Proximal Algorithms for Accelerated Langevin Dynamics

no code implementations • 24 Nov 2023 • Duy H. Thai, Alexander L. Young, David B. Dunson

We develop a novel class of MCMC algorithms based on a stochastized Nesterov scheme.

Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform

1 code implementation • 23 Aug 2023 • Abu Hasnat Mohammad Rubaiyat, Duy H. Thai, Jonathan M. Nichols, Meredith N. Hutchinson, Samuel P. Wallen, Christina J. Naify, Nathan Geib, Michael R. Haberman, Gustavo K. Rohde

This paper presents a novel data-driven approach to identify partial differential equation (PDE) parameters of a dynamical system.

regression

Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising

1 code implementation • 25 Aug 2022 • Duy H. Thai, Xiqi Fei, Minh Tri Le, Andreas Züfle, Konrad Wessels

Combining both approaches, we introduce a hybrid RQUNet-VAE scheme for image and time series decomposition used to reduce noise in satellite imagery.

Image Denoising Image Segmentation +3

Generalized Intersection Algorithms with Fixpoints for Image Decomposition Learning

no code implementations • 16 Oct 2020 • Robin Richter, Duy H. Thai, Stephan F. Huckemann

In image processing, classical methods minimize a suitable functional that balances between computational feasibility (convexity of the functional is ideal) and suitable penalties reflecting the desired image decomposition.

Denoising