conftrace_

neural network gaussian process

11 papers

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Also known as

NNGP

Co-occurring keywords · papers mentioning both

bayesian inference (3) infinite-width limit (2) kernel methods (2) bayesian neural network (2) uncertainty estimation (2) variational inference (2) neural tangent kernel (2) infinite neural network (1) weight posterior (1) graph neural network (1)

Papers

When narrower is better: the narrow width limit of Bayesian parallel branching neural networks ICLR 2025 Convolutional Deep Kernel Machines ICLR 2024 Multi-layer random features and the approximation power of neural networks UAI 2024 Guided Deep Kernel Learning UAI 2023 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022 Scale Mixtures of Neural Network Gaussian Processes ICLR 2022 Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit ICLR 2021 Finite Versus Infinite Neural Networks: an Empirical Study NeurIPS 2020 Infinite attention: NNGP and NTK for deep attention networks ICML 2020