Scientific Research Publishing

Pereyra, M., Bioucas-Dias, J.M. and Figueiredo, M.A.T. (2016) Variational Bayesian Methods in Signal Processing. IEEE Transactions on Signal Processing, 64, 5376-5391.

ABSTRACT: This study introduces a Hybrid Bimodal Model for Analog-to-Digital (ADC) and Digital-to-Analog (DAC) signal conversions, addressing limitations of traditional systems, such as inefficiencies ...
IEEE

Toward Variational Structural Learning of Bayesian Networks

Abstract: This study presents a novel variational framework for structural learning in Bayesian networks (BNs), addressing the key limitation of existing Bayesian methods: their lack of scalability to ...
ascopubs.org

Targeted-Agent Continual Reassessment Method: A Novel Bayesian Enrichment Design for Phase I Trials of Molecularly Targeted Therapies

Patients were stratified to cohort A (unspecified tumors) or cohort B (rare genomic alterations). The TARGET-CRM design permits cohort B patients to immediately enroll at one dose level below the ...
marktechpost

BONE: A Unifying Machine Learning Framework for Methods that Perform Bayesian Online Learning in Non-Stationary Environments

In this paper, researchers from Queen Mary University of London, UK, University of Oxford, UK, Memorial University of Newfoundland, Canada, and Google DeepMind Moutain View, CA, USA proposed a ...
EDN

GPU-based Implementation of the Variational Path Integral Method

Researched Variational Path Integral method as a team member of the Cyber Chem project group. Implemented one of the flavors of Quantum Monte Carlo method (Variational Path Integral simulation) on ...