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2102.07757
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How Convolutional Neural Networks Deal with Aliasing
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
15 February 2021
Antônio H. Ribeiro
Thomas B. Schon
SupR
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Papers citing
"How Convolutional Neural Networks Deal with Aliasing"
8 / 8 papers shown
SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration
Haodong Wang
Tao Zhuo
Xiuwei Zhang
Hanlin Yin
Wencong Wu
Yanning Zhang
57
0
0
17 Nov 2025
Wavehax: Aliasing-Free Neural Waveform Synthesis Based on 2D Convolution and Harmonic Prior for Reliable Complex Spectrogram Estimation
Reo Yoneyama
Atsushi Miyashita
Ryuichi Yamamoto
Tomoki Toda
268
4
0
11 Nov 2024
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
P. Wankhede
M. Das
Deep Gupta
Petia Radeva
Ashwini M. Bakde
MedIm
130
2
0
18 Oct 2023
Towards Stability of Autoregressive Neural Operators
Michael McCabe
P. Harrington
Shashank Subramanian
Jed Brown
AI4CE
413
35
0
18 Jun 2023
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
323
89
0
30 Jan 2023
Aliasing is a Driver of Adversarial Attacks
Adrian Rodriguez-Munoz
Antonio Torralba
AAML
142
1
0
22 Dec 2022
The Lie Derivative for Measuring Learned Equivariance
International Conference on Learning Representations (ICLR), 2022
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
283
52
0
06 Oct 2022
Learning strides in convolutional neural networks
International Conference on Learning Representations (ICLR), 2022
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
162
49
0
03 Feb 2022
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