Coulomb Gases and Ginzburg - Landau Vortices
By Sylvia Serfaty. 2014
148 citations recorded by the source corpus.
These are the lecture notes of a "Nachdiplomvorlesung" course taught at ETH Zurich in the Spring of 2013. They appeared in the EMS series Zurich Lectures in Advanced Mathematics.
Subfields: Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e40c43605853c557d183dfb638473497f438fd7d
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In Mathematical Physics
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In Statistics and Probability
Citations in the corpus
- Obstacle problems for integro-differential operators: Higher regularity of free boundaries (2019, background): “More recently, such kind of obstacle problems have found applications in interacting particle systems and other related models in statistical mechanics; see [8, 29,34] and references therein.”
- Trainability and Accuracy of Artificial Neural Networks: An Interacting Particle System Approach (2018, methodology): “Using the interchangeability of the n interacting particles/parameters in the neural representation, we focus on their empirical distribution and analyze its properties when n is large using standard limit theorems [22, 23, 31, 32].”
- Neural Networks as Interacting Particle Systems: Asymptotic Convexity of the Loss Landscape and Universal Scaling of the Approximation Error (2018, methodology): “We also consider the empirical distribution of the n interacting particles / parameters and analyze the properties of this distribution when the number n is large using standard limit theorems [17, 18, 26, 27].”