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- Dr. Alexis Anagnostakis (Université Grenoble Alpes)
- Approximation of the local time of a sticky diffusion and applications
- Jonas Blessing
- Nonlinear semigroups and limit theorems for convex expectations
- Organigramm 2023
- Lena Kulla
- On a Mystery in Machine Learning
- Artur Schneider
- Toolbox for the Analysis of Motor Dynamics
- Rémy Degenne
- Adaptive Testing: Bandits find correct answers fast
- Annika Kemper
- A Principal-Agent Framework for Optimal Incentives in Renewable Investments
- Joseph Meyer
- Statistical Learning for Structured Models: Tree Based Methods and Neural Networks
- Christian Gourieroux
- Generalized Covariance Estimator
- Patrick Dondl
- A phase field model for soma-germline interactions in Drosophila oogenesis
- Peter Hieber
- Valuation and Risk Management of Guaranteed Minimum Death Benefits (GMDB) by Randomization
- Adriani Nikolakopoulou
- What works best? Methods for ranking competing treatments
- Prof. Eric Renault (CANCELLED!!!)
- Identifying Volatility Risk Price through Leverage Effect
- David Glavind Skovmand
- Roll-Over Risk in Benchmark Rates
- Dr. Noor Awad
- Evolutionary Algorithms: what can do for you?
- Max Nendel
- Asymptotic parametrization of Wasserstein balls and perturbed Markovian transition semigroups
- Fabio Mercurio
- Libor transition: Facts and Modeling Challenges
- Prof. Dr. Elmar Kotter
- Reporting in Radiology - the challenge of structuring reports
- Jun-Prof. Jonathan Henshaw
- How much of a covariance is causal?
- Johannes Brutsche
- Sharp adaptive similarity testing with pathwise stability for ergodic diffusions
- Dr. Daniela Zöller
- Federated analysis using different cohorts - are we comparing apples and oranges?
- Prof. Tonio Ball
- Deep Learning for Brain Signals
- Prof. Carsten Dormann
- Process-guided neural networks: a case on domain adaptation
- Dr. Moritz Hess
- Deep generative approaches for omics data: interpretability and sample-size constraints
- Prof. Dr. Thorsten Schmidt
- Knightian uncertainty in Financial Markets
- Prof. Rolf Backofen
- Machine-Learning in the Context of CRISPR Research
- Prof. Harald Binder
- Deep dynamic modeling with a small number of time points
- Lasse Heje Pedersen
- Machine Learning and the Implementable Efficient Frontier
- Pau Formosa-Jordan
- Plant multicellular dynamics: from patterning to developmental transitions
- Prof. Hannah Bast
- Query Construction and Question Anwering on Knowledge Bases