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Stephen Whitelam

Orcid: 0000-0002-0086-6803

According to our database1, Stephen Whitelam authored at least 20 papers between 2014 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Thermodynamic computing out of equilibrium.
[BibTeX]
[DOI]
Stephen Whitelam
,
Corneel Casert
CoRR, 2024

Increasing the clock speed of a thermodynamic computer by adding noise.
[BibTeX]
[DOI]
Stephen Whitelam
CoRR, 2024

Adaptive AI-Driven Material Synthesis: Towards Autonomous 2D Materials Growth.
[BibTeX]
[DOI]
Leonardo Sabattini
,
Annalisa Coriolano
,
Corneel Casert
,
Stiven Forti
,
Edward S. Barnard
,
Fabio Beltram
,
Massimiliano Pontil
,
Stephen Whitelam
,
Camilla Coletti
,
Antonio Rossi
CoRR, 2024

Springs and a stopwatch: neural units with time-dependent multifunctionality.
[BibTeX]
[DOI]
Stephen Whitelam
CoRR, 2024

2023
How to train your demon to do fast information erasure without heat production.
[BibTeX]
[DOI]
Stephen Whitelam
CoRR, 2023

2022
Training neural networks using Metropolis Monte Carlo and an adaptive variant.
[BibTeX]
[DOI]
Stephen Whitelam
,
Viktor Selin
,
Ian Benlolo
,
Corneel Casert
,
Isaac Tamblyn
Mach. Learn. Sci. Technol., December, 2022

Demon in the machine: learning to extract work and absorb entropy from fluctuating nanosystems.
[BibTeX]
[DOI]
Stephen Whitelam
CoRR, 2022

Training neural networks using Metropolis Monte Carlo and an adaptive variant.
[BibTeX]
[DOI]
Stephen Whitelam
,
Viktor Selin
,
Ian Benlolo
,
Isaac Tamblyn
CoRR, 2022

Cellular automata can classify data by inducing trajectory phase coexistence.
[BibTeX]
[DOI]
Stephen Whitelam
,
Isaac Tamblyn
CoRR, 2022

Learning stochastic dynamics and predicting emergent behavior using transformers.
[BibTeX]
[DOI]
Corneel Casert
,
Isaac Tamblyn
,
Stephen Whitelam
CoRR, 2022

2021
Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles.
[BibTeX]
[DOI]
Kyle Sprague
,
Juan Carrasquilla
,
Stephen Whitelam
,
Isaac Tamblyn
Mach. Learn. Sci. Technol., 2021

Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set Centroids.
[BibTeX]
[DOI]
Stephen Whitelam
Entropy, 2021

2020
Neuroevolutionary learning of particles and protocols for self-assembly.
[BibTeX]
[DOI]
Stephen Whitelam
,
Isaac Tamblyn
CoRR, 2020

Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz.
[BibTeX]
[DOI]
Corneel Casert
,
Tom Vieijra
,
Stephen Whitelam
,
Isaac Tamblyn
CoRR, 2020

Correspondence between neuroevolution and gradient descent.
[BibTeX]
[DOI]
Stephen Whitelam
,
Viktor Selin
,
Sang-Won Park
,
Isaac Tamblyn
CoRR, 2020

2019
Learning to grow: control of materials self-assembly using evolutionary reinforcement learning.
[BibTeX]
[DOI]
Stephen Whitelam
,
Isaac Tamblyn
CoRR, 2019

Evolutionary reinforcement learning of dynamical large deviations.
[BibTeX]
[DOI]
Stephen Whitelam
,
Daniel Jacobson
,
Isaac Tamblyn
CoRR, 2019

Optimizing thermodynamic trajectories using evolutionary reinforcement learning.
[BibTeX]
[DOI]
Chris Beeler
,
Uladzimir Yahorau
,
Rory Coles
,
Kyle Mills
,
Stephen Whitelam
,
Isaac Tamblyn
CoRR, 2019

2018
Simple coarse graining and sampling strategies for image recognition.
[BibTeX]
[DOI]
Stephen Whitelam
CoRR, 2018

2014
Development and use of an atomistic CHARMM-based forcefield for peptoid simulation.
[BibTeX]
[DOI]
Dina T. Mirijanian
,
Ranjan V. Mannige
,
Ronald N. Zuckermann
,
Stephen Whitelam
J. Comput. Chem., 2014


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