Emmanuel Bengio

4 papers and 388 indexed citations i.

Emmanuel Bengio is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Emmanuel Bengio has authored 4 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Emmanuel Bengio’s work include Stochastic Gradient Optimization Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Advanced Graph Neural Networks (1 paper). Emmanuel Bengio is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Advanced Graph Neural Networks (1 paper). Emmanuel Bengio collaborates with scholars based in Canada, United States and Germany. Emmanuel Bengio's co-authors include Asja Fischer, Aaron Courville, Devansh Arpit, Tegan Maharaj, Stanisław Jastrzȩbski, Maxinder S Kanwal, David Krueger, Nicolas Ballas, Yoshua Bengio and Simon Lacoste-Julien and has published in prestigious journals such as Physical Review X, International Conference on Machine Learning and International Conference on Learning Representations.