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Probabilistic Autoencoder

Probabilistic Autoencoder

9 June 2020
Vanessa Böhm
U. Seljak
    UQCV
    BDL
    DRL
ArXivPDFHTML

Papers citing "Probabilistic Autoencoder"

15 / 15 papers shown
Title
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion
  Probabilistic Models
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
Joseph Goodier
Neill D.F. Campbell
DiffM
43
6
0
26 Oct 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
21
6
0
04 Aug 2023
Lifting Architectural Constraints of Injective Flows
Lifting Architectural Constraints of Injective Flows
Peter Sorrenson
Felix Dräxler
Armand Rousselot
Sander Hummerich
Leandro Zimmerman
Ullrich Kothe
TPM
AI4CE
26
8
0
02 Jun 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning
VTAE: Variational Transformer Autoencoder with Manifolds Learning
Pourya Shamsolmoali
Masoumeh Zareapoor
Huiyu Zhou
Dacheng Tao
Xuelong Li
DRL
30
11
0
03 Apr 2023
Interpretable Fake News Detection with Topic and Deep Variational Models
Interpretable Fake News Detection with Topic and Deep Variational Models
Marjan Hosseini
Alireza Javadian Sabet
Suining He
Derek Aguiar
19
20
0
04 Sep 2022
Deterministic training of generative autoencoders using invertible
  layers
Deterministic training of generative autoencoders using invertible layers
Gianluigi Silvestri
Daan Roos
L. Ambrogioni
TPM
21
2
0
19 May 2022
Autoencoder Attractors for Uncertainty Estimation
Autoencoder Attractors for Uncertainty Estimation
S. Cruz
B. Taetz
Thomas Stifter
D. Stricker
UQCV
36
9
0
01 Apr 2022
Styleformer: Transformer based Generative Adversarial Networks with
  Style Vector
Styleformer: Transformer based Generative Adversarial Networks with Style Vector
Jeeseung Park
Younggeun Kim
ViT
29
48
0
13 Jun 2021
Model Selection for Bayesian Autoencoders
Model Selection for Bayesian Autoencoders
Ba-Hien Tran
Simone Rossi
Dimitrios Milios
Pietro Michiardi
Edwin V. Bonilla
Maurizio Filippone
BDL
23
12
0
11 Jun 2021
Latent Space Refinement for Deep Generative Models
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDL
GAN
DRL
DiffM
10
27
0
01 Jun 2021
Classification and Uncertainty Quantification of Corrupted Data using
  Semi-Supervised Autoencoders
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
Philipp Joppich
S. Dorn
Oliver De Candido
Wolfgang Utschick
Jakob Knollmuller
25
1
0
27 May 2021
Unsupervised in-distribution anomaly detection of new physics through
  conditional density estimation
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation
G. Stein
U. Seljak
B. Dai
11
33
0
21 Dec 2020
Tractable loss function and color image generation of multinary
  restricted Boltzmann machine
Tractable loss function and color image generation of multinary restricted Boltzmann machine
Juno Hwang
Wonseok Hwang
Junghyo Jo
MQ
20
0
0
27 Nov 2020
Sliced Iterative Normalizing Flows
Sliced Iterative Normalizing Flows
B. Dai
U. Seljak
8
36
0
01 Jul 2020
Detection and Mitigation of Rare Subclasses in Deep Neural Network
  Classifiers
Detection and Mitigation of Rare Subclasses in Deep Neural Network Classifiers
Colin Paterson
R. Calinescu
Chiara Picardi
23
4
0
28 Nov 2019
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