709 citations · 4k across the 65 of their papers we have counts for
74 papers
Neural posterior estimation of Galactic Binary signals for the LISA mission
Tanguy Delmond, Natalia Korsakova, Thomas Oberlin +3
ESA's LISA mission will open a new window onto the gravitational-wave sky by detecting signals from a wide variety of sources in the millihertz frequency band. Among these, galacti…
Determined blind source separation via modeling adjacent frequency band correlations in speech signals
Jianyu Wang, Shanzheng Guan, Zhengqiao Zhao +2
Multichannel blind source separation (MBSS), which focuses on separating signals of interest from mixed observations, has been extensively studied in acoustic and speech processing…
Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering
Jianyu Wang, Zhengqiao Zhao, Nicolas Dobigeon +1
Incomplete multiview clustering (IMVC) has gained significant attention for its effectiveness in handling missing sample challenges across various views in real-world multiview clu…
Determined Blind Source Separation with Sinkhorn Divergence-based Optimal Allocation of the Source Power
Jianyu Wang, Shanzheng Guan, Nicolas Dobigeon +1
Blind source separation (BSS) refers to the process of recovering multiple source signals from observations recorded by an array of sensors. Common approaches to BSS, including ind…
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling
Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon
This paper introduces a Bayesian framework for image inversion by deriving a probabilistic counterpart to the regularization-by-denoising (RED) paradigm. It additionally implements…
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising
Min Zhao, Jie Chen, Nicolas Dobigeon
Spectral unmixing has been extensively studied with a variety of methods and used in many applications. Recently, data-driven techniques with deep learning methods have obtained gr…