Yash Satsangi - RankMe

26 papers A* 2A 4Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Practical Post-Quantum Distributed Ledger Protocol for Financial Institutions. CoRR Yeoh Wei Zhu, Naresh Goud Boddu, Yao Ma, Shaltiel Eloul, Giulio Golinelli, Yash Satsangi, Rob Otter, Kaushik Chakraborty
2025	J	`jnl`	A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. CoRR Georgios Papadopoulos, Shaltiel Eloul, Yash Satsangi, Jamie Heredge, Niraj Kumar, Chun-Fu Chen, Marco Pistoia
2025	J	`jnl`	Applications of Certified Randomness. CoRR Omar Amer, Shouvanik Chakrabarti, Kaushik Chakraborty, Shaltiel Eloul, Niraj Kumar, Charles Lim, Minzhao Liu, Pradeep Niroula, Yash Satsangi, Ruslan Shaydulin, Marco Pistoia
2025	J	`jnl`	Learning to Be Cautious. Trans. Mach. Learn. Res. Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
2025	J	`jnl`	Private, Auditable, and Distributed Ledger for Financial Institutes. CoRR Shaltiel Eloul, Yash Satsangi, Yeoh Wei Zhu, Omar Amer, Georgios Papadopoulos, Marco Pistoia
2024	—	`conf`	Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. ECIR (4) Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia
2024	J	`jnl`	Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja
2024	—	`conf`	Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. ECIR (4) Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia
2024	—	`conf`	Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. FinanSE@ICSE Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2023	J	`jnl`	An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja
2023	J	`jnl`	Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning. CoRR Yash Satsangi, Paniz Behboudian
2022	A	`conf`	Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. CIKM Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul
2022	J	`jnl`	Policy invariant explicit shaping: an efficient alternative to reward shaping. Neural Comput. Appl. Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
2022	J	`jnl`	Topical: Learning Repository Embeddings from Source Code using Attention. CoRR Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2021	J	`jnl`	Learning to Be Cautious. CoRR Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
2020	J	`jnl`	Exploiting Submodular Value Functions For Scaling Up Active Perception. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
2020	J	`jnl`	Maximizing Information Gain in Partially Observable Environments via Prediction Reward. CoRR Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	A	`conf`	Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. AAMAS Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	J	`jnl`	Real-Time Resource Allocation for Tracking Systems. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2020	J	`jnl`	Useful Policy Invariant Shaping from Arbitrary Advice. CoRR Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
2018	J	`jnl`	Exploiting submodular value functions for scaling up active perception. Auton. Robots Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
2017	A	`conf`	Real-Time Resource Allocation for Tracking Systems. UAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2016	A*	`conf`	PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection. IJCAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	J	`jnl`	Probably Approximately Correct Greedy Maximization. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	A	`conf`	Probably Approximately Correct Greedy Maximization: (Extended Abstract). AAMAS Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2015	A*	`conf`	Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection. AAAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek