Péter Koltai

Professor for "Data-driven modeling of complex systems"
Institut für Mathematik
Freie Universität Berlin

Answers are simple. It is questions which are hard.
Anonymous

2022-25	Characterization and prediction of quasi-stationary atmospheric states (w/ M. Engel, S. Pfahl) Funded by DFG-SFB 1114 "Scaling Cascades in Complex Systems"
2021-24	Kernel Ensemble Kalman Filter and Inference (w/ N. Perkowski) Funded by DFG Cluster of Excellence "MATH+"
2021-24	Concentration effects and collective variables in agent-based systems (w/ J. Heitzig, N. Molkenthin, S. Winkelmann) Funded by DFG Cluster of Excellence "MATH+"

2022-23	Infinite-Dimensional Supervised Least Squares Learning as a Noncompact Regularized Inverse Problem Funded by DFG Cluster of Excellence "MATH+"
2018-22	Coupling a multiscale stochastic precipitation model to large scale atmospheric flow dynamics (w/ P. Névir, H. Rust) Funded by DFG-SFB 1114 "Scaling Cascades in Complex Systems"
2019-21	Learning transition manifolds and effective dynamics of biomolecules (w/ S. Klus, G. Kutyniok, K.-R. Müller, Ch. Schütte) Funded by DFG Cluster of Excellence "MATH+"
2019-21	Understanding tipping and other dynamical transitions in systems containing human agents (w/ J. Heitzig, J. Kurths, Ch. Schütte) Funded by DFG Cluster of Excellence "MATH+"
2016-19	Space-time methods for the computation and analysis of coherent families Funded by DFG-SPP 1881 "Turbulent Superstructures"