During the winter term 2025/26, our research seminar takes place on Wednesdays at 2:30pm in room PRÜ-1104.
| Date | Topic | Speaker |
|---|---|---|
| 12.11.25 | TBA | Moritz Poguntke (TU Chemnitz) |
| 18.11.25 | TBA | Lina Teumer (TUBAF) |
| 03.12.25 | TBA | Guiseppe Carere (U Potsdam) |
Past Talks
2025
| Date | Topic | Speaker |
|---|---|---|
| 22.01.2025 | Neuronale Operatoren zur Approximation und Inversion seismischer Laufzeiten | Baldur Paulwitz |
| 05.02.2025 | Anwendung von neuronalen Netzwerken auf Zeitreihen in den Geowissenschaften | Konstantin Ibadullaev |
| 16.04.2025 | How to beat a Bayesian adversary | Prof. Jonas Latz (U Manchester) |
| 14.05.2025 | Conditional Wasserstein Distances for Bayesian Flow Matching | Dr. Paul Hagemann (TU Berlin) |
| 21.05.2025 | Parallel Ensemble-Kalman-Inversion of Geo-Electromagnetic Data | Dr. Ralph-Uwe Börner (TUBAF) |
| 28.05.2025 | Geodesic slice sampling on Riemannian manifolds | Dr. Mareike Hasenpflug (U Passau) |
| 25.06.2025 | Delayed Acceptance Slice Sampling | Kevin Bitterlich (TUBAF) |
| 02.07.2025 | Mixed moving average field guided learning with unbounded losses | Jasmin Sternkopf (TU Chemnitz) |
| 09.07.2025 | Importance Sampling for Concentrating Posteriors | Hanyue Gu (TUBAF) |
2024
| Date | Topic | Speaker |
|---|---|---|
| 23.10.2024 | Python Environments & Docker (Slides including demo: here) | Matthias Werner |
| 06.11.2024 | Surrogate-Accelerated Markov Chain Monte Carlo Methods for Bayesian Inverse Problems (Code: github.com/dom0015/surrDAMH) | Simona Beresova, PhD (Institute of Geonics) |
| 27.11.2024 | Bayesian inference of covariate-parameter relationships for population modelling | Prof. Han Cheng Lie (University of Potsdam) |
In the summer term 2024, we dealt with the topic of causality and discussed essential parts of the book "Elements of Causal Inference" by Jonas Peters, Dominik Janzing and Berhard Schölkopf (MIT Press, 2017):
| Date | Topic | Speaker |
|---|---|---|
| 17.01.2024 | Zu einer Frage der bedingten Abhängigkeit | Prof. Hans-Jörg Starkloff |
| 24.04.2024 | Statistik und Kausalität | Prof. Hans-Jörg Starkloff |
| 08.05.2024 | Introduction to Causal Inference | Prof. Björn Sprungk |
| 15.05.2024 | Multivariate Causal Models | Dr. Christoph Brause |
| 29.05.2024 | Counterfactuals, Markov Property, Faithfulness and Causal Minimality | Kevin Bitterlich |
| 05.06.2024 | Covariate Adjustment, Do-Calculus, and Equivalence | Prof. Björn Sprungk |
| 12.06.2024 | Causal Inference with Python (code and slides: here) | Matthias Werner |
| 19.06.2024 | Potential Outcomes & Structure Identifiability | Konstantin Ibadullaev |
| 26.06.2024 | Methods for Structure Identifiability | Hanyue Gu |
| 03.07.2024 | SCM and hidden variables | Dr. Anna Chekhanova |
| 10.07.2024 | SCM and time series | Dr. Andreas Wünsche |
2023
- 08.12.2023
Jun.-Prof. Daniel Walter (HU Berlin)
Source estimation and optimal sensor placement in spaces of measures - 16.11.2023
Jannis Chemseddine (TU Berlin)
When does minimizing the joint error yield good posterior reconstructions? - 16.11.2023
Paul Hagemann (TU Berlin)
Stability of Conditional Generative Models w.r.t. Observations - 20.06.2023
Dr. Orkun Furat (U Ulm)
Virtual materials testing: Workflow from image processing, via stochastic modeling to numerical simulation for establishing structure-property relationships - 26.05.2023
Prof. Marcus Wiens (TU BA Freiberg)
Measures for criticality and useful redundancy for the design of robust supply networks
2022
- 06.12.2022
Prof. Rudolf Kruse (U Magdeburg)
Unsicheres Wissen in der Künstlichen Intelligenz: Methoden und Anwendungen - 09.11.2022
Prof. Dietrich Stoyan (TU BA Freiberg)
Über den vermeintlichen Beweis der Markt-Hypothese zum Ursprung der Covid-19-Pandemie - 28.07.2022
Prof. Amir Sagiv (Columbia University)
A Measure Perspective on Uncertainty Propagation - 13.07.2022
Prof. Kengo Kamatani (ISM Osaka)
Non-reversible guided Metropolis kernel - 29.06.2022
Jun.-Prof. Conrad Jackisch (TU BA Freiberg)
Unsicherheiten in freier Wildbahn – Erfahrungen aus einem interdisziplinären Forschungsprojekt zu Anpassung an den Klimawandel an der Nordseeküste - 14.06.2022
Prof. Daniel Rudolf (U Passau)
Slice Sampling - 01.06.2022
Prof. Dietrich Stoyan (TU BA Freiberg)
Anpassungstests für Daten aus Siebanalysen - 11.05.2022
Prof. Sebastian Schmon (U Durham)
Optimal scaling of random-walk Metropolis algorithms using Bayesian large-sample asymptotics - 15.02.2022
Kevin Bitterlich (TU BA Freiberg)
Nichtreversible Metropolis-Hastings Algorithmen - 01.02.2022
Prof. Hans-Jörg Starkloff (TU BA Freiberg)
Zur Existenz von Lösungen von zufälligen gewöhnlichen Differentialgleichungen in Skalen von Banachräumen - 18.01.2022
Jun.-Prof. Björn Sprungk (TU BA Freiberg)
Stability of Uncertainty Quantification and Bayesian Inverse Problems
2021
- 30.11.2021
Sebastiano Grazzi (TU Delft)
The Boomerang sampler - 16.11.2021
Prof. Dietrich Stoyan (TU BA Freiberg)
Punktprozess-Statistik in der Partikelgrößen-Statistik - 02.11.2021
Dr. Philipp Wacker (FAU Erlangen-Nürnberg)
Deterministic Dynamics of Ensemble Kalman Inversion - 19.10.2021
Paula Klinger (TU BA Freiberg)
Monte Carlo-Berechnung von Risikomaßen mit Anwendung in der Energiewirtschaft - 13.07.2021
Viacheslav Natarovskii (GAU Göttingen)
Slice Sampling - 15.06.2021
Dr. Simon Weissmann (U Heidelberg)
Analysis of the ensemble Kalman inversion: from discrete to continuous time - 01.06.2021
Markus Dietz (TU BA Freiberg)
On a stochastic arc furnace model - 18.05.2021
Prof. Dr. Han Cheng Lie (U Potsdam)
Stochastic optimal control of SDEs for rare events and importance sampling of path functionals - 04.05.2021
Dr. Jonas Latz (U Cambridge)
Analysis of Stochastic Gradient Descent in Continuous Time - 20.04.2021
Dr. Jeremy Budd (TU Delft)
Theory and Image Segmentation with Graph MBO and Allen-Cahn
