Suchresultate — 110 items matching your search terms
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Prof. Dr. Ingo Steinwart
- (Localized) learning with kernels
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Merle Behr
- Learning compositional structures
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Michael Kupper (University of Konstanz)
- Risk measures based on weak optimal transport and approximation of drift control problems
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Prof. Martin Wolkewitz
- Statistical phenomena in hospital epidemiology: Challenges for statisticians and clinicians
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Prof. Carsten Dormann
- Process-guided neural networks: a case on domain adaptation
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Prof. Tonio Ball
- Deep Learning for Brain Signals
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Prof. Hannah Bast
- Query Construction and Question Anwering on Knowledge Bases
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Dr. Daniela Zöller
- Federated analysis using different cohorts - are we comparing apples and oranges?
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Prof. Dr. Christoph Becker
- Value, Size, Momentum and the Average Correlation of Stock Returns
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Prof. Dr. Johanna Ziegel
- Higher Order Elicitability
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Prof. Moritz Diehl
- Nonlinear Optimization Methods for Model Predictive Control of Mechatronic Systems
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Pau Formosa-Jordan
- Plant multicellular dynamics: from patterning to developmental transitions
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Lasse Heje Pedersen
- Machine Learning and the Implementable Efficient Frontier
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Prof. Harald Binder
- Deep dynamic modeling with a small number of time points
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Prof. Rolf Backofen
- Machine-Learning in the Context of CRISPR Research
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Prof. Dr. Thorsten Schmidt
- Knightian uncertainty in Financial Markets
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Patrick Dondl
- A phase field model for soma-germline interactions in Drosophila oogenesis
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Johannes Brutsche
- Sharp adaptive similarity testing with pathwise stability for ergodic diffusions
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Dr. Moritz Hess
- Deep generative approaches for omics data: interpretability and sample-size constraints
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Dr. Michael Hoffmann
- On detecting changes in the jumps of arbitrary size of a time-continuous stochastic process