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A spatial-correlated multitask linear mixed-effects model for imaging genetics
预印本
2024
作者:
Pu, Zhibin
;
Ge, Shufei
Adobe PDF(2943Kb)
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浏览/下载:137/0
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提交时间:2024/08/14
Imaging genetics
Linear mixed-effects model
spatial dependency
Bayesian inference
Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 504
作者:
Xu, Zhihang
;
Liao, Qifeng
;
Li, Jinglai
Adobe PDF(1315Kb)
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浏览/下载:395/59
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提交时间:2024/04/26
Bayesian networks
Domain decomposition methods
Inference engines
Markov processes
Monte Carlo methods
Numerical methods
Bayesian inference
Bayesian inversion
Domain decompositions
Karhunen Loeve Expansion
Local karhunen-loeve expansion
Markov chain Monte Carlo
Markov Chain Monte-Carlo
Random fields
Spatial domains
Subdomain
VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems
期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2023, 卷号: 97, 期号: 1
作者:
Xia, Yingzhi
;
Liao, Qifeng
;
Li, Jinglai
Adobe PDF(13441Kb)
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浏览/下载:494/60
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提交时间:2023/09/22
Differential equations
Bayesian
Deep generative model
Generative model
Gradient approximation
High-dimensional
Higher-dimensional
Physic-constrained surrogate
Posterior distributions
Variational inference
Variational inference methods
A domain-decomposed VAE method for Bayesian inverse problems
期刊论文
ARXIV, 2023, 卷号: 14, 期号: 3
作者:
Xu, Zhihang
;
Xia, Yingzhi
;
Liao, Qifeng
Adobe PDF(1383Kb)
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浏览/下载:237/0
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提交时间:2024/01/09
Bayesian inference
Markov chain Monte Carlo
domain decomposition
deep generative models
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
预印本
2023
作者:
Bian, Lingbin
;
Wang, Nizhuan
;
Novelli, Leonardo
;
Keith, Jonathan
;
Razi, Adeel
Adobe PDF(6430Kb)
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浏览/下载:175/0
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提交时间:2024/01/09
fMRI
brain networks
community detection
latent block model
Bayesian inference
Markov chain Monte Carlo
ESAMPLER: Boosting sampling of satisfying assignments for Boolean formulas via derivation
期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 129
作者:
Xu, Yongjie
;
Song, Fu
;
Chen, Taolue
Adobe PDF(2750Kb)
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浏览/下载:338/0
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提交时间:2022/07/15
Bayesian networks
Boolean functions
Computational complexity
Inference engines
Random number generation
Boolean formulae
Boolean satisfiability
Classical problems
Constraint-based
Constraint-based sampling
Data optimization
Data testing
Satisfiability solving
Satisfying assignments
State of the art
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 455
作者:
Xia, Yingzhi
;
Zabaras, Nicholas
Adobe PDF(4390Kb)
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浏览/下载:653/241
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提交时间:2022/02/22
Bayesian inference
Deep generative model
High-dimensionality
Inverse problems
Markov Chain Monte Carlo
Multiscale estimation
Spatial Feature Aided Optimal Compressive Phase Training and Channel Estimation in Massive MIMO Systems with RIS
会议论文
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, Seoul, Korea, Republic of, May 16, 2022 - May 20, 2022
作者:
Fang, Pan
;
Lian, Lixiang
Adobe PDF(1129Kb)
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浏览/下载:275/0
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提交时间:2022/09/23
Bayesian networks
Channel state information
Computational efficiency
Inference engines
Interlocking signals
MIMO systems
Accurate channels
Channel estimation algorithms
Channel-state information
Compressive channel estimations
Estimation performance
In-channels
Information acquisitions
Optimal phase training
RIS
Spatial features
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference
预印本
2021
作者:
Qian, Elizabeth
;
Tabeart, Jemima M.
;
Beattie, Christopher
;
Gugercin, Serkan
;
Jiang, Jiahua
Adobe PDF(1055Kb)
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收藏
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浏览/下载:180/0
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提交时间:2024/01/09
Bayesian inference
Balanced truncation
Model reduction
Deep vs. deep Bayesian: Faster reinforcement learning on a multi-robot competitive experiment
会议论文
PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, ICINCO 2021, Virtual, Online, July 6, 2021 - July 8, 2021
作者:
Huang, Jingyi
;
Giardina, Fabio
;
Rosendo, Andre
Adobe PDF(16350Kb)
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浏览/下载:225/0
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提交时间:2021/12/03
Agricultural robots
Bayesian networks
Industrial robots
Multilayer neural networks
Multipurpose robots
Network layers
Reinforcement learning
Robotics
Bayesian approaches
Bayesian learning
Bayesian reinforcement learning
Competitive experiments
Learning efficiency
Multilayered neural networks
Probabilistic inference
Real
world learning
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