SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

13 December 2023

Papers citing "SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space"

4 / 4 papers shown

Title
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry Antoine Collas Ce Ju Nicolas Salvy Bertrand Thirion 53 0 0 20 May 2025
A probabilistic view on Riemannian machine learning models for SPD matrices Thibault de Surrel Florian Yger Fabien Lotte Sylvain Chevallier 53 0 0 05 May 2025
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models Hao-Ran Cheng Erjia Xiao Yichi Wang Kaidi Xu Mengshu Sun Jindong Gu Renjing Xu 91 0 0 14 Mar 2025
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 100 6 0 16 Feb 2023