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Diffusion bridges vector quantized Variational AutoEncoders

Diffusion bridges vector quantized Variational AutoEncoders

10 February 2022
Max H. Cohen
Guillaume Quispe
Sylvain Le Corff
Charles Ollion
Eric Moulines
    DiffM
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Papers citing "Diffusion bridges vector quantized Variational AutoEncoders"

14 / 14 papers shown
Title
A Complexity-Based Theory of Compositionality
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
56
3
0
18 Oct 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij
Yingheng Wang
Volodymyr Kuleshov
DiffM
30
1
0
05 Jan 2024
Variational excess risk bound for general state space models
Variational excess risk bound for general state space models
Elisabeth Gassiat
Sylvain Le Corff
DRL
16
1
0
15 Dec 2023
Formulating Discrete Probability Flow Through Optimal Transport
Formulating Discrete Probability Flow Through Optimal Transport
Pengze Zhang
Hubery Yin
Chen Li
Xiaohua Xie
OT
28
5
0
07 Nov 2023
Variational latent discrete representation for time series modelling
Variational latent discrete representation for time series modelling
Max H. Cohen
M. Charbit
Sylvain Le Corff
17
1
0
27 Jun 2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and
  Diffusion Bridge
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
Wenhao Guan
Tao Li
Yishuang Li
Hukai Huang
Q. Hong
Lin Li
DiffM
16
6
0
07 Jun 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
Stochastic Segmentation with Conditional Categorical Diffusion Models
L. Zbinden
Lars Doorenbos
Theodoros Pissas
Adrian Thomas Huber
Raphael Sznitman
Pablo Márquez-Neila
DiffM
32
30
0
15 Mar 2023
Score-based Continuous-time Discrete Diffusion Models
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun
Lijun Yu
Bo Dai
Dale Schuurmans
H. Dai
DiffM
14
69
0
30 Nov 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
37
195
0
06 Sep 2022
Convergence of denoising diffusion models under the manifold hypothesis
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
DiffM
14
156
0
10 Aug 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
183
132
0
30 May 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
202
392
0
10 Feb 2021
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,542
0
25 Jan 2016
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