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Failure Modes of Variational Autoencoders and Their Effects on
  Downstream Tasks

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

14 July 2020
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
    CML
    DRL
ArXivPDFHTML

Papers citing "Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks"

14 / 14 papers shown
Title
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
Lluís Palma
Alejandro Peraza
David Civantos
Amanda Duarte
Stefano Materia
Ángel G. Muñoz
Jesús Peña
Laia Romero
Albert Soret
Markus G. Donat
AI4TS
53
0
0
26 Mar 2025
Physics and Deep Learning in Computational Wave Imaging
Physics and Deep Learning in Computational Wave Imaging
Youzuo Lin
Shihang Feng
J. Theiler
Yinpeng Chen
Umberto Villa
Jing Rao
John Greenhall
Cristian Pantea
M. Anastasio
B. Wohlberg
31
0
0
10 Oct 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate
  Variational Autoencoders
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
18
0
0
13 Mar 2024
A Modular System for Enhanced Robustness of Multimedia Understanding
  Networks via Deep Parametric Estimation
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation
F. Barbato
Umberto Michieli
Mehmet Karim Yucel
Pietro Zanuttigh
Mete Ozay
23
2
0
28 Feb 2024
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing
  Equations
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations
Mozes Jacobs
Bingni W. Brunton
Steven L. Brunton
J. Nathan Kutz
Ryan V. Raut
11
8
0
07 Oct 2023
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation
  Learning for Artistic Images using Fuzzy Techniques
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques
Javier Fumanal-Idocin
Javier Andreu-Perez
O. Cordón
H. Hagras
H. Bustince
25
7
0
29 Aug 2023
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics
Peter Kowalczyk
Giacomo Welsch
Frédéric Thiesse
28
2
0
05 Dec 2022
Identifiability of deep generative models without auxiliary information
Identifiability of deep generative models without auxiliary information
Bohdan Kivva
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
DRL
18
48
0
20 Jun 2022
The Deep Generative Decoder: MAP estimation of representations improves
  modeling of single-cell RNA data
The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data
Viktoria Schuster
A. Krogh
19
4
0
13 Oct 2021
Challenging the Semi-Supervised VAE Framework for Text Classification
Challenging the Semi-Supervised VAE Framework for Text Classification
G. Felhi
Joseph Le Roux
Djamé Seddah
BDL
16
2
0
27 Sep 2021
Unsupervised Learning of Disentangled Speech Content and Style
  Representation
Unsupervised Learning of Disentangled Speech Content and Style Representation
Andros Tjandra
Ruoming Pang
Yu Zhang
Shigeki Karita
BDL
DRL
15
15
0
24 Oct 2020
Controlling the Interaction Between Generation and Inference in
  Semi-Supervised Variational Autoencoders Using Importance Weighting
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
16
1
0
13 Oct 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled
  Representations
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
Jan Stühmer
Richard E. Turner
Sebastian Nowozin
DRL
BDL
CoGe
109
25
0
05 Sep 2019
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
196
223
0
23 Sep 2016
1