Maxinder S Kanwal

3 papers and 383 indexed citations i.

Maxinder S Kanwal is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Maxinder S Kanwal has authored 3 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Cognitive Neuroscience. Recurrent topics in Maxinder S Kanwal’s work include Stochastic Gradient Optimization Techniques (2 papers), Advanced Graph Neural Networks (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Maxinder S Kanwal is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Advanced Graph Neural Networks (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Maxinder S Kanwal collaborates with scholars based in United States, Germany and Canada. Maxinder S Kanwal's co-authors include Stanisław Jastrzȩbski, Asja Fischer, Aaron Courville, Devansh Arpit, Emmanuel Bengio, Tegan Maharaj, David Krueger, Nicolas Ballas, Yoshua Bengio and Simon Lacoste-Julien and has published in prestigious journals such as Entropy, International Conference on Machine Learning and International Conference on Learning Representations.