Kaelan Donatella

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Bayesian Learning

Top Venues

Publications

Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin E. Crooks, Patrick J. Coles
Thermodynamic Natural Gradient Descent. CoRR (2024)
Maxwell Aifer, Denis Melanson, Kaelan Donatella, Gavin E. Crooks, Thomas Ahle, Patrick J. Coles
Error Mitigation for Thermodynamic Computing. CoRR (2024)
Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel Simpson
Scalable Bayesian Learning with posteriors. CoRR (2024)
Denis Melanson, Mohammad Abu Khater, Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Gavin E. Crooks, Antonio J. Martinez, Faris M. Sbahi, Patrick J. Coles
Thermodynamic Computing System for AI Applications. CoRR (2023)
Patrick J. Coles, Collin Szczepanski, Denis Melanson, Kaelan Donatella, Antonio J. Martinez, Faris M. Sbahi
Thermodynamic AI and the Fluctuation Frontier. ICRC (2023)
Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Daniel Simpson, Gavin E. Crooks, Patrick J. Coles
Thermodynamic Linear Algebra. CoRR (2023)
Johnathan Chiu, Samuel Duffield, Max Hunter Gordon, Kaelan Donatella, Maxwell Aifer, Andi Gu
Exploiting Inductive Biases in Video Modeling through Neural CDEs. CoRR (2023)