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$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's
  t and Power Divergence
v1v2 (latest)

t3t^3t3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence

2 December 2023
Juno Kim
Jaehyuk Kwon
Mincheol Cho
Hyunjong Lee
Joong-Ho Won
ArXiv (abs)PDFHTML

Papers citing "$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence"

23 / 23 papers shown
Title
Likelihood-Free Variational Autoencoders
Likelihood-Free Variational Autoencoders
Chen Xu
Qiang Wang
Lijun Sun
DiffMDRL
183
0
0
24 Apr 2025
Marginal Tail-Adaptive Normalizing Flows
Marginal Tail-Adaptive Normalizing Flows
M. Laszkiewicz
Johannes Lederer
Asja Fischer
MedIm
50
8
0
21 Jun 2022
Hierarchical VAEs Know What They Don't Know
Hierarchical VAEs Know What They Don't Know
Jakob Drachmann Havtorn
J. Frellsen
Søren Hauberg
Lars Maaløe
DRL
69
74
0
16 Feb 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them
  on Images
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDLVLM
184
352
0
20 Nov 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
77
915
0
08 Jul 2020
Robust model training and generalisation with Studentising flows
Robust model training and generalisation with Studentising flows
Simon Alexanderson
G. Henter
OOD
34
14
0
11 Jun 2020
Variational auto-encoders with Student's t-prior
Variational auto-encoders with Student's t-prior
N. Abiri
Mattias Ohlsson
DRL
34
13
0
06 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
510
10,591
0
17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
541
42,591
0
03 Dec 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
127
1,607
0
18 Jun 2019
Dirichlet Variational Autoencoder
Dirichlet Variational Autoencoder
Weonyoung Joo
Wonsung Lee
Sungrae Park
Il-Chul Moon
BDLDRL
114
104
0
09 Jan 2019
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRLBDL
114
384
0
03 Apr 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
64
1,356
0
16 Feb 2018
Variational Inference based on Robust Divergences
Variational Inference based on Robust Divergences
Futoshi Futami
Issei Sato
Masashi Sugiyama
BDLOOD
84
67
0
18 Oct 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
68
635
0
19 May 2017
Nonparametric Variational Auto-encoders for Hierarchical Representation
  Learning
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
Prasoon Goyal
Zhiting Hu
Xiaodan Liang
Chenyu Wang
Eric Xing
CMLBDL
69
117
0
21 Mar 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
77
658
0
08 Nov 2016
Stick-Breaking Variational Autoencoders
Stick-Breaking Variational Autoencoders
Marco Cote
Padhraic Smyth
BDLDRL
120
163
0
20 May 2016
On the Conditional Distribution of the Multivariate $t$ Distribution
On the Conditional Distribution of the Multivariate ttt Distribution
Peng Ding
30
86
0
02 Apr 2016
Rényi Divergence Variational Inference
Rényi Divergence Variational Inference
Yingzhen Li
Richard Turner
BDL
109
263
0
06 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
99
915
0
06 Feb 2016
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
318
4,196
0
21 May 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,426
0
28 Nov 2014
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