1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
The Vanishing Gradient Problem for Stiff Neural Differential Equations
Colby Fronk, Linda Petzold
Gradient-based optimization of neural differential equations and other parameterized dynamical systems fundamentally relies on the ability to differentiate numerical solutions with…
math.NA2024
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods
Colby Fronk, Linda Petzold
Stiff ordinary differential equations (ODEs) are common in many science and engineering fields, but standard neural ODE approaches struggle to accurately learn these stiff systems,…
math.NA2024★ 1 cited
Performance Evaluation of Single-step Explicit Exponential Integration Methods on Stiff Ordinary Differential Equations
Colby Fronk, Linda Petzold
Stiff systems of ordinary differential equations (ODEs) arise in a wide range of scientific and engineering disciplines and are traditionally solved using implicit integration meth…