Libor transition: Facts and Modeling Challenges
Asymptotic parametrization of Wasserstein balls and perturbed Markovian transition semigroups
Agent-Based Modelling of Single Cell Variability of CRISPR-Cas Interference and Adaptation
How much of a covariance is causal?
Deep generative approaches for omics data:
interpretability and sample-size constraints
Therapeutic genome editing and its need for artificial intelligence
Sharp adaptive similarity testing with pathwise stability for ergodic diffusions
Knightian uncertainty in Financial Markets
Federated analysis using different cohorts - are we comparing apples and oranges?
Query Construction and Question Anwering on Knowledge Bases
Deep Learning for Brain Signals
Process-guided neural networks: a case on domain adaptation
“AI in Radiology – Small Data – Small Problems?”
Machine-Learning in the Context of CRISPR Research
Deep dynamic modeling with a small number of time points
Nonlinear semigroups and limit theorems for convex expectations
Design risk of Constant Proportion Portfolio Insurance
How implicit regularization of Neural Networks affects the learned function
Learning compositional structures