Colloquia in 2020
Machine Learning for Enhanced Mobility
Katharina Morik, TU Dortmund, Germany 2.28.0.10810:15 - 11:15
Mobility is an important topic, because on the one hand, the global world requires mobility of people and goods, but on the other hand, we suffer from…
more ›-cancelled- Variational Monte Carlo Methods for Classical Solution of Hamilton Jacobi Bellmann Equations
Reinhold Schneider, TU Berlin, Germany 2.28.0.10810:15 - 11:15
- Unfortunatly this colloquium will be cancelled due to the current situation concering the Corona Virus -
Suppose the PDE is cast in a variational…
more ›Optimal sensor placement for the quantification of model uncertainty: A functional analysis perspective
Karen Veroy-Grepl, Eindhoven University of Technology online - details below10:15 - 11:15
We consider optimal sensor placement for inverse problems constrained by partial differential equations in which the model contains uncertainties,…
more ›Statistical properties of deterministic dynamical systems and their applications in weather and climate forecasting
Georg Gottwald, University of Sydney online - details below10:15 - 11:15
The talk is concerned with recent results on statistical properties of deterministic dynamical systems. We will discuss the problem of finding…
more ›Digital first, concerns second: Our power to change everyday life and the question of responsibility in algorithm development
Ulrike Lucke & Ina Müller , Universität Potsdam online - details below10:15 -11:45
Developers of IT systems have enormous power. - And therefore also a great responsibility. This applies especially to the ideas and concepts about the…
more ›3. Kalman Lecture with Sara van de Geer
Sara van de Geer, ETH Zürich, Switzerland 10:15 - 11:15
The Lasso revisited: entropy bounds and dual certificates
The Lasso is least squares estimation with an ℓ1-penalty on the coeffcients. In this talk…
more ›Posterior consistency in Bayesian inference with exponential priors
Masoumeh Dashti, University of Sussex online10:15 - 11:15
We consider the problem of recovering the underlying truth in a nonparametric Bayesian inference setting with p-exponential priors. These priors are a…
more ›Joint Colloquium of SFB 1287 and SFB 1294 with Nikolaus Kriegeskorte
Nikolaus Kriegeskorte, Zuckerman Institute, Columbia University New York online15:00
Cognitive computational neuroscience of vision
To learn how cognition is implemented in the brain, we must build computational models that can…
more ›Estimatig the interraction functions and the graph of interactions in non linear multivariate Hawkes processes using Bayesian nonparametric methods
Judith Rousseau, University of Oxford, UK tba10:15 - 11:15
Please find the abstract to the talk here.
Invited by Markus Reiß
***Due to the current pandemic this colloquium will be conducted online. We…
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