Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators

27 November 2024

Papers citing "Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators"

4 / 4 papers shown

Title
Collapsing Taylor Mode Automatic Differentiation Felix Dangel Tim Siebert Marius Zeinhofer Andrea Walther 7 0 0 19 May 2025
Enabling Automatic Differentiation with Mollified Graph Neural Operators Ryan Y. Lin Julius Berner Valentin Duruisseaux David Pitt Daniel Leibovici Jean Kossaifi Kamyar Azizzadenesheli Anima Anandkumar AI4CE 43 0 0 11 Apr 2025
Adaptive Physics-informed Neural Networks: A Survey Edgar Torres Jonathan Schiefer Mathias Niepert PINN AI4CE 65 0 0 23 Mar 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhengzhang Chen Zhengwu Liu G. Kurczveil R. Beausoleil Shixuan Liu Z. Zhang 56 0 0 17 Feb 2025