Christopher J. Earls

According to our database, Christopher J. Earls authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PDE-LEARN: Using deep learning to discover partial differential equations from noisy, limited data.

Robert Stephany, Christopher J. Earls

Neural Networks, 2024

Weak-PDE-LEARN: A weak form based approach to discovering PDEs from noisy, limited data.

Robert Stephany, Christopher J. Earls

J. Comput. Phys., 2024

Density estimation with LLMs: a geometric investigation of in-context learning trajectories.

Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati, Christopher J. Earls

CoRR, 2024

Lines of Thought in Large Language Models.

Raphaël Sarfati, Toni J. B. Liu, Nicolas Boullé, Christopher J. Earls

CoRR, 2024

LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law.

Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati, Christopher J. Earls

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

PDE-READ: Human-readable partial differential equation discovery using deep learning.

Robert Stephany, Christopher J. Earls

Neural Networks, 2022

Bayesian deep learning for partial differential equation parameter discovery with sparse and noisy data.

Christophe Bonneville, Christopher J. Earls

J. Comput. Phys. X, 2022

Principled interpolation of Green's functions learned from data.

Harshwardhan Praveen, Nicolas Boullé, Christopher J. Earls

CoRR, 2022

2021

CU-MSDSp: A flexible parallelized Reversible jump Markov chain Monte Carlo method.

John Taylor Chavis III, Amy L. Cochran, Christopher J. Earls

SoftwareX, 2021

Gaussian processes for shock test emulation.

Christophe Bonneville, Maxwell Jenquin, Juan Londono, Alex Kelly, Jeffrey Cipolla, Christopher J. Earls

Reliab. Eng. Syst. Saf., 2021

Deep learning for classifying and characterizing atmospheric ducting within the maritime setting.

Hilarie Sit, Christopher J. Earls

Comput. Geosci., 2021

Data-driven discovery of physical laws with human-understandable deep learning.

Nicolas Boullé, Christopher J. Earls, Alex Townsend

CoRR, 2021

A new engineering theory describing oblique free surface impact by flexible plates.

Wensi Wu, Christopher J. Earls

CoRR, 2021

2020

CU-BENs: A structural modeling finite element library.

Wensi Wu, Justyna Kosianka, Heather M. Reed, Christopher Stull, Christopher J. Earls

SoftwareX, 2020

A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations.

Wensi Wu, Christophe Bonneville, Christopher J. Earls

CoRR, 2020

2019

A Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer.

Marc Aurèle Gilles, Christopher J. Earls, David Bindel

IEEE Trans. Geosci. Remote. Sens., 2019

Analysis of heterogeneous computing approaches to simulating heat transfer in heterogeneous material.

Andrew E. Loeb, Christopher J. Earls

J. Parallel Distributed Comput., 2019

2016

Inverting for Maritime Environments Using Proper Orthogonal Bases From Sparsely Sampled Electromagnetic Propagation Data.

Vasileios Fountoulakis, Christopher J. Earls

IEEE Trans. Geosci. Remote. Sens., 2016