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cs.LG2024★ 1 cited
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems
Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen +1
This paper explores the efficacy of diffusion-based generative models as neural operators for partial differential equations (PDEs). Neural operators are neural networks that learn…
cs.LG2023★ 1 cited
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series
Onur Poyraz, Pekka Marttinen
Analysis of multivariate healthcare time series data is inherently challenging: irregular sampling, noisy and missing values, and heterogeneous patient groups with different dynami…