About
Shubham is a Ph.D. candidate in the Department of Computer Science and Automation at the Indian Institute of Science Bangalore. His primary research interests are in the field of multi-agent reinforcement learning. In the past, he has also worked on a statistical analysis of dynamic networks, active learning for natural language processing, and one-shot learning in the visual domain. He is a recipient of the Wipro Ph.D. Fellowship (2018-2021).
Employment
Employment history is unavailable.
Education
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Indian Institute of Science PhD2016 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (3)
- ChemQuery: A Natural Language Query‐Driven Service for Comprehensive Exploration of Chemistry Patent Literature Save
- Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates Save
- Species complex delimitations in the genus Hedychium: A machine learning approach for cluster discovery Save