Cooper Lorsung

Orcid: 0000-0003-1410-9077

According to our database1, Cooper Lorsung authored at least 11 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Physics informed token transformer for solving partial differential equations.
Mach. Learn. Sci. Technol., March, 2024

Strategies for Pretraining Neural Operators.
Trans. Mach. Learn. Res., 2024

Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text.
CoRR, 2024

PICL: Physics Informed Contrastive Learning for Partial Differential Equations.
CoRR, 2024

2023
Physics Informed Token Transformer.
CoRR, 2023

Neural Network Predicts Ion Concentration Profiles under Nanoconfinement.
CoRR, 2023

2022
AugLiChem: data augmentation library of chemical structures for machine learning.
Mach. Learn. Sci. Technol., December, 2022

MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics.
CoRR, 2022

2021
AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning.
CoRR, 2021

Understanding Uncertainty in Bayesian Deep Learning.
CoRR, 2021

2020
Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks.
CoRR, 2020


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