Quadratic Residual Networks: A New Class of Neural Networks for Solving
Forward and Inverse Problems in Physics Involving PDEs

Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

20 January 2021

Anuj Karpatne

Papers citing "Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs"

11 / 11 papers shown

Title
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Sophie Fellenz Sophie Fellenz 3DPC PINN 46 0 0 30 Sep 2024
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks Feng-Lei Fan Meng Wang Hang Dong Jianwei Ma Tieyong Zeng 40 0 0 03 May 2024
PAON: A New Neuron Model using Padé Approximants Onur Keleş A. Murat Tekalp 38 1 0 18 Mar 2024
Learning to Predict Structural Vibrations J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 26 1 0 09 Oct 2023
Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones Chongmin Liu Songting Li Douglas Zhou 18 0 0 25 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 35 0 0 13 May 2023
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks Fenglei Fan Hangcheng Dong Zhongming Wu Lecheng Ruan T. Zeng Yiming Cui Jing-Xiao Liao 59 8 0 11 Mar 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 51 4 0 10 Feb 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei-Yue Wang 22 5 0 23 Jan 2023
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration Zirui Xu Fuxun Yu Jinjun Xiong Xiang Chen 33 23 0 01 Apr 2022
Respecting causality is all you need for training physics-informed neural networks Sifan Wang Shyam Sankaran P. Perdikaris PINN CML AI4CE 37 199 0 14 Mar 2022