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Variational Potential Flow: A Novel Probabilistic Framework for
  Energy-Based Generative Modelling

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling

21 July 2024
Junn Yong Loo
Michelle Adeline
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
    DiffM
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Papers citing "Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling"

4 / 4 papers shown
Title
Guiding Energy-based Models via Contrastive Latent Variables
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee
Jongheon Jeong
Sejun Park
Jinwoo Shin
BDL
21
14
0
06 Mar 2023
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Mitch Hill
Erik Nijkamp
Jonathan Mitchell
Bo Pang
Song-Chun Zhu
53
11
0
29 Oct 2022
Poisson Flow Generative Models
Poisson Flow Generative Models
Yilun Xu
Ziming Liu
M. Tegmark
Tommi Jaakkola
82
81
0
22 Sep 2022
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
184
259
0
07 Jan 2021
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