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A Neural Tangent Kernel Perspective of GANs

A Neural Tangent Kernel Perspective of GANs

10 June 2021
Jean-Yves Franceschi
Emmanuel de Bézenac
Ibrahim Ayed
Mickaël Chen
Sylvain Lamprier
Patrick Gallinari
ArXivPDFHTML

Papers citing "A Neural Tangent Kernel Perspective of GANs"

18 / 18 papers shown
Title
Peer-to-Peer Learning Dynamics of Wide Neural Networks
Peer-to-Peer Learning Dynamics of Wide Neural Networks
Shreyas Chaudhari
Srinivasa Pranav
Emile Anand
José M. F. Moura
39
3
0
23 Sep 2024
On the Convergence Analysis of Over-Parameterized Variational
  Autoencoders: A Neural Tangent Kernel Perspective
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective
Li Wang
Wei Huang
DRL
21
0
0
09 Sep 2024
Equivariant Neural Tangent Kernels
Equivariant Neural Tangent Kernels
Philipp Misof
Pan Kessel
Jan E. Gerken
64
0
0
10 Jun 2024
Emergent Equivariance in Deep Ensembles
Emergent Equivariance in Deep Ensembles
Jan E. Gerken
Pan Kessel
UQCV
MDE
38
6
0
05 Mar 2024
A Theory of Unsupervised Speech Recognition
A Theory of Unsupervised Speech Recognition
Liming Wang
M. Hasegawa-Johnson
Chang D. Yoo
SSL
30
2
0
09 Jun 2023
GANs Settle Scores!
GANs Settle Scores!
Siddarth Asokan
Nishanth Shetty
Aadithya Srikanth
C. Seelamantula
42
0
0
02 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order
  Gradient-regularized GANs Are
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are
Siddarth Asokan
C. Seelamantula
32
4
0
01 Jun 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Jean-Yves Franceschi
Mike Gartrell
Ludovic Dos Santos
Thibaut Issenhuth
Emmanuel de Bezenac
Mickaël Chen
A. Rakotomamonjy
DiffM
18
21
0
25 May 2023
Controlled Descent Training
Controlled Descent Training
Viktor Andersson
B. Varga
Vincent Szolnoky
Andreas Syrén
Rebecka Jörnsten
Balázs Kulcsár
43
1
0
16 Mar 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving
  Data Generation
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Yilin Yang
Kamil Adamczewski
Danica J. Sutherland
Xiaoxiao Li
Mijung Park
33
14
0
03 Mar 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein
  Gradient Flows
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
Mingxuan Yi
Zhanxing Zhu
Song Liu
GAN
29
13
0
02 Feb 2023
Effective Dynamics of Generative Adversarial Networks
Effective Dynamics of Generative Adversarial Networks
S. Durr
Youssef Mroueh
Yuhai Tu
Shenshen Wang
GAN
33
4
0
08 Dec 2022
Instability and Local Minima in GAN Training with Kernel Discriminators
Instability and Local Minima in GAN Training with Kernel Discriminators
Evan Becker
Parthe Pandit
S. Rangan
A. Fletcher
GAN
40
8
0
21 Aug 2022
A Fast, Well-Founded Approximation to the Empirical Neural Tangent
  Kernel
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
Mohamad Amin Mohamadi
Wonho Bae
Danica J. Sutherland
AAML
29
27
0
25 Jun 2022
Fast Finite Width Neural Tangent Kernel
Fast Finite Width Neural Tangent Kernel
Roman Novak
Jascha Narain Sohl-Dickstein
S. Schoenholz
AAML
22
53
0
17 Jun 2022
Single-level Adversarial Data Synthesis based on Neural Tangent Kernels
Single-level Adversarial Data Synthesis based on Neural Tangent Kernels
Yu-Rong Zhang
Ruei-Yang Su
Sheng-Yen Chou
Shan Wu
GAN
15
2
0
08 Apr 2022
There is a Singularity in the Loss Landscape
M. Lowell
16
0
0
12 Jan 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
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