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Juan P. Garrahan

According to our database1, Juan P. Garrahan authored at least 7 papers between 2020 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Minibatch training of neural network ensembles via trajectory sampling.
[BibTeX]
[DOI]
Jamie F. Mair
,
Luke Causer
,
Juan P. Garrahan
CoRR, 2023

2022
Reinforcement Learning with Tensor Networks: Application to Dynamical Large Deviations.
[BibTeX]
[DOI]
Edward Gillman
,
Dominic C. Rose
,
Juan P. Garrahan
CoRR, 2022

Training neural network ensembles via trajectory sampling.
[BibTeX]
[DOI]
Jamie F. Mair
,
Dominic C. Rose
,
Juan P. Garrahan
CoRR, 2022

2021
Reinforcement learning of rare diffusive dynamics.
[BibTeX]
[DOI]
Avishek Das
,
Dominic C. Rose
,
Juan P. Garrahan
,
David T. Limmer
CoRR, 2021

2020
A deep learning functional estimator of optimal dynamics for sampling large deviations.
[BibTeX]
[DOI]
Tom H. E. Oakes
,
Adam Moss
,
Juan P. Garrahan
Mach. Learn. Sci. Technol., 2020

A reinforcement learning approach to rare trajectory sampling.
[BibTeX]
[DOI]
Dominic C. Rose
,
Jamie F. Mair
,
Juan P. Garrahan
CoRR, 2020

A Tensor Network Approach to Finite Markov Decision Processes.
[BibTeX]
[DOI]
Edward Gillman
,
Dominic C. Rose
,
Juan P. Garrahan
CoRR, 2020


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