Yash Satsangi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Unsupervised Learning

Partially Observable Environments

Information Gain

Top Venues

Publications

Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean Moran, Joseph Sabelja
Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. 2024 (2024)
Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia
Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. ECIR (4) (2024)
Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia
Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. ECIR (4) (2024)
Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean Moran, Maxime Labonne, Joseph Sabelja
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR (2023)
Yash Satsangi, Paniz Behboudian
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning. CoRR (2023)
Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
Topical: Learning Repository Embeddings from Source Code using Attention. CoRR (2022)
Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. CIKM (2022)
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
Policy invariant explicit shaping: an efficient alternative to reward shaping. Neural Comput. Appl. 34 (3) (2022)
Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
Learning to Be Cautious. CoRR (2021)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
Exploiting Submodular Value Functions For Scaling Up Active Perception. CoRR (2020)
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
Useful Policy Invariant Shaping from Arbitrary Advice. CoRR (2020)
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. AAMAS (2020)
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
Maximizing Information Gain in Partially Observable Environments via Prediction Reward. CoRR (2020)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
Real-Time Resource Allocation for Tracking Systems. CoRR (2020)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
Exploiting submodular value functions for scaling up active perception. Auton. Robots 42 (2) (2018)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
Real-Time Resource Allocation for Tracking Systems. UAI (2017)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection. IJCAI (2016)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
Probably Approximately Correct Greedy Maximization: (Extended Abstract). AAMAS (2016)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
Probably Approximately Correct Greedy Maximization. CoRR (2016)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection. AAAI (2015)