Suchresultate — 106 items matching your search terms

Prof. Carsten Dormann: Process-guided neural networks: a case on domain adaptation
Prof. Tonio Ball: Deep Learning for Brain Signals
Prof. Hannah Bast: Query Construction and Question Anwering on Knowledge Bases
Dr. Daniela Zöller: Federated analysis using different cohorts - are we comparing apples and oranges?
Prof. Dr. Christoph Becker: Value, Size, Momentum and the Average Correlation of Stock Returns
Prof. Dr. Johanna Ziegel: Higher Order Elicitability
Prof. Moritz Diehl: Nonlinear Optimization Methods for Model Predictive Control of Mechatronic Systems
Pau Formosa-Jordan: Plant multicellular dynamics: from patterning to developmental transitions
Lasse Heje Pedersen: Machine Learning and the Implementable Efficient Frontier
Prof. Harald Binder: Deep dynamic modeling with a small number of time points
Prof. Rolf Backofen: Machine-Learning in the Context of CRISPR Research
Prof. Dr. Thorsten Schmidt: Knightian uncertainty in Financial Markets
Patrick Dondl: A phase field model for soma-germline interactions in Drosophila oogenesis
Johannes Brutsche: Sharp adaptive similarity testing with pathwise stability for ergodic diffusions
Dr. Moritz Hess: Deep generative approaches for omics data: interpretability and sample-size constraints
Dr. Michael Hoffmann: On detecting changes in the jumps of arbitrary size of a time-continuous stochastic process

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