Kaelan Donatella

According to our database1, Kaelan Donatella authored at least 10 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Scalable Thermodynamic Second-order Optimization.
CoRR, February, 2025

Scalable Bayesian Learning with posteriors.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Thermodynamic Natural Gradient Descent.
CoRR, 2024

Error Mitigation for Thermodynamic Computing.
CoRR, 2024

Thermodynamic Algorithms for Quadratic Programming.
Proceedings of the IEEE International Conference on Rebooting Computing, 2024

Thermodynamic Bayesian Inference.
Proceedings of the IEEE International Conference on Rebooting Computing, 2024

2023
Thermodynamic Computing System for AI Applications.
CoRR, 2023

Exploiting Inductive Biases in Video Modeling through Neural CDEs.
CoRR, 2023

Thermodynamic Linear Algebra.
CoRR, 2023

Thermodynamic AI and the Fluctuation Frontier.
Proceedings of the IEEE International Conference on Rebooting Computing, 2023


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