Archive: Stochastik Rhein-Main

04.11.2025 Oberseminar Mainz

Noela Müller (Universität Eindhoven)

ENTFÄLLT LEIDER KURZFRISTIG !!!

07.11.2024 Oberseminar Darmstadt

Noemi Kurt (Goethe-Universität Frankfurt)

Dormancy in population genetics and interacting particle systems

19.01.2018 Rhein-Main-Kolloquium

Peter Mörters (Universität Köln)
Steffen Dereich (Universität Münster)

tba

18.11.2019 Stochastik-Kolloquium Frankfurt

Prof. Dr. Dirk Metzler (FB Biologie/ LMU München)

Hybridzone zwischen Rabenkrähen und Nebelkrähen: Artbildung allein durch Paarungspräferenzen?

10.05.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Hsien-Kuei Hwang (Academia Sinica, Taipeh)

Coin-tossing in Algorithmics

30.10.2019 Stochastik-Kolloquium Frankfurt

Prof. Dr. Hsien-Kuei Hwang (Academia Sinica, Taipeh)

Stirling numbers of the second kind: the history of early developments and an elementary approach to asymptotic normality

08.11.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Sebastian Doehler (Hochschule Darmstadt)

New false discovery rate controlling procedures for discrete data

12.06.2018 Stochastik-Kolloquium Frankfurt

Prof. Dr. Sebastian Mentemeier

Limit theorems for recursive cell-splitting schemes

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. Read more

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

16.05.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Sylvie Roelly (Universität Potsdam)

Die Renaissance des Werkes des Mathematikers Vincent Doeblin

23.06.2022 Oberseminar Darmstadt

Quirin Vogel (NYU Shanghai)

The limit of the Feynman representation for the Bose gas

25.04.2024 Oberseminar Darmstadt

Ralph Neininger (Goethe-Universität Frankfurt)

Recursive distributional equations in applications

26.11.2024 Oberseminar Mainz

Reinhard Höpfner (Johannes Gutenberg-Universität JGU Mainz)

Circuits von Hodgkin-Huxley-Neuronen

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

08.07.2025 Oberseminar Mainz

Réka Szabó (University of Groningen)

Percolation on the stationary distributions of the voter model with stirring

04.07.2017 Oberseminar Mainz

Roger Tribe (University of Warwick)

Coalescing Random Walks and related models

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. Read more

16.04.2019 Oberseminar Mainz

Sandra Kliem (Goethe-Universität Frankfurt)

Representations for measure-valued branching processes revisited

19.11.2024 Oberseminar Mainz

Sascha Franck (Universität Frankfurt)

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

Events archive

Events

ENTFÄLLT LEIDER KURZFRISTIG !!!

Dormancy in population genetics and interacting particle systems

tba

Hybridzone zwischen Rabenkrähen und Nebelkrähen: Artbildung allein durch Paarungspräferenzen?

Coin-tossing in Algorithmics

Stirling numbers of the second kind: the history of early developments and an elementary approach to asymptotic normality

New false discovery rate controlling procedures for discrete data

Limit theorems for recursive cell-splitting schemes

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

New error bounds for the Adam optimisation algorithm

Die Renaissance des Werkes des Mathematikers Vincent Doeblin

The limit of the Feynman representation for the Bose gas

Recursive distributional equations in applications

Circuits von Hodgkin-Huxley-Neuronen

Oberseminar Mainz

Percolation on the stationary distributions of the voter model with stirring

Coalescing Random Walks and related models

Some rigorous results on the zombie infection model

Representations for measure-valued branching processes revisited

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

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