bmm: Bayesian Map-matching. - Samuel Duffield (J. Open Source Softw., 2022)

Online Particle Smoothing With Application to Map-Matching. - Samuel Duffield; Sumeetpal S. Singh (IEEE Trans. Signal Process., 2022)

Exploiting Inductive Biases in Video Modeling through Neural CDEs. - Johnathan Chiu; Samuel Duffield; Max Hunter Gordon; Kaelan Donatella; Maxwell Aifer; Andi Gu (CoRR, 2023)

Thermodynamic Matrix Exponentials and Thermodynamic Parallelism. - Samuel Duffield; Maxwell Aifer; Gavin E. Crooks; Thomas Ahle; Patrick J. Coles (CoRR, 2023)

Bayesian learning of parameterised quantum circuits. - Samuel Duffield; Marcello Benedetti; Matthias Rosenkranz (Mach. Learn. Sci. Technol., 2023)

qujax: Simulating quantum circuits with JAX. - Samuel Duffield; Gabriel Matos; Melf Johannsen (J. Open Source Softw., 2023)

Thermodynamic Bayesian Inference. - Maxwell Aifer; Samuel Duffield; Kaelan Donatella; Denis Melanson; Phoebe Klett; Zach Belateche; Gavin E. Crooks; Antonio J. Martinez; Patrick J. Coles (ICRC, 2024)

Thermodynamic Natural Gradient Descent. - Kaelan Donatella; Samuel Duffield; Maxwell Aifer; Denis Melanson; Gavin E. Crooks; Patrick J. Coles (CoRR, 2024)

Scalable Bayesian Learning with posteriors. - Samuel Duffield; Kaelan Donatella; Johnathan Chiu; Phoebe Klett; Daniel Simpson (ICLR, 2025)

Scalable Thermodynamic Second-order Optimization. - Kaelan Donatella; Samuel Duffield; Denis Melanson; Maxwell Aifer; Phoebe Klett; Rajath Salegame; Zach Belateche; Gavin E. Crooks; Antonio J. Martinez; Patrick J. Coles (CoRR, 2025)