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Max Nendel

Asymptotic parametrization of Wasserstein balls and perturbed Markovian transition semigroups

Weiterlesen…

Dr. Christian Fleck

Agent-Based Modelling of Single Cell Variability of CRISPR-Cas Interference and Adaptation

Weiterlesen…

Jun-Prof. Jonathan Henshaw

How much of a covariance is causal?

Weiterlesen…

Dr. Moritz Hess

Deep generative approaches for omics data: interpretability and sample-size constraints

Weiterlesen…

Prof. Dr. Toni Cathomen

Therapeutic genome editing and its need for artificial intelligence

Weiterlesen…

Johannes Brutsche

Sharp adaptive similarity testing with pathwise stability for ergodic diffusions

Weiterlesen…

Prof. Dr. Thorsten Schmidt

Knightian uncertainty in Financial Markets

Weiterlesen…

Dr. Daniela Zöller

Federated analysis using different cohorts - are we comparing apples and oranges?

Weiterlesen…

Prof. Hannah Bast

Query Construction and Question Anwering on Knowledge Bases

Weiterlesen…

Prof. Tonio Ball

Deep Learning for Brain Signals

Weiterlesen…

Prof. Carsten Dormann

Process-guided neural networks: a case on domain adaptation

Weiterlesen…

Dr. Maximilian Russe

“AI in Radiology – Small Data – Small Problems?”

Weiterlesen…

Prof. Rolf Backofen

Machine-Learning in the Context of CRISPR Research

Weiterlesen…

Prof. Harald Binder

Deep dynamic modeling with a small number of time points

Weiterlesen…

Jonas Blessing

Nonlinear semigroups and limit theorems for convex expectations

Weiterlesen…

Raquel Gaspar

Design risk of Constant Proportion Portfolio Insurance

Weiterlesen…

Hanna Sophia Wutte

How implicit regularization of Neural Networks affects the learned function

Weiterlesen…

Merle Behr

Learning compositional structures

Weiterlesen…

Matthias Steinrücken

Inferring Demographic Histories using Coalescent Hidden Markov Models

Weiterlesen…

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