Picture for Matteo Chinazzi

Matteo Chinazzi

Disentangled Multi-Fidelity Deep Bayesian Active Learning

Add code
May 07, 2023
Viaarxiv icon

Multi-fidelity Hierarchical Neural Processes

Add code
Jun 10, 2022
Figure 1 for Multi-fidelity Hierarchical Neural Processes
Figure 2 for Multi-fidelity Hierarchical Neural Processes
Figure 3 for Multi-fidelity Hierarchical Neural Processes
Figure 4 for Multi-fidelity Hierarchical Neural Processes
Viaarxiv icon

Accelerating Stochastic Simulation with Interactive Neural Processes

Add code
Jun 11, 2021
Figure 1 for Accelerating Stochastic Simulation with Interactive Neural Processes
Figure 2 for Accelerating Stochastic Simulation with Interactive Neural Processes
Figure 3 for Accelerating Stochastic Simulation with Interactive Neural Processes
Figure 4 for Accelerating Stochastic Simulation with Interactive Neural Processes
Viaarxiv icon

Quantifying Uncertainty in Deep Spatiotemporal Forecasting

Add code
May 25, 2021
Figure 1 for Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Figure 2 for Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Figure 3 for Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Figure 4 for Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Viaarxiv icon

DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting

Add code
Feb 15, 2021
Figure 1 for DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
Figure 2 for DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
Figure 3 for DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
Figure 4 for DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
Viaarxiv icon

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks

Add code
Jun 27, 2020
Figure 1 for Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Figure 2 for Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Figure 3 for Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Figure 4 for Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Viaarxiv icon

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

Add code
Apr 08, 2020
Figure 1 for A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Figure 2 for A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Figure 3 for A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Figure 4 for A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Viaarxiv icon