Joshua Lee Padgett

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Image Denoising

Numerical Algorithms

Operator Splitting

Partial Differential Equations

Top Venues

Comput. Math. Methods

Publications

Julia Ackermann, Arnulf Jentzen, Benno Kuckuck, Joshua Lee Padgett
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for space-time solutions of semilinear partial differential equations. CoRR (2024)
Shakil Rafi, Joshua Lee Padgett, Ukash Nakarmi
Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials. CoRR (2024)
Julia Ackermann, Arnulf Jentzen, Thomas Kruse, Benno Kuckuck, Joshua Lee Padgett
-sense. CoRR (2023)
Tiffany Frugé Jones, Evdokiya Georgieva Kostadinova, Joshua Lee Padgett, Qin Sheng
A series representation of the discrete fractional Laplace operator of arbitrary order. CoRR (2021)
Martin Hutzenthaler, Arnulf Jentzen, Benno Kuckuck, Joshua Lee Padgett
-error analysis of nonlinear Monte Carlo approximations for high-dimensional semilinear partial differential equations. CoRR (2021)
Joshua Lee Padgett, Yusup Geldiyev, Sakshi Gautam, Wenjing Peng, Yehia Mechref, Akif I. Ibraguimov
Object classification in analytical chemistry via data-driven discovery of partial differential equations. Comput. Math. Methods 3 (4) (2021)
Joshua Lee Padgett, Eduardo Servin
A positivity- and monotonicity-preserving nonlinear operator splitting approach for approximating solutions to quenching-combustion semilinear partial differential equations. CoRR (2021)