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Sylke Pfeiffer

Sekretariat

Kontakt
Raum:
2.09.2.17
Telefon:
+49 331 977-4017
Fax:
+49 331 977-1132
E-Mail:
sypfeiffer@math.uni-potsdam.de

Anschrift

Universität Potsdam
Institut für Mathematik
Campus Golm, Haus 9
Karl-Liebknecht-Str. 24-25
D-14476 Potsdam

Aktivitäten

08.12.2022, 14:15-15:45  –  2.22 und Zoom
Geometric Analysis, Differential Geometry and Relativity

Global hyperbolicity through the eyes of the null distance

Leonardo Garcia Heveling

Can one encode the causal information of a spacetime in a metric space structure? In 2016, Sormani and Vega conjectured how this may be done. In this talk, I will present some recent results... 

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09.12.2022, 10:15 - 11:15  –  Campus Golm, Building 28, Room 0.108
SFB-Kolloquium

One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty

Claudia Schillings, Freie Universität Berlin

Approaches to decision making and learning mainly rely on optimization techniques to achieve “best” values for parameters and decision variables. In most practical settings, however, the optimization... 

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09.12.2022, 11:00  –  Raum 2.22 + Zoom
Arbeitsgruppenseminar Analysis

CCR-representations of symplectic vector spaces

Nicolas Ginoux (Université de Lorraine, Metz)

We present the construction of the so-called CCR-representation of any given symplectic vector space. We shall follow Section 4.2 in the book "Wave equations on Lorentzian manifolds and quantization"... 

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12.12.2022, 10:15  –  Golm, Hs. 9, room 2.22 (and Zoom)
Forschungsseminar Statistik

Optimal reach estimation via metric learning

Clément Berenfeld

Abstract: In manifold learning, the reach is an ubiquitous regularity parameter that encompasses the well-behavior of the support of the underlying probability measure. Enforcing a reach constraint... 

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14.12.2022, 12:15  –  Golm, Haus 9, 1.10
SFB-Seminar

Bayesian and Deterministic Spatio-Temporal Methods with Edge-Preserving Priors for Inverse Problems

Mirjeta Pasha (Tufts University)

Abstract: Inverse problems are ubiquitous in many fields of science such as engineering, biology, medical imaging, atmospheric science, and geophysics. Three emerging challenges on obtaining relevant... 

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