Blending Diverse Physical Priors with Neural Networks

Blending Diverse Physical Priors with Neural Networks

1 October 2019

ArXiv (abs)PDF HTML

Papers citing "Blending Diverse Physical Priors with Neural Networks"

12 / 12 papers shown

Title
Synthetic Video Enhances Physical Fidelity in Video Synthesis Qi Zhao Xingyu Ni Ziyu Wang Feng Cheng Ziyan Yang Lu Jiang Bohan Wang VGen 93 3 0 26 Mar 2025
Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator Emily Black Guangyuan Zhao Daniel E. Ho AI4CE 50 1 0 29 Sep 2023
NSANet: Noise Seeking Attention Network M. Jameela Gunho Sohn 3DPC 53 1 0 26 Feb 2023
Zero-shot Sim2Real Adaptation Across Environments B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh 65 1 0 08 Feb 2023
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging Tzofi Klinghoffer S. Somasundaram Kushagra Tiwary Ramesh Raskar 113 8 0 21 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 71 91 0 13 Apr 2022
Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation Wrik Mallik R. Jaiman J. Jelovica AI4CE 57 3 0 08 Oct 2021
A Framework for Machine Learning of Model Error in Dynamical Systems Matthew E. Levine Andrew M. Stuart 111 69 0 14 Jul 2021
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics Arka Daw M. Maruf Anuj Karpatne AI4CE 88 42 0 06 Jun 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 96 56 0 25 Feb 2021
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions Hendrik Burwinkel H. Matz Stefan Saur Christoph Hauger A. Evren N. Hirnschall O. Findl Nassir Navab Seyed-Ahmad Ahmadi OOD 6 2 0 09 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 414 0 10 Mar 2020