Soham De
About
Soham De has authored 19 papers that have received a total of 230 indexed citations.
This includes 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. The topics of these papers are Adversarial Robustness in Machine Learning (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Advanced Neural Network Applications (6 papers). Soham De is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Advanced Neural Network Applications (6 papers) and collaborates with scholars based in United States, India and United Kingdom. Soham De's co-authors include Tom Goldstein, Samuel Smith, Sven Gowal, Pushmeet Kohli and Robert Stanforth and has published in prestigious journals such as Langmuir and Scientific Reports.
In The Last Decade
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