Sotabase

Career

· Staff Research Engineer, Google DeepMind2019–
· SWE Intern, Facebook2018–2018
· Master of Science - MS, Computer Science, 4.12/4.00, Stanford University2017–2019
· Research Intern, ETH Zurich2016–2016
· Machine Learning Intern, Silverleaf Capital Services2015–2015
· Software Engineer Intern, Indus OS2014–2014
· Bachelor of Technology - BTech, Computer Science, 9.61, Indian Institute of Technology, Bombay2013–2017
· Bachelor of Technology - BTech (Honours), Computer Science, 9.61, Indian Institute of Technology, Bombay2013–2017

Publications (38)

International Conference on Computer Aided Verification · 2019
569
cited
International Conference on Learning Representations · 2021
289
cited
Bootstrapped Representation Learning on Graphs
arXiv.org · 2021
284
cited
Adversarial Examples for Natural Language Classification Problems
2018
112
cited
BYOL-Explore: Exploration by Bootstrapped Prediction
2022
89
cited
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
2020
69
cited
International Conference on Machine Learning · 2022
43
cited
Geometric Entropic Exploration
2021
36
cited
North American Chapter of the Association for Computational Linguistics · 2025
36
cited
International Conference on Machine Learning · 2023
33
cited
Large-scale graph representation learning with very deep GNNs and self-supervision
2021
27
cited
North American Chapter of the Association for Computational Linguistics · 2025
12
cited
Generalised Policy Improvement with Geometric Policy Composition
2022
10
cited
Bioinspired engineering of exploration systems
2001
6
cited
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
2023
6
cited
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