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Jan Viebahn
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Journal Articles
- 2017
- [j3]Sven Baars
, Jan Viebahn, Thomas E. Mulder
, Christian Kuehn
, Fred W. Wubs
, Henk A. Dijkstra:
Continuation of probability density functions using a generalized Lyapunov approach. J. Comput. Phys. 336: 627-643 (2017) - 2015
- [j2]Henk A. Dijkstra, Jan Viebahn:
Sensitivity and resilience of the climate system: A conditional nonlinear optimization approach. Commun. Nonlinear Sci. Numer. Simul. 22(Issues): 13-22 (2015) - 2014
- [j1]Jan Viebahn, Henk A. Dijkstra:
Critical Transition Analysis of the Deterministic Wind-Driven Ocean Circulation - A Flux-Based Network Approach. Int. J. Bifurc. Chaos 24(2) (2014)
Conference and Workshop Papers
- 2020
- [c2]Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aidan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero:
Learning to run a Power Network Challenge: a Retrospective Analysis. NeurIPS (Competition and Demos) 2020: 112-132 - 2016
- [c1]F. Inti Pelupessy, Ben van Werkhoven
, Arjen van Elteren, Jan Viebahn, Adam Candy
, Simon Portegies Zwart, Henk A. Dijkstra:
OMUSE: Oceanographic multipurpose software environment. eScience 2016: 399
Informal and Other Publications
- 2024
- [i6]Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova:
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions. CoRR abs/2407.19865 (2024) - 2023
- [i5]Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde:
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents. CoRR abs/2304.00765 (2023) - [i4]Blazej Manczak, Jan Viebahn, Herke van Hoof:
Hierarchical Reinforcement Learning for Power Network Topology Control. CoRR abs/2311.02129 (2023) - 2021
- [i3]Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aïdan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero:
Learning to run a Power Network Challenge: a Retrospective Analysis. CoRR abs/2103.03104 (2021) - 2020
- [i2]Sven Baars, Jan Viebahn, Thomas E. Mulder, Christian Kuehn, Fred W. Wubs, Henk A. Dijkstra:
Continuation of Probability Density Functions using a Generalized Lyapunov Approach. CoRR abs/2011.05690 (2020) - [i1]Medha Subramanian, Jan Viebahn, Simon H. Tindemans, Benjamin Donnot, Antoine Marot:
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach. CoRR abs/2011.13465 (2020)
Coauthor Index
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