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GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational
  Inference Framework

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework

27 December 2023
Fangyikang Wang
Huminhao Zhu
Chao Zhang
Han Zhao
Hui Qian
ArXivPDFHTML

Papers citing "GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework"

3 / 3 papers shown
Title
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
Jiahang Tu
Wei Ji
Han Zhao
Chao Zhang
Roger Zimmermann
Hui Qian
36
5
0
22 Jul 2024
Rethinking the Diffusion Models for Numerical Tabular Data Imputation
  from the Perspective of Wasserstein Gradient Flow
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow
Zhichao Chen
Haoxuan Li
Fangyikang Wang
Odin Zhang
Hu Xu
Xiaoyu Jiang
Zhihuan Song
Eric H. Wang
DiffM
40
1
0
22 Jun 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through
  Unbalanced Optimal Transport
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
25
6
0
08 Feb 2024
1