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06/08/2023
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
This paper presents a novel approach to Bayesian nonparametric spectral ...
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03/21/2023
Bayesian nonparametric spectral analysis of locally stationary processes
Based on a novel dynamic Whittle likelihood approximation for locally st...
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02/27/2023
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model
Automatic Speech Recognition (ASR) is a technology that converts spoken ...
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01/08/2023
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Motion artifact reduction is one of the important research topics in MR ...
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08/10/2022
Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation
Recent advances in vision-language pre-training have demonstrated astoun...
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01/24/2022
Valid belief updates for prequentially additive loss functions arising in Semi-Modular Inference
Model-based Bayesian evidence combination leads to models with multiple ...
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06/01/2021
Solutions of the Multivariate Inverse Frobenius–Perron Problem
We address the inverse Frobenius–Perron problem: given a prescribed targ...
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03/01/2021
Posterior consistency for the spectral density of non-Gaussian stationary time series
Various nonparametric approaches for Bayesian spectral density estimatio...
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12/27/2020
Tree based credible set estimation
Estimating a joint Highest Posterior Density credible set for a multivar...
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11/12/2020
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
Recently, deep learning approaches for MR motion artifact correction hav...
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06/19/2020
Distortion estimates for approximate Bayesian inference
Current literature on posterior approximation for Bayesian inference off...
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10/15/2018