scientific article; zbMATH DE number 7306874

MaRDI QIDQ5148961

Jacob Hinkle, Devanshu Agrawal, Theodore Papamarkou

Publication date: 5 February 2021

Full work available at URL: https://arxiv.org/abs/2001.00921

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

Gaussian processesphase transitionskernelsdeep learningBayesian neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Deep Gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer’s diseases

Uses Software

• word2vec
• ImageNet
• AlexNet

Cites Work

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• Uniform asymptotic normality of the maximum likelihood estimator
• Hedonic housing prices and the demand for clean air
• Bayesian learning for neural networks
• Reducing the Dimensionality of Data with Neural Networks
• Central Limit Theorems for Interchangeable Processes
• How Deep Are Deep Gaussian Processes?
• An Introduction to Variational Autoencoders

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