Publications & Patents

See also Google Scholar. Italic = me.

Peer-reviewed papers

1. Applications of Certified Randomness
   O. Amer, S. Chakrabarti, K. Chakraborty, S. Eloul, N. Kumar, C. Lim, M. Liu, P. Niroula, Y. Satsangi, R. Shaydulin, M. Pistoia
   Nature Reviews Physics, 2025
   arXiv
2. Towards Adoption of Private Distributed Ledgers for Capital Markets
   Y. W. Zhu, S. Eloul, Y. Satsangi, I. Bashir, S. Upadhyay
   International Symposium on Foundations and Practice of Security (FPS), 2025
3. Learning to be Cautious
   M. Mohammedalamen, D. Morrill, A. Sieusahai, Y. Satsangi, M. Bowling
   Transactions on Machine Learning Research (TMLR), 2025
   arXiv
4. Estimating Class Separability of Text Embeddings with Persistent Homology
   K. Gourgoulias, N. Ghalyan, M. Labonne, Y. Satsangi, S. Moran, J. Sabelja
   Transactions on Machine Learning Research (TMLR), 2024
   arXiv pdf
5. Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning
   G. Papadopoulos, Y. Satsangi, S. Eloul, M. Pistoia
   European Conference on Information Retrieval (ECIR), 2024
   Springer
6. 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 (ECIR), 2024
   Springer
7. Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings
   A. Lherondelle, V. Babbar, Y. Satsangi, F. Silavong, S. Eloul, S. Moran
   IEEE/ACM Workshop on Software Engineering Challenges, 2024
   pdf
8. Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-Modal Unsupervised Learning
   X. Zhi, Y. Satsangi, S. Moran, S. Eloul
   Conference on Information and Knowledge Management (CIKM), 2022
   pdf
9. Useful Policy-Invariant Explicit Shaping: an Efficient Alternative to Reward Shaping
   P. Behboudian, Y. Satsangi, M. E. Taylor, A. Harutyunyan, M. Bowling
   Neural Computing and Applications, 2022
   pdf
10. Maximizing Information Gain in Partially Observable Environments via Prediction Rewards (Deep Anticipatory Networks)
    Y. Satsangi, S. Lim, S. Whiteson, F. A. Oliehoek, M. White
    Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
    pdf
11. Exploiting Submodular Value Functions for Scaling Up Active Perception
    Y. Satsangi, S. Whiteson, F. A. Oliehoek, M. T. J. Spaan
    Autonomous Robots, 2018  ·  extended version of AAAI 2015 (ICRA 2015 Shakey 50th-anniversary special presentation)
    pdf
12. Real-Time Resource Allocation for Tracking Systems
    Y. Satsangi, S. Whiteson, F. A. Oliehoek, H. Bouma
    Uncertainty in Artificial Intelligence (UAI), 2017
    pdf
13. PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection
    Y. Satsangi, S. Whiteson, F. A. Oliehoek
    International Joint Conference on Artificial Intelligence (IJCAI), 2016
    pdf
14. Probably Approximately Correct Greedy Maximization (extended abstract)
    Y. Satsangi, S. Whiteson, F. A. Oliehoek
    Autonomous Agents and Multi-Agent Systems (AAMAS), 2016
    pdf
15. Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection
    Y. Satsangi, S. Whiteson, F. A. Oliehoek
    AAAI Conference on Artificial Intelligence, 2015  ·  one of 8 papers selected for the ICRA 2015 Shakey 50th-anniversary celebration
    pdf

Preprints & workshop papers

1. A Practical Post-Quantum Distributed Ledger Protocol for Financial Institutions
   Y. W. Zhu, N. G. Boddu, Y. Ma, S. Eloul, G. Golinelli, Y. Satsangi, R. Otter, et al.
   arXiv:2603.05005, 2026
   arXiv
2. Verifiable Random Sampling
   Y. W. Zhu, S. Rethinasamy, A. A. Armenakas, Y. Satsangi, S. Eloul, et al.
   arXiv:2607.26734, 2026
   arXiv
3. A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
   G. Papadopoulos, S. Eloul, Y. Satsangi, J. Heredge, N. Kumar, CF. Chen, M. Pistoia
   arXiv:2504.12806, 2025
   arXiv
4. Private, Auditable, and Distributed Ledger for Financial Institutes (PADL)
   S. Eloul, Y. Satsangi, Y. W. Zhu, O. Amer, G. Papadopoulos, M. Pistoia
   arXiv:2501.03808, 2025  ·  presented at ZKProof 7
   arXiv code
5. Bandit-Based Policy-Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
   Y. Satsangi, P. Behboudian
   arXiv:2304.07163, 2023  ·  AAMAS ALA Workshop
   arXiv
6. Topical: Learning Repository Embeddings from Source Code using Attention
   A. Lherondelle, V. Babbar, Y. Satsangi, F. Silavong, S. Eloul, S. Moran
   arXiv:2208.09495, 2022
   arXiv
7. Useful Policy-Invariant Shaping from Arbitrary Advice
   P. Behboudian, Y. Satsangi, M. E. Taylor, A. Harutyunyan, M. Bowling
   AAMAS ALA Workshop, 2020
   arXiv

Patents

1. Private and auditable transaction protocol using smart contracts on blockchains
   S. Eloul, M. Pistoia, I. Bashir, Y. Satsangi, S. M. K. Valiveti
   US Patent Application 18/899,918
2. Blockchain-based certified random function using a quantum random circuit generator
   S. Eloul, R. Shaydulin, Y. Satsangi, M. Pistoia
   US Patent Application 18/679,638
3. Risk diagnosis of cryptocurrency addresses on blockchains using anonymous and public information
   X. Zhi, Y. Satsangi, S. Eloul, S. Moran, A. Stoliar, et al.
   US Patent 12,524,723
4. Zero-knowledge distributed ledgers with confidential assets and inter-asset auditing capabilities
   S. Eloul, Y. Satsangi, A. Klausing, S. Upadhyay, M. Pistoia, et al.
   US Patent Application 18/442,989
5. Code-repository embedding for tagging and summarization tasks using attention on multiple code domains
   S. Eloul, A. Lhérondelle, S. Moran, F. Silavong, Y. Satsangi
   US Patent 12,182,547
6. Learning from unlabeled data and fine-tuning of models using persistent homology
   N. Ghalyan, Y. Satsangi, K. Gourgoulias, J. Sabelja, S. Moran
   US Patent Application 18/343,320
7. Auto-captioning repositories from source code
   Y. Satsangi, S. Eloul, S. Moran
   US Patent 12,039,296

Thesis

1. Active Perception for Person Tracking
   Y. Satsangi  ·  advisors: S. Whiteson, F. A. Oliehoek
   PhD thesis, University of Amsterdam, 2019
   pdf