Sampling molecular conformations and dynamics in a multi-user virtual reality framework. - Michael B. O'Connor; Helen M. Deeks; Edward Dawn; Oussama Metatla; Anne Roudaut; Matthew Sutton; Becca Rose Glowacki; Rebecca Sage; Philip Tew; Mark Wonnacott; Phil Bates; Adrian J. Mulholland; et al. (CoRR, 2018)

Continuously Tempered PDMP samplers. - Matthew Sutton; Robert Salomone; Augustin Chevallier; Paul Fearnhead (NeurIPS, 2022)

Transport Reversible Jump Proposals. - Laurence Davies; Robert Salomone; Matthew Sutton; Chris Drovandi (AISTATS, 2023)

Debiasing Piecewise Deterministic Markov Process samplers using couplings. - Adrien Corenflos; Matthew Sutton; Nicolas Chopin (CoRR, 2023)

Concave-Convex PDMP-based Sampling. - Matthew Sutton; Paul Fearnhead (J. Comput. Graph. Stat., 2023)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. - Conor Hassan; Matthew Sutton; Antonietta Mira; Kerrie L. Mengersen (CoRR, 2024)

The Polynomial Stein Discrepancy for Assessing Moment Convergence. - Narayan Srinivasan; Matthew Sutton; Christopher C. Drovandi; Leah F. South (CoRR, 2024)