Marco Forgione

Variational meta-learning inference for low dimensional neural system identification

Matteo Rufolo, Dario Piga, Marco Forgione

Deep learning has proven highly effective for nonlinear system identification, but heavily parameterized neural networks are prone to overfitting in low-data regimes and lack reliable uncertainty quantification. The recently developed manifold meta-learning framework addresses th…Read more