Demonstrating Bayesian quantum phase estimation with quantum error detection K Yamamoto, S Duffield, Y Kikuchi, D Muñoz Ramo Physical Review Research 6 (1), 013221, 2024 | 13 | 2024 |
Bayesian learning of parameterised quantum circuits S Duffield, M Benedetti, M Rosenkranz Machine Learning: Science and Technology 4 (2), 025007, 2023 | 10 | 2023 |
Ensemble Kalman inversion for general likelihoods S Duffield, SS Singh Statistics & Probability Letters 187, 109523, 2022 | 7 | 2022 |
Online Particle Smoothing with Application to Map-matching S Duffield, SS Singh IEEE Transactions on Signal Processing 70, 497-508, 2022 | 5 | 2022 |
Thermodynamic matrix exponentials and thermodynamic parallelism S Duffield, M Aifer, G Crooks, T Ahle, PJ Coles arXiv preprint arXiv:2311.12759, 2023 | 3 | 2023 |
qujax: Simulating quantum circuits with JAX S Duffield, G Matos, M Johannsen Journal of Open Source Software 8 (89), 5504, 2023 | 2 | 2023 |
A State-Space Perspective on Modelling and Inference for Online Skill Rating S Duffield, S Power, L Rimella arXiv preprint arXiv:2308.02414, 2023 | 2 | 2023 |
mocat: All things Monte Carlo, written in JAX S Duffield https://github.com/SamDuffield/mocat, 2021 | 2 | 2021 |
Exploiting Inductive Biases in Video Modeling through Neural CDEs J Chiu, S Duffield, M Hunter-Gordon, K Donatella, M Aifer, A Gu arXiv preprint arXiv:2311.04986, 2023 | 1 | 2023 |
Quasi-Newton Sequential Monte Carlo S Duffield, SS Singh arXiv preprint arXiv:2211.12580, 2022 | 1 | 2022 |
Scalable Bayesian Learning with posteriors S Duffield, K Donatella, J Chiu, P Klett, D Simpson arXiv preprint arXiv:2406.00104, 2024 | | 2024 |
Thermodynamic Natural Gradient Descent K Donatella, S Duffield, M Aifer, D Melanson, G Crooks, PJ Coles arXiv preprint arXiv:2405.13817, 2024 | | 2024 |
Iterative Monte Carlo Approximations for Bayesian Inference S Duffield | | 2022 |
bmm: Bayesian Map-matching S Duffield Journal of Open Source Software, 2022 | | 2022 |