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
Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation

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Discovering interpretable structural dynamic response using physics-informed Kolmogorov-Arnold network

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Probing the Hidden Sector: Neural Lagrangian Detection of Dark Matter Couplings from Visible Field Dynamics

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Autoencoder-based regularization methods for parametric and inverse projections

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Lagrangian grid-based estimation of nonlinear systems with invertible dynamics

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UFAL/UBM v0.1: The Muñoz Number (N_M) — A Stability Margin and Reference Benchmark for Long-Context Reliability

preprint Full Text OpenAlex

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders

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A Survey on Inference Optimization Techniques for Mixture of Experts Models

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Code and Data Repository for An Efficient Jackknife Model Averaging Method

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Implementation of Naïve Bayes Gaussian Algorithm for Real-Time Classification of Broiler Cage Conditions

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近5年高被引文献

book Full Text OpenAlex 19331 FWCI0

Variational Inference: A Review for Statisticians

review Full Text OpenAlex 2159 FWCI23.2053

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

preprint Full Text OpenAlex 2071 FWCI1904.4157

Auto-Encoding Variational Bayes

article Full Text OpenAlex 996 FWCI111.0648

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 768 FWCI91.6291

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

article Full Text OpenAlex 722 FWCI91.132

Optimal ratio for data splitting

article Full Text OpenAlex 706 FWCI91.3687

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

review Full Text OpenAlex 548 FWCI60.5987

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

article Full Text OpenAlex 519 FWCI57.9771