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Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

S. Mbacke
Florence Clerc
Pascal Germain
    DRL
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Papers citing "Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory"

6 / 6 papers shown
Title
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Mehdi Hennequin
Abdelkrim Zitouni
K. Benabdeslem
H. Elghazel
Yacine Gaci
28
0
0
09 Nov 2024
Embodied Active Learning of Generative Sensor-Object Models
Embodied Active Learning of Generative Sensor-Object Models
Allison Pinosky
Todd D. Murphey
LM&Ro
26
1
0
14 Oct 2024
A Markov Random Field Multi-Modal Variational AutoEncoder
A Markov Random Field Multi-Modal Variational AutoEncoder
Fouad Oubari
M. Baha
Raphael Meunier
Rodrigue Décatoire
Mathilde Mougeot
36
0
0
18 Aug 2024
On the Convergence of the ELBO to Entropy Sums
On the Convergence of the ELBO to Entropy Sums
Jörg Lücke
Jan Warnken
31
3
0
07 Sep 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
47
17
0
23 Feb 2022
Statistical guarantees for generative models without domination
Statistical guarantees for generative models without domination
Nicolas Schreuder
Victor-Emmanuel Brunel
A. Dalalyan
GAN
65
34
0
19 Oct 2020