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1806.08734
Cited By
On the Spectral Bias of Neural Networks
22 June 2018
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min-Bin Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
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Papers citing
"On the Spectral Bias of Neural Networks"
50 / 269 papers shown
Title
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis
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06 Nov 2021
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
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Hongsheng Liu
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Zidong Wang
Kan Yang
...
Jing Zhou
Fan Yu
Bei Hua
Lei Chen
Bin Dong
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20
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02 Nov 2021
Dynamic Inference with Neural Interpreters
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Muhammad Waleed Gondal
S. Joshi
Peter V. Gehler
Yoshua Bengio
Francesco Locatello
Bernhard Schölkopf
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12 Oct 2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Amir Hertz
Or Perel
Raja Giryes
O. Sorkine-Hornung
Daniel Cohen-Or
3DH
AI4CE
19
4
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11 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk
Dominique Beaini
Gabriele Corso
Prudencio Tossou
Christian Dallago
Stephan Günnemann
Pietro Lió
AI4CE
36
203
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08 Oct 2021
Multi-Head ReLU Implicit Neural Representation Networks
Arya Aftab
Alireza Morsali
42
11
0
07 Oct 2021
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil
Raphael Gontijo-Lopes
Rebecca Roelofs
41
28
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06 Oct 2021
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
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647
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05 Oct 2021
Improved architectures and training algorithms for deep operator networks
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
52
105
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04 Oct 2021
Neural Knitworks: Patched Neural Implicit Representation Networks
Mikolaj Czerkawski
Javier Cardona
Robert C. Atkinson
W. Michie
I. Andonovic
C. Clemente
Christos Tachtatzis
36
11
0
29 Sep 2021
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation
P. Yeung
L. Hesse
M. Aliasi
Monique C. Haak
the INTERGROWTH-21st Consortium
Weidi Xie
A. Namburete
20
20
0
24 Sep 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks
Jian Cheng Wong
C. Ooi
Abhishek Gupta
Yew-Soon Ong
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20 Sep 2021
Multiple shooting for training neural differential equations on time series
Evren Mert Turan
J. Jäschke
AI4TS
40
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14 Sep 2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
T. Alkhalifah
Hanchen Wang
O. Ovcharenko
OOD
47
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11 Sep 2021
imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose
Thiemo Alldieck
Hongyi Xu
C. Sminchisescu
3DH
43
116
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24 Aug 2021
Data-informed Deep Optimization
Lulu Zhang
Z. Xu
Yaoyu Zhang
AI4CE
32
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17 Jul 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
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16 Jul 2021
On Measuring and Controlling the Spectral Bias of the Deep Image Prior
Prithvijit Chakrabarty
Pascal Mettes
Subhransu Maji
Cees G. M. Snoek
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02 Jul 2021
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
S. Maddu
D. Sturm
Christian L. Müller
I. Sbalzarini
AI4CE
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02 Jul 2021
Structure First Detail Next: Image Inpainting with Pyramid Generator
Shuyi Qu
Zhenxing Niu
Kaizhu Huang
Jianke Zhu
M. Protter
Gadi Zimerman
Yinghui Xu
15
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16 Jun 2021
Long-time integration of parametric evolution equations with physics-informed DeepONets
Sizhuang He
P. Perdikaris
AI4CE
24
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09 Jun 2021
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields
Peng-Shuai Wang
Yang Liu
Yu-Qi Yang
Xin Tong
3DPC
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03 Jun 2021
A neural anisotropic view of underspecification in deep learning
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I. Salazar-Reque
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Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
34
6
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29 Apr 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Amir Hertz
Or Perel
Raja Giryes
O. Sorkine-Hornung
Daniel Cohen-Or
28
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19 Apr 2021
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar
Ankit Srivastava
PINN
AI4CE
41
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17 Apr 2021
COTR: Correspondence Transformer for Matching Across Images
Wei Jiang
Eduard Trulls
J. Hosang
Andrea Tagliasacchi
K. M. Yi
ViT
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258
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25 Mar 2021
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
Q. Du
Yiqi Gu
Haizhao Yang
Chao Zhou
26
20
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21 Mar 2021
Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses
Jing Jin
Mantang Guo
Junhui Hou
Hui Liu
H. Xiong
16
6
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14 Feb 2021
Fighting deepfakes by detecting GAN DCT anomalies
O. Giudice
Luca Guarnera
Sebastiano Battiato
28
86
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24 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Y. Fu
Haoran You
Yang Katie Zhao
Yue Wang
Chaojian Li
K. Gopalakrishnan
Zhangyang Wang
Yingyan Lin
MQ
35
32
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24 Dec 2020
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sizhuang He
Hanwen Wang
P. Perdikaris
131
438
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18 Dec 2020
Object-Centric Neural Scene Rendering
Michelle Guo
Alireza Fathi
Jiajun Wu
Thomas Funkhouser
30
104
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15 Dec 2020
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
27
89
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09 Dec 2020
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning
Tao Luo
Zheng Ma
Zhiwei Wang
Zhi-Qin John Xu
Yaoyu Zhang
OOD
44
4
0
06 Dec 2020
Unsupervised part representation by Flow Capsules
S. Sabour
Andrea Tagliasacchi
S. Yazdani
Geoffrey E. Hinton
David J. Fleet
3DPC
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37
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27 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki
Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
50
257
0
18 Nov 2020
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio
Prateek Gupta
Tegan Maharaj
Nasim Rahaman
Martin Weiss
...
Irina Rish
Bernhard Schölkopf
Abhinav Sharma
Jian Tang
Andrew Robert Williams
37
15
0
23 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
18
45
0
04 Oct 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Yihao Huang
Felix Juefei Xu
Qing-Wu Guo
Yang Liu
G. Pu
33
20
0
19 Sep 2020
Whitening and second order optimization both make information in the dataset unusable during training, and can reduce or prevent generalization
Neha S. Wadia
Daniel Duckworth
S. Schoenholz
Ethan Dyer
Jascha Narain Sohl-Dickstein
27
13
0
17 Aug 2020
Neural Reflectance Fields for Appearance Acquisition
Sai Bi
Zexiang Xu
Pratul P. Srinivasan
B. Mildenhall
Kalyan Sunkavalli
Milovs Havsan
Yannick Hold-Geoffroy
D. Kriegman
R. Ramamoorthi
3DH
15
239
0
09 Aug 2020
When and why PINNs fail to train: A neural tangent kernel perspective
Sizhuang He
Xinling Yu
P. Perdikaris
33
878
0
28 Jul 2020
Explicit Regularisation in Gaussian Noise Injections
A. Camuto
M. Willetts
Umut Simsekli
Stephen J. Roberts
Chris Holmes
23
55
0
14 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
75
864
0
05 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
60
2,344
0
18 Jun 2020
Neural Anisotropy Directions
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
31
16
0
17 Jun 2020
On the training dynamics of deep networks with
L
2
L_2
L
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regularization
Aitor Lewkowycz
Guy Gur-Ari
36
53
0
15 Jun 2020
Towards Frequency-Based Explanation for Robust CNN
Zifan Wang
Yilin Yang
Ankit Shrivastava
Varun Rawal
Zihao Ding
AAML
FAtt
13
47
0
06 May 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal
Levi Melnick
Nicholas Frosst
Xuezhou Zhang
Ben Lengerich
R. Caruana
Geoffrey E. Hinton
46
405
0
29 Apr 2020
Predicting the outputs of finite deep neural networks trained with noisy gradients
Gadi Naveh
Oded Ben-David
H. Sompolinsky
Z. Ringel
11
20
0
02 Apr 2020
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