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On Deep Generative Models for Approximation and Estimation of
  Distributions on Manifolds

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

25 February 2023
Biraj Dahal
Alex Havrilla
Minshuo Chen
Tuo Zhao
Wenjing Liao
    GAN
ArXivPDFHTML

Papers citing "On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds"

4 / 4 papers shown
Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models
Shinnosuke Saito
Takashi Matsubara
DiffM
82
1
0
28 Apr 2025
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
85
114
0
28 Feb 2021
Statistical guarantees for generative models without domination
Statistical guarantees for generative models without domination
Nicolas Schreuder
Victor-Emmanuel Brunel
A. Dalalyan
GAN
54
34
0
19 Oct 2020
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
229
0
02 May 2018
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