| Exploiting submodular value functions for faster dynamic sensor selection Y Satsangi, S Whiteson, F Oliehoek Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 36 | 2015 |
| Exploiting submodular value functions for scaling up active perception Y Satsangi, S Whiteson, FA Oliehoek, MTJ Spaan Autonomous Robots 42 (2), 209-233, 2018 | 33 | 2018 |
| Maximizing information gain in partially observable environments via prediction reward Y Satsangi, S Lim, S Whiteson, F Oliehoek, M White arXiv preprint arXiv:2005.04912, 2020 | 17 | 2020 |
| Useful policy invariant shaping from arbitrary advice P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling arXiv preprint arXiv:2011.01297, 2020 | 10 | 2020 |
| Policy invariant explicit shaping: an efficient alternative to reward shaping P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling Neural Computing and Applications, 1-14, 2022 | 7 | 2022 |
| PAC greedy maximization with efficient bounds on information gain for sensor selection S Whiteson | 5 | 2016 |
| An analysis of piecewise-linear and convex value functions for active perception POMDPs Y Satsangi, S Whiteson, MTJ Spaan Informatics Institute, University of Amsterdam, Tech. Rep. IAS-UVA-15-01, 2015 | 5 | 2015 |
| Real-time resource allocation for tracking systems Y Satsangi, S Whiteson, FA Oliehoek, H Bouma arXiv preprint arXiv:2010.03024, 2020 | 4 | 2020 |
| Exploiting submodular value functions for faster dynamic sensor selection: Extended version Y Satsangi, S Whiteson, FA Oliehoek Technical Report IASUVA-14-02, University of Amsterdam, Informatics Institute, 2014 | 4 | 2014 |
| Learning to Be Cautious M Mohammedalamen, D Morrill, A Sieusahai, Y Satsangi, M Bowling arXiv preprint arXiv:2110.15907, 2021 | 3 | 2021 |
| Active perception for person tracking Y Satsangi | 2 | 2019 |
| Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning G Papadopoulos, Y Satsangi, S Eloul, M Pistoia European Conference on Information Retrieval, 243-256, 2024 | 1 | 2024 |
| Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning X Zhi, Y Satsangi, S Moran, S Eloul Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |
| Topical: Learning repository embeddings from source code using attention A Lherondelle, V Babbar, Y Satsangi, F Silavong, S Eloul, S Moran arXiv preprint arXiv:2208.09495, 2022 | 1 | 2022 |
| Systems and methods for auto-captioning repositories from source code Y Satsangi, S Eloul, S Moran US Patent 12,039,296, 2024 | | 2024 |
| Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings A Lherondelle, V Babbar, Y Satsangi, F Silavong, S Eloul, S Moran Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges …, 2024 | | 2024 |
| Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data G Papadopoulos, Y Satsangi, S Eloul, M Pistoia European Conference on Information Retrieval, 257-269, 2024 | | 2024 |
| Systems and methods for risk diagnosis of cryptocurrency addresses on blockchains using anonymous and public information ZHI Xiaoying, Y Satsangi, S Eloul, S Moran, A Stoliar, H Khaykovich, ... US Patent App. 18/333,927, 2023 | | 2023 |
| Estimating Class Separability of Datasets Using Persistent Homology with Application to LLM Fine-Tuning N Ghalyan, K Gourgoulias, Y Satsangi, S Moran, M Labonne, J Sabelja arXiv preprint arXiv:2305.15016, 2023 | | 2023 |
| An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. N Ghalyan, KGYSS Moran, MLJ Sabelja, JPM Chase arXiv preprint arXiv:2305.15016, 2023 | | 2023 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
