When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting.
Harshavardhan KamarthiLingkai KongAlexander RodríguezChao ZhangB. Aditya PrakashPublished in: NeurIPS (2021)
Keyphrases
- network architecture
- neural network
- short term
- information systems
- belief functions
- biologically inspired
- uncertain data
- probability density function
- associative memory
- bio inspired
- exchange rate
- inherent uncertainty
- nonlinear predictive control
- gaussian process
- long term
- predictive model
- financial time series
- neural fuzzy
- weather forecasting
- sir model