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	The Gaussian Neural Process (Advances in Approximate Bayesian Inference 2020) (Wessel Bruinsma) View
	Easy introduction to gaussian process regression (uncertainty models) (paretos) View
	Distortion estimates for approximate Bayesian inference (Uncertainty in Artificial Intelligence) View
	AABI 2020: Factorized GP-VAE (Metod Jazbec) View
	Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior (Thomas Beckers) View
	Neural Process for Black-box Model Optimization Under Bayesian Framework by Zhongkai Shangguan (MLPS - Combining AI and ML with Physics Sciences) View
	2 2 2 Neural Network Gaussian Processes and their Kernel (Dr Mihai Nica) View
	Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference (AABI 2020) (Erik Daxberger) View
	[NeurIPS 2020 - Spotlight] Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels (Max Patacchiola) View
	NeurIPS 2021: An Infinite-Feature Extension for Bayesian ReLU Nets ... (Tübingen Machine Learning) View