2 papers
cs.LG2026
RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation
Ramiro Valdes Jara, David Chapman, Adam Meyers
Multivariate time series imputation (MTSI) aims to recover missing values in temporal data composed of multiple interdependent variables. This problem is central to real-world appl…
cs.LG2026
Geometry-Free Conditional Diffusion Modeling for Solving the Inverse Electrocardiography Problem
Ramiro Valdes Jara, Adam Meyers
This paper proposes a data-driven model for solving the inverse problem of electrocardiography, the mathematical problem that forms the basis of electrocardiographic imaging (ECGI)…