Devansh Arpit
About
Devansh Arpit has authored 12 papers that have received a total of 478 indexed citations.
This includes 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. The topics of these papers are Stochastic Gradient Optimization Techniques (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Model Reduction and Neural Networks (4 papers). Devansh Arpit is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Model Reduction and Neural Networks (4 papers) and collaborates with scholars based in Canada, United States and Poland. Devansh Arpit's co-authors include Yoshua Bengio, Stanisław Jastrzȩbski, Aaron Courville, Nicolas Ballas and Asja Fischer and has published in prestigious journals such as and .
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