
Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld)
Tue 3 Nov · 15:00
Huxley Building, South Kensington Campus
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12°C · 18% rain
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The Stochastic Analysis Seminar featuring Matthias Erbar from Universität Bielefeld will take place on 3 November 2026 at the Huxley Building, South Kensington Campus in London. The talk, titled 'Optimal transport and gradient flows for point processes', explores a theory of optimal transport for stationary random measures with a focus on stationary point processes. Erbar describes two types of distances on stationary probability measures geared towards different dynamics of point configurations, including one based on continuous displacement and another modelled on birth-death dynamics. The event is open to the public at no cost.
Matthias Erbar Title: Optimal transport and gradient flows for point processes Abstract I will describe a theory of optimal transport for stationary random measures with a focus on stationary point processes. We consider two types of distances on stationary probability measures on the configuration space geared towards different dynamics of point configurations. The first one is based on continuous displacement of points and leads to a two layer optimal transport problem with a probabilistic constraint. It gives rise to a natural notion of displacement interpolation between point processes and provides e.g. a characterisation of the evolution of infinitely many (interacting) Brownian motions as the gradient flow of the specific free energy. The second notion is based on a birth-death dynamic of points and is modelled on the Benamou-Brenier formula. In a perturbative regime around the Poisson process we obtain an EVI gradient flow characterisation of the associated Glauber dynamics. This is based on joint work with Martin Huesmann, Jonas Jalowy, Bastian Müller, and Hanna Stange.
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Frequently asked questions
Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) takes place on Tuesday, 3 November 2026 at 15:00.
Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) is held at Huxley Building, South Kensington Campus in London (410, Huxley Building, SW7 2AZ).
Entry to Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) is free.
The forecast for Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) is Overcast · 12°C.
Yes — hotels within walking distance of Huxley Building, South Kensington Campus can be compared using the accommodation search further down this page.
Tickets for Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) can be booked via imperial.ac.uk using the "Check Tickets & Live Prices" button on this page, which opens the official booking site in a new tab.
Editorial summaryAbout this event
The Stochastic Analysis Seminar featuring Matthias Erbar from Universität Bielefeld will take place on 3 November 2026 at the Huxley Building, South Kensington Campus in London. The talk, titled 'Optimal transport and gradient flows for point processes', explores a theory of optimal transport for stationary random measures with a focus on stationary point processes. Erbar describes two types of distances on stationary probability measures geared towards different dynamics of point configurations, including one based on continuous displacement and another modelled on birth-death dynamics. The event is open to the public at no cost.
This summary was automatically generated from event data sourced from official ticketing providers.
Matthias Erbar Title: Optimal transport and gradient flows for point processes Abstract I will describe a theory of optimal transport for stationary random measures with a focus on stationary point processes. We consider two types of distances on stationary probability measures on the configuration space geared towards different dynamics of point configurations. The first one is based on continuous displacement of points and leads to a two layer optimal transport problem with a probabilistic constraint. It gives rise to a natural notion of displacement interpolation between point processes and provides e.g. a characterisation of the evolution of infinitely many (interacting) Brownian motions as the gradient flow of the specific free energy. The second notion is based on a birth-death dynamic of points and is modelled on the Benamou-Brenier formula. In a perturbative regime around the Poisson process we obtain an EVI gradient flow characterisation of the associated Glauber dynamics. This is based on joint work with Martin Huesmann, Jonas Jalowy, Bastian Müller, and Hanna Stange.
Description supplied by the event organiser.
StayStaying overnight?
Hotels within walking distance of Huxley Building, South Kensington Campus. Searching near 410, Huxley Building, SW7 2AZ; check-in Tuesday, 3 November 2026.
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WhereHuxley Building, South Kensington Campus
Before you goFrequently asked questions
When is Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld)?
Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) takes place on Tuesday, 3 November 2026 at 15:00.
Where is Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) taking place?
Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) is held at Huxley Building, South Kensington Campus in London (410, Huxley Building, SW7 2AZ).
How much are tickets for Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld)?
Entry to Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) is free.
What will the weather be like at Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld)?
The forecast for Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) is Overcast · 12°C.
Is there anywhere to stay near Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld)?
Yes — hotels within walking distance of Huxley Building, South Kensington Campus can be compared using the accommodation search further down this page.
How do I get tickets for Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld)?
Tickets for Stochastic Analysis Seminar – Matthias Erbar (Universität Bielefeld) can be booked via imperial.ac.uk using the "Check Tickets & Live Prices" button on this page, which opens the official booking site in a new tab.
Price
Free Entry
Date
Time
Weather
feels like 9°C · chance of rain 18% · wind 14 km/h
Venue
410, Huxley Building, SW7 2AZ
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