Picture for Kurt Cutajar

Kurt Cutajar

Inherently Interpretable Time Series Classification via Multiple Instance Learning

Add code
Nov 23, 2023
Viaarxiv icon

Low-count Time Series Anomaly Detection

Add code
Aug 24, 2023
Viaarxiv icon

Deep Gaussian Processes for Multi-fidelity Modeling

Add code
Mar 18, 2019
Figure 1 for Deep Gaussian Processes for Multi-fidelity Modeling
Figure 2 for Deep Gaussian Processes for Multi-fidelity Modeling
Figure 3 for Deep Gaussian Processes for Multi-fidelity Modeling
Figure 4 for Deep Gaussian Processes for Multi-fidelity Modeling
Viaarxiv icon

Entropic Trace Estimates for Log Determinants

Add code
Apr 24, 2017
Figure 1 for Entropic Trace Estimates for Log Determinants
Figure 2 for Entropic Trace Estimates for Log Determinants
Figure 3 for Entropic Trace Estimates for Log Determinants
Figure 4 for Entropic Trace Estimates for Log Determinants
Viaarxiv icon

Bayesian Inference of Log Determinants

Add code
Apr 05, 2017
Figure 1 for Bayesian Inference of Log Determinants
Figure 2 for Bayesian Inference of Log Determinants
Figure 3 for Bayesian Inference of Log Determinants
Figure 4 for Bayesian Inference of Log Determinants
Viaarxiv icon

AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models

Add code
Mar 06, 2017
Figure 1 for AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models
Figure 2 for AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models
Viaarxiv icon

Random Feature Expansions for Deep Gaussian Processes

Add code
Mar 01, 2017
Figure 1 for Random Feature Expansions for Deep Gaussian Processes
Figure 2 for Random Feature Expansions for Deep Gaussian Processes
Figure 3 for Random Feature Expansions for Deep Gaussian Processes
Figure 4 for Random Feature Expansions for Deep Gaussian Processes
Viaarxiv icon

Preconditioning Kernel Matrices

Add code
May 25, 2016
Figure 1 for Preconditioning Kernel Matrices
Figure 2 for Preconditioning Kernel Matrices
Viaarxiv icon