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Numerical Methods for PDEs
NumPDE
Numerical Methods for PDEs

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Online learning

Francesco Orabona

Associate Professor, Computer Science

Online learning optimization machine learning Statistical learning theory

Achieving "parameter-free" machine learning is the primary focus of Professor Francesco Orabona. He is particularly interested in designing superior algorithms to train deep learning models.

Adilya Bakambekova

Ph.D. Student (former), Electrical and Computer Engineering

Neuromorphic Engineering spiking neural networks Online learning processing applications development of bio-inspired hardware

PhD student at ISL group (Information Science Lab) , King Abdullah University of Science and Technology | KAUST · Department of Electrical Engineering

Numerical Methods for PDEs (NumPDE)

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