Dym, Nadav
Theory of Machine Learning, Equivariant Machine Learning, and Optimization. Continue Reading Dym, Nadav
Member Type: All
Grussler, Christian
Nonnegative Matrices, Montone Systems, Low-Complexity Modelling, Low-Rank/Sparse Optimization, Online Learning, Statistics on Manifolds
Zychlinski, Noa
Service operations management, stochastic modeling, queueing theory and their applications in healthcare operations Continue Reading Zychlinski, Noa
Shen-Orr, Shai
Development of computational methods for bridging the data-insight gap, particularly with focus immunity and their application for understanding the drivers of immune variation and how their maturation to Immune-based Precision Medicine. Continue Reading Shen-Orr, Shai
Levy, Sagi
We study how information is processed in neuronal networks to drive behavior Continue Reading Levy, Sagi
Barak, Omri
How the dynamics of neural networks in the brain support the processes of learning and memory, using
theoretical tools from the worlds of mathematics and physics and analyzing data from
experiments obtained from research laboratories with which he collaborates.
Continue Reading Barak, Omri
Freiman, Moti
Machine/Deep-learning applications in medical imaging, magnetic resonance imaging, medical image analysis Continue Reading Freiman, Moti
Levy, Kfir
Machine Learning and Stochastic Optimization Continue Reading Levy, Kfir
Mandel-Gutfreund, Yael
Computational Molecular Biology, Systems biology, machine learning, Biological Networks, Stem cells, single cell RNA-sequencing Continue Reading Mandel-Gutfreund, Yael
Fishbain, Barak
Enviromatics, a new research field that aims at devising machine learning methods and mathematical models for better understanding built and natural complex environments. Continue Reading Fishbain, Barak