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Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
30 September 2024
Hongkai Zheng
Wenda Chu
Austin Wang
Nikola B. Kovachki
Ricardo Baptista
Yisong Yue
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Papers citing
"Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems"
5 / 5 papers shown
Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors
Hongkai Zheng
Austin Wang
Zihui Wu
Zhengyu Huang
Ricardo Baptista
Yisong Yue
273
0
0
13 Oct 2025
DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models
Yinuo Ren
Wenhao Gao
Lexing Ying
Grant M. Rotskoff
Jiequn Han
250
9
0
25 Sep 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen
Yinuo Ren
Martin Renqiang Min
Lexing Ying
Zachary Izzo
DiffM
MedIm
541
15
0
04 Jun 2025
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu
Zihui Wu
Yifan Chen
Yang Song
Yisong Yue
545
11
0
03 Mar 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Computer Vision and Pattern Recognition (CVPR), 2024
Won Jun Kim
Hyungjin Chung
Jaemin Kim
Sangmin Lee
Byeongsu Sim
Jong Chul Ye
DiffM
589
2
0
22 Nov 2024
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