Particle-based Variational Inference with Preconditioned Functional
Gradient Flow

Particle-based Variational Inference with Preconditioned Functional Gradient Flow

25 November 2022

Yong Lin

Tong Zhang

Papers citing "Particle-based Variational Inference with Preconditioned Functional Gradient Flow"

19 / 19 papers shown

Title
Path-Guided Particle-based Sampling Mingzhou Fan Ruida Zhou C. Tian Xiaoning Qian 61 4 0 04 Dec 2024
Functional Gradient Flows for Constrained Sampling Shiyue Zhang Longlin Yu Ziheng Cheng Cheng Zhang 24 0 0 30 Oct 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 42 1 0 30 Oct 2024
Kernel Approximation of Fisher-Rao Gradient Flows Jia Jie Zhu Alexander Mielke 31 5 0 27 Oct 2024
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 35 0 0 22 Jun 2024
GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion Trapoom Ukarapol Kevin Pruvost 3DGS 42 2 0 14 Jun 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 16 2 0 29 May 2024
Faster Sampling via Stochastic Gradient Proximal Sampler Xunpeng Huang Difan Zou Yian Ma Hanze Dong Tong Zhang 36 0 0 27 May 2024
Retrieval-Augmented Score Distillation for Text-to-3D Generation Junyoung Seo Susung Hong Wooseok Jang Ines Hyeonsu Kim Minseop Kwak Doyup Lee Seungryong Kim 54 9 0 05 Feb 2024
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow Ziheng Cheng Shiyue Zhang Longlin Yu Cheng Zhang BDL 6 6 0 25 Oct 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 33 0 0 25 Oct 2023
Reverse Diffusion Monte Carlo Xunpeng Huang Hanze Dong Yi Hao Yi-An Ma Tong Zhang DiffM 19 12 0 05 Jul 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang Cheng Lu Yikai Wang Fan Bao Chongxuan Li Hang Su Jun Zhu DiffM 20 518 0 25 May 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 15 23 0 19 May 2023
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels Fabian Altekrüger J. Hertrich Gabriele Steidl 14 13 0 27 Jan 2023
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization Yifei Wang Peng Chen Mert Pilanci Wuchen Li 17 8 0 26 May 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 63 54 0 04 Dec 2021
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 53 114 0 08 Jun 2018
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 86 324 0 09 Feb 2016