Machine Learning, Language Processing and Acquisition, Models of Cognitive and Neural Representations
II-404, IIT Delhi, Haus Khas, New Delhi 110016, India
Phone: +91 11 2659 6159 (O), +91 11 2659 7719 (R)
- Aditi Jha and Sumeet Agarwal. Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? In Proceedings of the 3rd Conference on Cognitive Computational Neuroscience (CCN), Berlin, Germany, September 2019.
- Sidharth Ranjan, Sumeet Agarwal, and Rajakrishnan Rajkumar. Surprisal and Interference Effects of Case Markers in Hindi Word Order. In Proceedings of the Cognitive Modeling and Computational Linguistics workshop (CMCL), NAACL, Minneapolis, Minnesota, USA, June 2019.
- Arpit Agrawal, Sumeet Agarwal, and Samar Husain. Role of expectation and working memory constraints in Hindi comprehension: An eyetracking corpus analysis. Journal of Eye Movement Research 10(2):4 (2017).
Sumeet Agarwal has a B.Tech. in Computer Science and Engineering from IIT Kanpur and a D.Phil. in Systems Biology from Oxford. He has worked for a year at IBM Research India, and since 2012 has been an Assistant Professor in the Department of Electrical Engineering at IIT Delhi, where he is also associated with the School of Information Technology and the Cognitive Science programme in the Department of Humanities and Social Sciences. His interests are in the application of machine learning techniques for the scientific modelling of complex systems, in particular biological, cognitive, and social systems. Some of his specific topics of inquiry include computational models of sentence production and comprehension, especially for Hindi-Urdu; neural network / deep learning models of cognitive representations, linguistic and visual; social network models for influences on opinions and behaviours relating to public health; and the theory of learning and learnability.