4 papers
Score-Based Quickest Change Detection and Fault Identification for Multi-Stream Signals
Wuxia Chen, Sean Moushegian, Vahid Tarokh +1
This paper introduces an approach to multi-stream quickest change detection and fault isolation for unnormalized and score-based statistical models. Traditional optimal algorithms…
Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels
Wuxia Chen, Taposh Banerjee, Vahid Tarokh
We address the problem of quickest change detection in Markov processes with unknown transition kernels. The key idea is to learn the conditional score $\nabla_{\mathbf{y}} \log p(…
A PDE-Informed Latent Diffusion Model for 2-m Temperature Downscaling
Paul Rosu, Muchang Bahng, Erick Jiang +2
This work presents a physics-conditioned latent diffusion model tailored for dynamical downscaling of atmospheric data, with a focus on reconstructing high-resolution 2-m temperatu…
Diffusion-Based Hypothesis Testing and Change-Point Detection
Sean Moushegian, Taposh Banerjee, Vahid Tarokh
Score-based methods have recently seen increasing popularity in modeling and generation. Methods have been constructed to perform hypothesis testing and change-point detection with…