Suchresultate — 377 items matching your search terms
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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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Giuseppe Genovese
- Pattern retrieval in the Hopfield model
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Dr. Alexis Anagnostakis (Université Grenoble Alpes)
- Approximation of the local time of a sticky diffusion and applications
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Jonas Blessing
- Nonlinear semigroups and limit theorems for convex expectations
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Lena Kulla
- On a Mystery in Machine Learning
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Artur Schneider
- Toolbox for the Analysis of Motor Dynamics
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Rémy Degenne
- Adaptive Testing: Bandits find correct answers fast
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Annika Kemper
- A Principal-Agent Framework for Optimal Incentives in Renewable Investments
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Joseph Meyer
- Statistical Learning for Structured Models: Tree Based Methods and Neural Networks
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Christian Gourieroux
- Generalized Covariance Estimator
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Patrick Dondl
- A phase field model for soma-germline interactions in Drosophila oogenesis
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Peter Hieber
- Valuation and Risk Management of Guaranteed Minimum Death Benefits (GMDB) by Randomization
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Adriani Nikolakopoulou
- What works best? Methods for ranking competing treatments
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Prof. Eric Renault (CANCELLED!!!)
- Identifying Volatility Risk Price through Leverage Effect
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David Glavind Skovmand
- Roll-Over Risk in Benchmark Rates
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Dr. Noor Awad
- Evolutionary Algorithms: what can do for you?
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Max Nendel
- Asymptotic parametrization of Wasserstein balls and perturbed Markovian transition semigroups
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Fabio Mercurio
- Libor transition: Facts and Modeling Challenges
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Prof. Dr. Elmar Kotter
- Reporting in Radiology - the challenge of structuring reports
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Jun-Prof. Jonathan Henshaw
- How much of a covariance is causal?
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Johannes Brutsche
- Sharp adaptive similarity testing with pathwise stability for ergodic diffusions
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Dr. Daniela Zöller
- Federated analysis using different cohorts - are we comparing apples and oranges?
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Prof. Tonio Ball
- Deep Learning for Brain Signals
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Prof. Carsten Dormann
- Process-guided neural networks: a case on domain adaptation
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Dr. Moritz Hess
- Deep generative approaches for omics data: interpretability and sample-size constraints
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Prof. Dr. Thorsten Schmidt
- Knightian uncertainty in Financial Markets
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Prof. Rolf Backofen
- Machine-Learning in the Context of CRISPR Research
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Prof. Harald Binder
- Deep dynamic modeling with a small number of time points
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Lasse Heje Pedersen
- Machine Learning and the Implementable Efficient Frontier
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Pau Formosa-Jordan
- Plant multicellular dynamics: from patterning to developmental transitions