Zaccharie Ramzi (Inria)
Zaccharie Ramzi is a PostDoc working on optimization in deep learning with Gabriel Peyre at ENS Ulm - CNRS in Paris. He was a PhD student working on the application of Deep Learning to MRI reconstruction under the supervision of Philippe Ciuciu and Jean-Luc Starck at NeuroSpin (CEA) in the Metric team. He is also a member of the Parietal team from Inria Saclay and the Cosmostat team from the Astrophysics Department of the CEA. Prior to this PhD, he graduated from Telecom ParisTech and ENS Cachan (M.Sc. Mathematics, Vision and Learning), and worked for 1 year as a Data Scientist at xbird, a Berlin-based startup.
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2022 Poster: Benchopt: Reproducible, efficient and collaborative optimization benchmarks »
Thomas Moreau · Mathurin Massias · Alexandre Gramfort · Pierre Ablin · Pierre-Antoine Bannier · Benjamin Charlier · Mathieu Dagréou · Tom Dupre la Tour · Ghislain DURIF · Cassio F. Dantas · Quentin Klopfenstein · Johan Larsson · En Lai · Tanguy Lefort · Benoît Malézieux · Badr MOUFAD · Binh T. Nguyen · Alain Rakotomamonjy · Zaccharie Ramzi · Joseph Salmon · Samuel Vaiter