Course Presentations for Winter 2019-2020
- Course intro – Nir Gavish
- Projection-free Optimization and Learning – Dan Garber
- Why Neural Networks converge to “simple” solutions? – Daniel Soudry
- The onset of chaos in nonlinear nano- resonators – Oded Gottlieb
- Graph Theory for Multi-Agent and Networked Systems – Daniel Zelazo
- Analysis of single-cell RNAseq in order to learn about brain function – Amit Zeisel
- Modeling Complex Systems with Object-Process Methodology – Dov Dori
- Flow, deformation and, reaction in porous media: The preferential flow case – Yaniv Edery
- Mathematical Models for Air and Water Quality through Wireless Distributed Sensor Networks – Barak Fishbain
- Dynamics of recurrent networks with low-rank perturbations- Omri Barak
- Some open problems in the dynamics – Amy Novick-Cohen