Samuel Duffield

According to our database, Samuel Duffield authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, February, 2025

Scalable Bayesian Learning with posteriors.

Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel Simpson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Thermodynamic Natural Gradient Descent.

Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin E. Crooks, Patrick J. Coles

CoRR, 2024

Thermodynamic Bayesian Inference.

Maxwell Aifer, Samuel Duffield, Kaelan Donatella, Denis Melanson, Phoebe Klett, Zach Belateche, Gavin E. Crooks, Antonio J. Martinez, Patrick J. Coles

Proceedings of the IEEE International Conference on Rebooting Computing, 2024

2023

qujax: Simulating quantum circuits with JAX.

Samuel Duffield, Gabriel Matos, Melf Johannsen

J. Open Source Softw., October, 2023

Bayesian learning of parameterised quantum circuits.

Samuel Duffield, Marcello Benedetti, Matthias Rosenkranz

Mach. Learn. Sci. Technol., June, 2023

Thermodynamic Matrix Exponentials and Thermodynamic Parallelism.

Samuel Duffield, Maxwell Aifer, Gavin E. Crooks, Thomas Ahle, Patrick J. Coles

CoRR, 2023

Exploiting Inductive Biases in Video Modeling through Neural CDEs.

Johnathan Chiu, Samuel Duffield, Max Hunter Gordon, Kaelan Donatella, Maxwell Aifer, Andi Gu

CoRR, 2023

2022

Online Particle Smoothing With Application to Map-Matching.

Samuel Duffield, Sumeetpal S. Singh

IEEE Trans. Signal Process., 2022

bmm: Bayesian Map-matching.

Samuel Duffield

J. Open Source Softw., 2022