Modeling Temporal Data as Continuous Functions with Stochastic Process
Diffusion

Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

4 November 2022

Anderson Schneider

Yuriy Nevmyvaka

Stephan Günnemann

Papers citing "Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion"

8 / 8 papers shown

Title
Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting Kazi Ashik Islam Zakaria Mehrab Mahantesh Halappanavar H. Mortveit Sridhar Katragadda Jon Derek Loftis Madhav V. Marathe DiffM AI4CE 37 0 0 08 May 2025
TRADES: Generating Realistic Market Simulations with Diffusion Models Leonardo Berti Bardh Prenkaj Paola Velardi DiffM 81 1 0 31 Jan 2025
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Ludke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 32 3 0 03 Oct 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 45 3 0 31 May 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Wei Cao Keli Zhang Wenjia Wang Yuxuan Liang Qingsong Wen Yuxuan Liang Qingsong Wen AI4TS BDL SyDa 38 36 0 06 Feb 2024
Spectral Diffusion Processes Angus Phillips Thomas Seror M. Hutchinson Valentin De Bortoli Arnaud Doucet Emile Mathieu DiffM 50 14 0 28 Sep 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 183 172 0 26 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process Zhaoyang Lyu Xu Xudong Ceyuan Yang Dahua Lin Bo Dai DiffM 193 92 0 25 May 2022