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07/26/2023
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum
Wide neural networks are biased towards learning certain functions, infl...
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11/27/2022
A Kernel Perspective of Skip Connections in Convolutional Networks
Over-parameterized residual networks (ResNets) are amongst the most succ...
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03/17/2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
We study the properties of various over-parametrized convolutional neura...
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04/07/2021
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
Deep residual network architectures have been shown to achieve superior ...
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07/03/2020
On the Similarity between the Laplace and Neural Tangent Kernels
Recent theoretical work has shown that massively overparameterized neura...
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03/10/2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Recent works have partly attributed the generalization ability of over-p...
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11/30/2019
Averaging Essential and Fundamental Matrices in Collinear Camera Settings
Global methods to Structure from Motion have gained popularity in recent...
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04/04/2019
Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings
Essential matrix averaging, i.e., the task of recovering camera location...
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12/02/2018
