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Dr. Joseph Picard
Reserch Title:
Array Processing with Riemannian Geometry
Graduate Students
Ph.D
Amitay Bar
Reserch Title:
Riemannian Geometry and Manifold Analysis in Reinforcement Learning, Signal Processing, and Optimization
Ya-Wei Lin
Reserch Title:
Hyperbolic Geometry in Machine Learning
Ido Cohen
Reserch Title:
Multi-Graph Signal Processing
Emil Bronstein
Reserch Title:
Novel methods for measurement and data-driven analysis of acoustic and magnetic emissions
Principal supervisor: Prof. Doron Shilo
David Cohen
Reserch Title:
Geometric Methods with Applications to Feature Selection and Individual Treatment Effect
Yehonatan-Itay Segman
Reserch Title:
Time-frequency Representation Using the Geometry of Time-delay Embedding
M.Sc
Adi Arbel
Reserch Title:
Holomorphic Interpolation Schemes for Multimodal Manifold Learning
Gal Maman
Reserch Title:
Optimal Domain Adaptation on Riemannian Manifolds using Procrustes Analysis
Bar Weiss
Reserch Title:
Scalable Sensor Fusion via a Reference Subset
Or Cohen
Harel Mendelman
Yoav Harris
Reserch Title:
Sparse dictionary learning optimized for behavior prediction: an integrated framework for learning sparse neuronal events encoding behavior
Co-supervisor: Dr. Hadas Benisy
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