authors proposed a recurrent image generation model that takes into account both the generated output up to the current step as well as all past instructions for generation, which is able to generate the background, add new objects, apply simple transformations to existing objects, and correct previous mistakes.
Unifying Generative Models with GFlowNets and Beyond
TL;DR: In this article, the authors demonstrate the connections between existing deep generative models and the recently introduced GFlowNet framework, a probabilistic inference machine which treats sampling as a decision-making process.