Wessel P. Bruinsma | DeepAI

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∙ 03/25/2023

Autoregressive Conditional Neural Processes

Conditional neural processes (CNPs; Garnelo et al., 2018a) are attractiv...

0 Wessel P. Bruinsma, et al. ∙

∙ 11/18/2022

Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement

Deploying environmental measurement stations can be a costly and time-co...

0 Tom R. Andersson, et al. ∙

∙ 11/04/2022

Sparse Gaussian Process Hyperparameters: Optimize or Integrate?

The kernel function and its hyperparameters are the central model select...

0 Vidhi Lalchand, et al. ∙

∙ 05/15/2022

A Note on the Chernoff Bound for Random Variables in the Unit Interval

The Chernoff bound is a well-known tool for obtaining a high probability...

0 Andrew Y. K. Foong, et al. ∙

∙ 03/16/2022

Practical Conditional Neural Processes Via Tractable Dependent Predictions

Conditional Neural Processes (CNPs; Garnelo et al., 2018a) are meta-lear...

15 Stratis Markou, et al. ∙

∙ 03/14/2022

Modelling Non-Smooth Signals with Complex Spectral Structure

The Gaussian Process Convolution Model (GPCM; Tobar et al., 2015a) is a ...

0 Wessel P. Bruinsma, et al. ∙

∙ 02/23/2022

Wide Mean-Field Bayesian Neural Networks Ignore the Data

Bayesian neural networks (BNNs) combine the expressive power of deep lea...

0 Beau Coker, et al. ∙

∙ 06/07/2021

How Tight Can PAC-Bayes be in the Small Data Regime?

In this paper, we investigate the question: Given a small number of data...

0 Andrew Y. K. Foong, et al. ∙

∙ 01/10/2021

The Gaussian Neural Process

Neural Processes (NPs; Garnelo et al., 2018a,b) are a rich class of mode...

48 Wessel P. Bruinsma, et al. ∙

∙ 07/02/2020

Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes

Stationary stochastic processes (SPs) are a key component of many probab...

2 Andrew Y. K. Foong, et al. ∙

∙ 11/14/2019

Scalable Exact Inference in Multi-Output Gaussian Processes

Multi-output Gaussian processes (MOGPs) leverage the flexibility and int...

15 Wessel P. Bruinsma, et al. ∙

∙ 10/29/2019

Convolutional Conditional Neural Processes

We introduce the Convolutional Conditional Neural Process (ConvCNP), a n...

45 Jonathan Gordon, et al. ∙

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