Sotabase

Career

· Applied Research Scientist, JPMorgan Chase & Co. (Current)2021–
· Assistant Professor, Tilburg University2020–2021
· Postdoctoral Researcher, University of Alberta2019–2020
· Research Scientist, TNO2017–2019
· Doctor of Philosophy - PhD, Informatics, University of Amsterdam2013–2019
· Data Developer, Capital One2012–2012
· Senior Developer, Capital One2012–2013
· Research Intern, eBay2011–2011
· Master Of Science, Electrical Engineering, Columbia University in the City of New York2010–2012
· Intern, Raja Ramanna Centre2009–2009
· B. Tech, Electronics & Communication Engineering, Visvesvaraya National Institute of Technology2006–2010

Publications (21)

Exploiting submodular value functions for scaling up active perception
Autonomous Robots · 2017
29
cited
Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection
AAAI Conference on Artificial Intelligence · 2015
24
cited
Maximizing Information Gain in Partially Observable Environments via Prediction Reward
Adaptive Agents and Multi-Agent Systems · 2020
15
cited
Policy invariant explicit shaping: an efficient alternative to reward shaping
Neural computing & applications (Print) · 2021
9
cited
Useful Policy Invariant Shaping from Arbitrary Advice
arXiv.org · 2020
7
cited
An Analysis of Piecewise-Linear and Convex Value Functions for Active Perception POMDPs
2015
5
cited
Applications of certified randomness
Nature Reviews Physics · 2025
4
cited
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning
International Conference on Information and Knowledge Management · 2022
4
cited
PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection
International Joint Conference on Artificial Intelligence · 2016
3
cited
Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning
European Conference on Information Retrieval · 2024
2
cited
Learning to Be Cautious
Trans. Mach. Learn. Res. · 2021
2
cited
Topical: Learning Repository Embeddings from Source Code using Attention
arXiv.org · 2022
2
cited
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
arXiv.org · 2025
1
cited
Estimating class separability of text embeddings with persistent homology
Trans. Mach. Learn. Res. · 2023
1
cited
Ias Intelligent Autonomous Systems Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection: Extended Version
1
cited
Real-Time Resource Allocation for Tracking Systems
Conference on Uncertainty in Artificial Intelligence · 2020
1
cited
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
arXiv.org · 2023
Private, Auditable, and Distributed Ledger for Financial Institutes
arXiv.org · 2025
Probably Approximately Correct Greedy Maximization: (Extended Abstract)
Adaptive Agents and Multi-Agent Systems · 2016
Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data
European Conference on Information Retrieval · 2024
Sotabase
Yash Satsangi | Researcher Profile | Sotabase | Sotabase