专题:Gaussian Processes and Bayesian Inference

This cluster of papers focuses on the application of Gaussian Processes in machine learning, covering topics such as variational inference, sparse regression, Bayesian inference, deep learning, and probabilistic models. It also explores the use of Gaussian Processes for nonparametric methods, time series modelling, and handling big data.
最新文献
Event-Boosted Deformable 3D Gaussians for Dynamic Scene Reconstruction

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GRAVI-NEURAL: Covariant Neural Characterization of Metric Tensor Perturbations in Dynamic Gravitational Environments

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Accelerated Training of Gaussian Processes Using Banded Square Exponential Covariances

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Cost-Aware Bayesian Optimization for Interactive Devices

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Physics-informed neural networks with multi-scale adaptive Fourier encoding for lithium-ion battery modeling: Spatiotemporal radial concentration field reconstruction and multi-rate voltage prediction

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Uncertainty in lifetime data quantified with Bayesian adaptive Hamiltonian methods

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Real-time modal tracking strategy based on ensemble learning and its application to a super high-rise building

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Brain-inspired warm-up training with random noise for uncertainty calibration

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A data-driven approach for tailored fatigue modeling in the context of production planning and control

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Expectations in Expectation Propagation

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近5年高被引文献

book Full Text OpenAlex 19551 FWCI0

Variational Inference: A Review for Statisticians

review Full Text OpenAlex 2171 FWCI22.8133

Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences

preprint Full Text OpenAlex 2119 FWCI1598.2653

Auto-Encoding Variational Bayes

article Full Text OpenAlex 1003 FWCI101.5606

Support Vector Regression

book-chapter Full Text OpenAlex 829 FWCI0.7962

Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users

article Full Text OpenAlex 798 FWCI92.4873

PyMC: a modern, and comprehensive probabilistic programming framework in Python

article Full Text OpenAlex 755 FWCI92.8053

Optimal ratio for data splitting

article Full Text OpenAlex 733 FWCI92.0707

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

review Full Text OpenAlex 589 FWCI60.9449

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

article Full Text OpenAlex 553 FWCI58.5672