In this workshop, we focus on the study of random graphs and random media. Specific topics include: random (geometric) graphs, random walks on random graphs, interacting particle system viewpoint on stochastic gradient descent learning for artificial neural networks, stochastic processes with branching and trapping in random media. The aim is to bring researchers working on these topics together in order to facilitate cross-fertilization of ideas and proliferation of the topic of stochastic processes on networks.
Sunday, 14.01.2024
until 19:00 Arrival
19:15 Dinner
Monday, 15.01.2024
8:00-9:00 Breakfast
9:00-9:45 Amin Coja-Oghlan: Noisy group testing
9:45-10:15 Coffee
10:15-11:00 Christian Hirsch: Poisson approximation of fixed-degree nodes in weighted random connection models
11:00-11:45 Bas Lodewijks: Structural properties of explosive Crump-Mode-Jagers branching processes - With applications to super-linear preferential attachment models with fitness
12:00 Lunch
15:00-15:45 Sara Terveer: Expected hitting times in the stochastic block model
15:45-16:15 Coffee
16:15-17:00 Sebastian Andres: Heat kernel fluctuations and quantitative homogenization for the one-dimensional Bouchaud trap model
17:00-17:45 Jiří Černý: On (non-)tightness of the maximum of branching random walk in random environment and of transition fronts to randomized F-KPP equation
18:00 Dinner
Tuesday, 16.01.2024
8:00-9:00 Breakfast
9:00-9:45 Konstantinos Panagiotou: Dispersion around criticality on the complete graph
9:45-10:15 Coffee
10:15-11:00 Dominik Schmid: Markov equivalence classes of directed acyclic graphs
11:00-11:45 Daniel Willhalm: Large deviations for one-hidden-layer neural networks
12:00 Lunch
15:00-15:45 Lukas Lüchtrath: The random cluster graph
15:45-16:15 Coffee
16:15-17:00 Angeliki Koutsimpela: The deterministic and stochastic shallow lake problem
17:00-17:45 Stein Bethuelsen: The zombie-infection model
18:00 Dinner
Wednesday, 17.01.2024
8:00-9:00 Breakfast and farewel
Kloster Frauenwörth in Frauenchiemsee
Markus Heydenreich
Anton Klimovsky