Christopher J. Earls

Professor
Civil & Environmental Engr DEPT · EN

Christopher J. Earls serves as Professor in Civil & Environmental Engr at Cornell University.

116 publications
1,268 citations
21 h-index
Engineering
Recent Papers (15)
2026-08-20 · Machine Learning Science and Technology · Artificial Intelligence
Text-trained LLMs can zero-shot extrapolate PDE dynamics, revealing a three-stage in-context learning mechanism
Christopher J. EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-07-10 · Physical review. B./Physical review. B · Cognitive Neuroscience
Attention in Krylov space: Transformer-based extrapolation of Lanczos coefficients
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-07-01 · arXiv (Cornell University) · Atomic and Molecular Physics, and Optics
Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-05-06 · arXiv (Cornell University) · Atomic and Molecular Physics, and Optics
Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-04-13 · PRX Quantum · Atomic and Molecular Physics, and Optics
Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-04-13 · PRX Quantum · Atomic and Molecular Physics, and Optics
Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-01-23 · arXiv (Cornell University) · Artificial Intelligence
Jacobian Scopes: token-level causal attributions in LLMs
Christopher J. EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-01-12 · arXiv (Cornell University) · Atomic and Molecular Physics, and Optics
Attention in Krylov Space: Transformer-Based Extrapolation of Lanczos Coefficients
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2022-03-22
Data-driven discovery of Green’s functions with human-understandable deep learning
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
Alex TownsendProf Assoc, Mathematics · CAS
2021-09-06
Deep learning for classifying and characterizing atmospheric ducting within the maritime setting
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2021-04-02
A principled approach to design using high fidelity fluid-structure interaction simulations
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2020-05-29
Gaussian Process Regression for Estimating EM Ducting Within the Marine Atmospheric Boundary Layer
Christopher J. EarlsProfessor, Civil & Environmental Engr DEPT · EN
2019-10-31
Characterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2019-06-17
Analysis of heterogeneous computing approaches to simulating heat transfer in heterogeneous material
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2019-03-27
A Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN