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2020 IPS Conference
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Statistical Mechanics
Category:
Lectures for this program:
| Lecture Time | Speaker | Lecture subject |
|---|---|---|
| 14:00-14:30 Invited | Daniel Hexner | Teaching an old foam new tricks: material design, memories and learning in aging solids |
| 14:30-14:45 | Gili Bisker |
How can you infer your system is out-of-equilibrium? Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. |
| 14:45-15:00 | Zohar Ringel |
Learning Curves for Deep Neural Networks: A field theory perspective In the past decade deep neural networks (DNNs) came to the fore as the leading machine learning algorithms for a variety... |
| 15:00-15:15 | Amir Bashan |
Dependency-based targeted attacks in interdependent networks Modern large network systems normally work in cooperation and incorporate dependencies between their components for purp... |
| 15:15-15:30 | Ydan Ben Dor [1,2] |
Ramifications of disorder on active particles in one dimension The effects of quenched disorder on a single and many active run-and-tumble particles are studied in one dimension. |