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Date Category Speakers Title

28.–30.08.2019  Andere Veranstaltungen

MiniWORKshop: Stochastic processes on evolving networks

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01.06.2023  Oberseminar Darmstadt

Ercan Sönmez (Universität Klagenfurt)

Mixed fractional stochastic differential equations

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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. Read more

07.11.2017  Oberseminar Mainz

Bjarki Eldon (Museum für Naturkunde, Berlin)

Modeling gene genealogies in highly fecund populations

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06.06.2019  Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Monotonicity of correlations for general loop soups

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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

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03.12.2024  Oberseminar Mainz

Sebastian Hummel (ETH Zürich)

Multi-Type Birth-Death Processes with Mean-Field Interactions for B-cell Phylodynamics

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17.11.2016  Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Néel order using a random loop model

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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. Read more

08.11.2017  Stochastik-Kolloquium Frankfurt

Prof. Dr. Sebastian Doehler (Hochschule Darmstadt)

New false discovery rate controlling procedures for discrete data

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28.05.2026  Oberseminar Darmstadt

Lars Schroeder (University of Twente and University of Florence)

Node2vec random walks: Regular graphs and recurrence

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15.04.2025  Oberseminar Mainz

Réka Szabó (University of Groningen)

Oberseminar Mainz

How single cell properties can change network synchronization: The saddle-node loop bifurcation in neuron models - Neurons have traditionally been classified into two types depending on their frequency-input curve. Both types are associated with a particular dynamic transition from rest to spiking. Our work highlights a third transition, for which we found experimental evidence in hippocampal slices. For typical Hodgkin-Huxley-like neuron model, we present a universal bifurcation structure, with the separation of timescale between voltage and ion channel dynamics as one of the bifurcation parameters. We predict that the strongest changes in synchronization with small parameter changes occur at a particular co-dimension two bifurcation, the saddle-node loop bifurcation, and we present characteristics of this transition, from changes in firing rate to phase response curve and synchronization. We will conclude with a short overview over our current research on stress resilience. Read more

13.01.2026  Oberseminar Mainz

Janine Piesold (Johannes Gutenberg-Universität Mainz)

Oberseminar Mainz 13.01.2026

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17.02.2026  Oberseminar Mainz

Andreas Klippel (TU Darmstadt)

Oberseminar Mainz 17.02.2026

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02.06.2026  Oberseminar Mainz

Frederic Alberti (Université Marie et Louis Pasteur Besançon)

Oberseminar Mainz 2. Juni 2026

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27.01.2026  Oberseminar Mainz

Flavio Dalessi (Universität Basel)

Oberseminar Mainz 27.01.2026

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11.05.2021  Oberseminar Mainz

Iulia Dahmer (Johannes-Gutenberg-Universität Mainz)

Oberseminar Stochastik

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01.06.2021  Oberseminar Mainz

Dr. Christian Mönch (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

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08.06.2021  Oberseminar Mainz

Andreas Meier (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

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25.05.2021  Oberseminar Mainz

Leonard Bauer (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

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