ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.05275
  4. Cited By
Tractable Density Estimation on Learned Manifolds with Conformal
  Embedding Flows

Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows

9 June 2021
Brendan Leigh Ross
Jesse C. Cresswell
    TPM
ArXivPDFHTML

Papers citing "Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows"

13 / 13 papers shown
Title
Analyzing Generative Models by Manifold Entropic Metrics
Analyzing Generative Models by Manifold Entropic Metrics
Daniel Galperin
Ullrich Köthe
DRL
16
0
0
25 Oct 2024
Canonical normalizing flows for manifold learning
Canonical normalizing flows for manifold learning
Kyriakos Flouris
E. Konukoglu
DRL
46
7
0
19 Oct 2023
Out-of-distribution detection using normalizing flows on the data manifold
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
35
0
0
26 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
13
6
0
04 Aug 2023
Injectivity of ReLU networks: perspectives from statistical physics
Injectivity of ReLU networks: perspectives from statistical physics
Antoine Maillard
Afonso S. Bandeira
David Belius
Ivan Dokmanić
S. Nakajima
23
4
0
27 Feb 2023
Deep Injective Prior for Inverse Scattering
Deep Injective Prior for Inverse Scattering
AmirEhsan Khorashadizadeh
Vahid Khorashadi-Zadeh
Sepehr Eskandari
Guy A. E. Vandenbosch
Ivan Dokmanić
13
6
0
08 Jan 2023
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk
Rafał Michaluk
Łukasz Garncarek
Przemysław Spurek
Jacek Tabor
Adam Goliñski
33
26
0
29 Jun 2022
Flowification: Everything is a Normalizing Flow
Flowification: Everything is a Normalizing Flow
Bálint Máté
Samuel Klein
T. Golling
Franccois Fleuret
10
3
0
30 May 2022
Conditional Injective Flows for Bayesian Imaging
Conditional Injective Flows for Bayesian Imaging
AmirEhsan Khorashadizadeh
K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
MedIm
16
16
0
15 Apr 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
262
10,320
0
12 Dec 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
347
0
14 Jun 2018
Optimization on Submanifolds of Convolution Kernels in CNNs
Optimization on Submanifolds of Convolution Kernels in CNNs
Mete Ozay
Takayuki Okatani
43
46
0
22 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
1