| Size-noise tradeoffs in generative networks B Bailey, MJ Telgarsky Advances in Neural Information Processing Systems 31, 2018 | 23 | 2018 |
| A gradual, semi-discrete approach to generative network training via explicit wasserstein minimization Y Chen, M Telgarsky, C Zhang, B Bailey, D Hsu, J Peng International Conference on Machine Learning, 1071-1080, 2019 | 16 | 2019 |
| Merkle trees optimized for stateless clients in bitcoin B Bailey, S Sankagiri Financial Cryptography and Data Security. FC 2021 International Workshops …, 2021 | 9 | 2021 |
| Approximation power of random neural networks B Bailey, Z Ji, M Telgarsky, R Xian arXiv preprint arXiv:1906.07709, 2019 | 7 | 2019 |
| Formalizing soundness proofs of SNARKs B Bailey, A Miller Cryptology ePrint Archive, 2023 | 4 | 2023 |
| General partially fair multi-party computation with vdfs B Bailey, A Miller, O Sattath Cryptology ePrint Archive, 2022 | 1 | 2022 |
| 51% Attack via Difficulty Increase with a Small Quantum Miner B Bailey, O Sattath arXiv preprint arXiv:2403.08023, 2024 | | 2024 |
| The Spatial Double Flash Illusion: Audition-Induced Spatial Displacement A Tanguay Jr, B Bailey, N Stiles, C Levitan, S Shimojo Journal of Vision 17 (10), 197-197, 2017 | | 2017 |
| Fast Anonymous Consensus and Private Authentication in Large Distributed Systems V Nair, B Bailey | | |
| Tuesday July 9, 1.45-8.00 pm B Bah, M Belkin, D Hsu, S Ma, S Mandal, S Oymak, BR Bailey, ... | | |
Matus TelgarskyCourant Institute of Mathematical Sciences, New York UniversityVerified email at nyu.edu
