Coercing Machine Learning to Output Physically Accurate Results

21 October 2019

Papers citing "Coercing Machine Learning to Output Physically Accurate Results"

5 / 5 papers shown

Title
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control Dan Johnson Ronald Fedkiw AI4CE 21 2 0 21 Jun 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 16 1 0 10 Mar 2023
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data Mengyu Chu Lingjie Liu Q. Zheng Erik Franz Hans-Peter Seidel Christian Theobalt Rhaleb Zayer AI4CE 26 53 0 14 Jun 2022
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 10 635 0 28 Oct 2019
A Pixel-Based Framework for Data-Driven Clothing Ning Jin Yilin Zhu Z. Geng Ronald Fedkiw 3DH 26 63 0 03 Dec 2018