Publications

2026

  1. baptista2026rough.png
    Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks
    R. Baptista, E. Calvello, M. Darcy, and 3 more authors
    Mathematics of Computation, 2026
  2. yang2025functional-eq.png
    Solving Functional PDEs with Gaussian Processes and Applications to Functional Renormalization Group Equations
    X. Yang, M. Darcy, M. Hudes, and 3 more authors
    Journal of Computational Physics, 2026
  3. bacho2025machine-v2.png
    Operator Learning at Machine Precision
    A. Bacho, A. Sorokin, X. Yang, and 6 more authors
    Journal of Computational Physics, 2026

2025

  1. Benchmarking Gaussian Processes for Prediction and Data Assimilation of Alzheimer’s Disease Progression
    P. Batlle, M. Darcy, M. Levine, and 6 more authors
    Journal of Alzheimer’s Disease, 2025
  2. darcy2025kernelflows.png
    Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part II: Nonparametric Kernel Flows
    M. Darcy, B. Hamzi, J. Susiluoto, and 2 more authors
    Physica D: Nonlinear Phenomena, 2025

2024

  1. batlle2024kernel-v2.png
    Kernel Methods are Competitive for Operator Learning
    P. Batlle, M. Darcy, B. Hosseini, and 1 more author
    Journal of Computational Physics, 2024

2023

  1. darcy2023oneshot.png
    One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
    M. Darcy, B. Hamzi, G. Livieri, and 2 more authors
    Physica D: Nonlinear Phenomena, 2023