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
A probabilistic view on Riemannian machine learning models for SPD matrices Thibault de Surrel Florian Yger Fabien Lotte Sylvain Chevallier 29 0 0 05 May 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 28 6 0 16 Feb 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 142 412 0 04 Oct 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 233 1,355 0 24 Jan 2022