Archiv: Stochastik Rhein-Main

28.–30.08.2019 Andere Veranstaltungen

MiniWORKshop: Stochastic processes on evolving networks

01.06.2023 Oberseminar Darmstadt

Ercan Sönmez (Universität Klagenfurt)

Mixed fractional stochastic differential equations

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

07.11.2017 Oberseminar Mainz

Bjarki Eldon (Museum für Naturkunde, Berlin)

Modeling gene genealogies in highly fecund populations

06.06.2019 Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Monotonicity of correlations for general loop soups

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

03.12.2024 Oberseminar Mainz

Sebastian Hummel (ETH Zürich)

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

17.11.2016 Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Néel order using a random loop model

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

08.11.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Sebastian Doehler (Hochschule Darmstadt)

New false discovery rate controlling procedures for discrete data

28.05.2026 Oberseminar Darmstadt

Lars Schroeder (University of Twente and University of Florence)

Node2vec random walks: Regular graphs and recurrence

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. weiterlesen

13.01.2026 Oberseminar Mainz

Janine Piesold (Johannes Gutenberg-Universität Mainz)

Oberseminar Mainz 13.01.2026

17.02.2026 Oberseminar Mainz

Andreas Klippel (TU Darmstadt)

Oberseminar Mainz 17.02.2026

02.06.2026 Oberseminar Mainz

Frederic Alberti (Université Marie et Louis Pasteur Besançon)

Oberseminar Mainz 2. Juni 2026

27.01.2026 Oberseminar Mainz

Flavio Dalessi (Universität Basel)

Oberseminar Mainz 27.01.2026

11.05.2021 Oberseminar Mainz

Iulia Dahmer (Johannes-Gutenberg-Universität Mainz)

Oberseminar Stochastik

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

Veranstaltungsarchiv

Events

MiniWORKshop: Stochastic processes on evolving networks

Mixed fractional stochastic differential equations

Mixing for Poisson representable processes and the contact process

Modeling gene genealogies in highly fecund populations

Monotonicity of correlations for general loop soups

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

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

Néel order using a random loop model

New error bounds for the Adam optimisation algorithm

New false discovery rate controlling procedures for discrete data

Node2vec random walks: Regular graphs and recurrence

Oberseminar Mainz

Oberseminar Mainz 13.01.2026

Oberseminar Mainz 17.02.2026

Oberseminar Mainz 2. Juni 2026

Oberseminar Mainz 27.01.2026

Oberseminar Stochastik

Oberseminar Stochastik

Oberseminar Stochastik

Oberseminar Stochastik

Überblick

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