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 | |
| 18.11.25 | TBA | Lina Teumer (TUBAF) |
| 03.12.25 | TBA | (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 | (U Manchester) | |
| 14.05.2025 | (TU Berlin) | |
| 21.05.2025 | Parallel Ensemble-Kalman-Inversion of Geo-Electromagnetic Data | Dr. Ralph-Uwe Börner (TUBAF) |
| 28.05.2025 | (U Passau) | |
| 25.06.2025 | Delayed Acceptance Slice Sampling | Kevin Bitterlich (TUBAF) |
| 02.07.2025 | Mixed moving average field guided learning with unbounded losses | |
| 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: ) | , PhD () |
| 27.11.2024 | Bayesian inference of covariate-parameter relationships for population modelling | ) |
In the summer term 2024, we dealt with the topic of causality and discussed essential parts of the book "" 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 °Âü²Ô²õ³¦³ó±ð |
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)
Ãœber den vermeintlichen Beweis der Markt-Hypothese ³Ô¹ÏÍø 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
