Archiv: Stochastik Rhein-Main

01.06.2021 Oberseminar Mainz

Dr. Christian Mönch (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

08.06.2021 Oberseminar Mainz

Andreas Meier (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

25.05.2021 Oberseminar Mainz

Leonard Bauer (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

26.10.2021 Oberseminar Mainz

Götz Kersting (Goethe-Universität Frankfurt)

Kugelwellen

09.11.2021 Oberseminar Mainz

Frederic Alberti (Université Marie et Louis Pasteur Besançon)

The selection-recombination equation and its solution

07.06.2022 Oberseminar Mainz

Asymptotic behaviour of ancestral lineages in spatial models

12.07.2022 Oberseminar Mainz

Manuel Esser (Universität Bonn)

Metastability and multi-scale analysis of individual-based population models

19.07.2022 Oberseminar Mainz

Kurzvorträge von Alexander Gieswinkel, Jonathan Klinge, Jakob König (JGU Mainz)

08.11.2022 Oberseminar Mainz

Markus Schepers (UniMedizin Mainz)

08.11.2022 Markus Schepers, Cover and Hitting Times of Hyperbolic Random Graphs

07.02.2023 Oberseminar Mainz

Prof. Dr. Steffen Dereich (Universität Münster)

Oberseminar Stochastik Mainz - 07.05.2024 - Prof. Dr. Steffen Dereich (WWU Münster)

Titel: New error bounds for the Adam optimisation algorithm Abstract: In this talk, I will give an introduction concerning the training of artificial neural networks based on stochastic gradient descent algorithms. Whereas there are various approaches for carrying out an error analysis for classical stochastic gradient descent, significantly less is known for more elaborate algorithms such as the Adam algorithm. Recently, we established a new approach which allows us to provide error estimates and to reduce this gap. The talk is based on joint work with Arnulf Jentzen. weiterlesen

25.04.2023 Oberseminar Mainz

Fu-Hsuan Ho (Université Toulouse III)

Algorithmic perspectives of the continuous random energy model

09.05.2023 Oberseminar Mainz

Dr. Christian Mönch (Johannes Gutenberg-Universität Mainz)

Inhomogeneous long-range networks - an overview

18.07.2023 Oberseminar Mainz

Andreas Klippel (TU Darmstadt)

Comparison of the random loop model to percolation and infinite loops in the random link model

11.07.2023 Oberseminar Mainz

Jan Lukas Igelbrink (Universität Mainz Fachbereich Mathematik und Goethe-Universität Frankfurt/M.)

Muller's ratchet with tournament selection: near-criticality and links to the classical ratchet

07.11.2023 Oberseminar Mainz

Marco Seiler (Goethe-Universität Frankfurt/M.)

Spatial Invasion of Cooperative Parasites

07.05.2024 Oberseminar Mainz

Prof. Dr. Steffen Dereich (Universität Münster)

New error bounds for the Adam optimisation algorithm

In this talk, I will give an introduction concerning the training of artifcial neural networks based on stochastic gradient descent algorithms. Whereas there are various approaches for carrying out an error analysis for classical stochastic gradient descent, significantly less is known for more elaborate algorithms such as the Adam algorithm. Recently, we established a new approach which allows us to provide error estimates and to reduce this gap. The talk is based on joint work with Arnulf Jentzen. weiterlesen

28.05.2024 Oberseminar Mainz

Stein Andreas Bethuelsen (University of Bergen)

Mixing for Poisson representable processes and the contact process

In this talk I will present some new insights on so-called Poisson representable processes, a general class of {0,1}-valued processes recently introduced by Forsström, Gantert and Steif. Particularly, I will discuss a new characteristic of these in terms of certain mixing properties. As an application thereof, I will argue that the upper invariant measure of the contact process on Z^d is not Poisson representable, thereby answering a question raised in the above mentioned work. This relies on the upper invariant measure satisfying certain directional mixing properties, but not their spatial equivalent. Moreover, the general approach extends to other processes having similar properties, such as the plus phase of the Ising model on Z^2 in the phase transition regime. weiterlesen

04.06.2024 Oberseminar Mainz

Samuel Modee (University of Bergen)

Some rigorous results on the zombie infection model

The so-called zombie infection model is a one-parameter family of interacting particle systems introduced in the physics literature in the 2010’s. This model can be seen as a natural hybrid between a SIR infection model and the bias-voter model. After a brief survey on the basics of this model, we present in this talk some rigorous results, focusing on monotonicity properties and bounds on the probability of a zombie invasion. This is based on joint work, in progress, with Erik Broman and Stein Andreas Bethuelsen. weiterlesen

19.11.2024 Oberseminar Mainz

Sascha Franck (Universität Frankfurt)

On the spread of an infection in a spatially distributed host population with host immunity

26.11.2024 Oberseminar Mainz

Reinhard Höpfner (Johannes Gutenberg-Universität JGU Mainz)

Circuits von Hodgkin-Huxley-Neuronen

Veranstaltungsarchiv

Events

Oberseminar Stochastik

Oberseminar Stochastik

Oberseminar Stochastik

Kugelwellen

The selection-recombination equation and its solution

Asymptotic behaviour of ancestral lineages in spatial models

Metastability and multi-scale analysis of individual-based population models

Kurzvorträge von Alexander Gieswinkel, Jonathan Klinge, Jakob König (JGU Mainz)

08.11.2022 Markus Schepers, Cover and Hitting Times of Hyperbolic Random Graphs

Oberseminar Stochastik Mainz - 07.05.2024 - Prof. Dr. Steffen Dereich (WWU Münster)

Algorithmic perspectives of the continuous random energy model

Inhomogeneous long-range networks - an overview

Comparison of the random loop model to percolation and infinite loops in the random link model

Muller's ratchet with tournament selection: near-criticality and links to the classical ratchet

Spatial Invasion of Cooperative Parasites

New error bounds for the Adam optimisation algorithm

Mixing for Poisson representable processes and the contact process

Some rigorous results on the zombie infection model

On the spread of an infection in a spatially distributed host population with host immunity

Circuits von Hodgkin-Huxley-Neuronen

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