Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

19 January 2019

Papers citing "Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks"

50 / 96 papers shown

Title
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models Matthias Höfler Francesco Regazzoni S. Pagani Elias Karabelas Christoph M. Augustin Gundolf Haase Gernot Plank Federica Caforio 29 0 0 06 May 2025
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems Siavash Khodakarami Vivek Oommen Aniruddha Bora George Karniadakis AI4CE 65 2 0 17 Mar 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 77 0 0 05 Mar 2025
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 57 2 0 17 Jan 2025
Learning Epidemiological Dynamics via the Finite Expression Method Jianda Du Senwei Liang Chunmei Wang 46 1 0 31 Dec 2024
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising Yansen Wang Hongyuan Wang Lizhi Wang Xueliang Wang Lin Zhu Wanxuan Lu Hua Huang 84 1 0 21 Dec 2024
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 61 2 0 07 Oct 2024
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks Tianchi Yu Jingwei Qiu Jiang Yang Ivan Oseledets 29 2 0 05 Oct 2024
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases Madison Cooley Varun Shankar Robert M. Kirby Shandian Zhe 32 2 0 04 Oct 2024
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 47 3 0 02 Oct 2024
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems Alejandro Castañeda Garcia Jan van Gemert Daan Brinks Nergis Tömen 38 0 0 02 Oct 2024
On the expressiveness and spectral bias of KANs Yixuan Wang Jonathan W. Siegel Ziming Liu Thomas Y. Hou 40 10 0 02 Oct 2024
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation Qing Wu Chenhe Du Xuanyu Tian Jingyi Yu Yuyao Zhang Hongjiang Wei 36 0 0 25 Sep 2024
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise Yilong Hou Xi’an Li Jinran Wu You-Gan Wang 69 1 0 18 Aug 2024
Deep Learning without Global Optimization by Random Fourier Neural Networks Owen Davis Gianluca Geraci Mohammad Motamed BDL 60 0 0 16 Jul 2024
Model-based learning for multi-antenna multi-frequency location-to-channel mapping Baptiste Chatelier Vincent Corlay M. Crussiére Luc Le Magoarou 31 1 0 17 Jun 2024
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai AI4TS 50 18 0 13 Jun 2024
Quantum Implicit Neural Representations Jiaming Zhao Wenbo Qiao Peng Zhang Hui Gao 55 3 0 06 Jun 2024
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation Madison Cooley Shandian Zhe Robert M. Kirby Varun Shankar 67 1 0 04 Jun 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 103 19 0 04 Mar 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space Zongru Wu Zhuosheng Zhang Pengzhou Cheng Gongshen Liu AAML 49 4 0 19 Feb 2024
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer Joon-Byum Kwon Sooyoung Kim Yuewei Lin Shinjae Yoo Jiook Cha 39 11 0 10 Dec 2023
OceanNet: A principled neural operator-based digital twin for regional oceans Ashesh Chattopadhyay Michael Gray Tianning Wu Anna B. Lowe Ruoying He AI4Cl 27 13 0 01 Oct 2023
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN Weiwen Zhang Dawei Yang Haoxuan Che A. Ran Carol Y. Cheung Hao Chen 25 1 0 29 Sep 2023
Guided Frequency Loss for Image Restoration Bilel Benjdira Anas M. Ali Anis Koubaa 41 2 0 27 Sep 2023
FreeU: Free Lunch in Diffusion U-Net Chenyang Si Ziqi Huang Yuming Jiang Ziwei Liu DiffM 54 132 0 20 Sep 2023
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks Nastaran Darabi A. R. Trivedi 24 0 0 20 Sep 2023
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising Yujin Wang Lingen Li Tianfan Xue Liang Feng DiffM 27 4 0 19 Sep 2023
Learning Specialized Activation Functions for Physics-informed Neural Networks Honghui Wang Lu Lu Shiji Song Gao Huang PINN AI4CE 16 12 0 08 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 33 8 0 31 Jul 2023
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 23 1 0 10 Jul 2023
Probing reaction channels via reinforcement learning Senwei Liang Aditya Singh Yuanran Zhu David T. Limmer Chao Yang 28 6 0 27 May 2023
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon Yi-Xiao Luo Bin Dong 26 0 0 25 May 2023
Understanding the Initial Condensation of Convolutional Neural Networks Zhangchen Zhou Hanxu Zhou Yuqing Li Zhi-Qin John Xu MLT AI4CE 26 5 0 17 May 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 34 0 0 14 Apr 2023
Regularize implicit neural representation by itself Zhemin Li Hongxia Wang Deyu Meng 28 9 0 27 Mar 2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data Guanghui Fu Gabriel Jimenez Sophie Loizillon Lydia Chougar Didier Dormont ... Ninon Burgos Stéphane Lehéricy Daniel Racoceanu O. Colliot the Iceberg Study Group 40 0 0 25 Feb 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum Emmanuel Abbe Samy Bengio Aryo Lotfi Kevin Rizk LRM 41 49 0 30 Jan 2023
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics J. Lazzari Xiuwen Liu 26 3 0 14 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 24 0 0 12 Jan 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 34 4 0 08 Dec 2022
Neural tangent kernel analysis of PINN for advection-diffusion equation M. Saadat B. Gjorgiev L. Das G. Sansavini 35 0 0 21 Nov 2022
Linear Stability Hypothesis and Rank Stratification for Nonlinear Models Yaoyu Zhang Zhongwang Zhang Leyang Zhang Zhiwei Bai Tao Luo Z. Xu 27 6 0 21 Nov 2022
Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field Qing Wu Xin Li Hongjiang Wei Jing-xin Yu Yuyao Zhang 28 5 0 23 Oct 2022
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces Amirali Aghazadeh Nived Rajaraman Tony Tu Kannan Ramchandran 22 2 0 05 Oct 2022
Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography Qing Wu Rui-jun Feng Hongjiang Wei Jing-xin Yu Yuyao Zhang 53 42 0 12 Sep 2022
Efficient Climate Simulation via Machine Learning Method Xin Wang Wei Xue Yilun Han Guangwen Yang AILaw 34 2 0 15 Aug 2022
On the Activation Function Dependence of the Spectral Bias of Neural Networks Q. Hong Jonathan W. Siegel Qinyan Tan Jinchao Xu 34 23 0 09 Aug 2022
Finite Expression Method for Solving High-Dimensional Partial Differential Equations Senwei Liang Haizhao Yang 34 18 0 21 Jun 2022