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Introductory Workshop: Probability and Statistics of Discrete Structures: Clustering of vertices in random hypergraphs
Presenter
- Lasse Leskela
January 27, 2025
SLMath
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA
Presenter
- Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Robin Tucker-Drob - Radon-Nikodym topography of amenable equivalence relations in an acyclic graph
Presenter
- Robin Tucker-Drob
May 10, 2024
IPAM
Lily Reeves - Distances in hierarchical percolation - IPAM at UCLA
Presenter
- Lily Reeves
May 9, 2024
IPAM
Reza Gheissari - Spectral gap estimates for the random field Ising model - IPAM at UCLA
Presenter
- Reza Gheissari
May 9, 2024
IPAM
Sarai Hernandez Torres - Minkowski content of the scaling limit of 3D loop-erased random walk
Presenter
- Sarai Hernandez Torres
May 8, 2024
IPAM
James Lee - Scaling exponents in stationary random graphs - IPAM at UCLA
Presenter
- James Lee
May 7, 2024
IPAM
Dor Elboim - Poisson-Dirichlet distribution for the interchange process in five dimensions
Presenter
- Dor Elboim
May 7, 2024
IPAM
Paul Duncan - Homological Percolation in a Torus - IPAM at UCLA
Presenter
- Paul Duncan
May 6, 2024
IPAM