2 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
Equivariant Deep Dynamical Model for Motion Prediction
Bahar Azari, Deniz Erdoğmuş
Learning representations through deep generative modeling is a powerful approach for dynamical modeling to discover the most simplified and compressed underlying description of the…
PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling
Mohammadsadegh Shamsabardeh, Bahar Azari, Beatriz Martínez-López
We propose an epidemic analysis framework for the outbreak prediction in the livestock industry, focusing on the study of the most costly and viral infectious disease in the swine…
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting
Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas
We introduce deep switching auto-regressive factorization (DSARF), a deep generative model for spatio-temporal data with the capability to unravel recurring patterns in the data an…