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Coercing Machine Learning to Output Physically Accurate Results

Coercing Machine Learning to Output Physically Accurate Results

21 October 2019
Z. Geng
Dan Johnson
Ronald Fedkiw
    3DH
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Papers citing "Coercing Machine Learning to Output Physically Accurate Results"

3 / 3 papers shown
Title
Addressing Discontinuous Root-Finding for Subsequent Differentiability
  in Machine Learning, Inverse Problems, and Control
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control
Dan Johnson
Ronald Fedkiw
AI4CE
18
2
0
21 Jun 2023
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
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
A Pixel-Based Framework for Data-Driven Clothing
A Pixel-Based Framework for Data-Driven Clothing
Ning Jin
Yilin Zhu
Z. Geng
Ronald Fedkiw
3DH
26
63
0
03 Dec 2018
1