Search Results for author: Mikhail Hayhoe

Found 2 papers, 0 papers with code

Stable and Transferable Hyper-Graph Neural Networks

no code implementations11 Nov 2022 Mikhail Hayhoe, Hans Riess, Victor M. Preciado, Alejandro Ribeiro

To do so, we provide a framework for bounding the stability and transferability error of GNNs across arbitrary graphs via spectral similarity.

AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data

no code implementations28 Jun 2021 Francisco Barreras, Mikhail Hayhoe, Hamed Hassani, Victor M. Preciado

The likelihood of the observations is estimated recursively using an Extended Kalman Filter and can be easily optimized using gradient-based methods to compute maximum likelihood estimators.

Bayesian Inference

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