User-defined Event Sampling and Uncertainty Quantification in Diffusion
Models for Physical Dynamical Systems

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

13 June 2023

Anudhyan Boral

Leonardo Zepeda-Núnez

Papers citing "User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems"

6 / 6 papers shown

Title
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos Agnese Marcato Roman Colman Nicholas Lubbers Y. Lin 37 0 0 03 May 2025
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 78 0 0 15 Oct 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao Masatoshi Uehara Gabriele Scalia Tommaso Biancalani Sergey Levine Ehsan Hajiramezanali Ehsan Hajiramezanali AI4CE 52 3 0 17 Jun 2024
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design Kieran Didi Francisco Vargas Simon V. Mathis Vincent Dutordoir Emile Mathieu U. J. Komorowska Pietro Lió DiffM 30 13 0 14 Dec 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 29 0 0 20 Jan 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 213 1,353 0 24 Jan 2022