Nils Müller

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 14

Top Topics

Lognormal Distribution

Reinforcement Learning

Global Optimization

Top Venues

J. Comput. Phys.

Publications

Victor Morand, Nils Müller, Ryan Weightman, Benedetto Piccoli, Alexander Keimer, Alexandre M. Bayen
Deep learning of first-order nonlinear hyperbolic conservation law solvers. J. Comput. Phys. 511 (2024)
Nils Müller
A Principle for Global Optimization with Gradients. CoRR (2023)
Nils Müller, Kaibin Bao, Jörg Matthes, Kai Heussen
CyPhERS: A cyber-physical event reasoning system providing real-time situational awareness for attack and fault response. Comput. Ind. 151 (2023)
Nils Müller, Kaibin Bao, Jörg Matthes, Kai Heussen
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response. CoRR (2023)
Nils Müller, Charalampos Ziras, Kai Heussen
Assessment of Cyber-Physical Intrusion Detection and Classification for Industrial Control Systems. CoRR (2022)
Oliver Kraft, Oliver Pohl, Ulf Häger, Kai Heussen, Nils Müller, Zeeshan Afzal, Mathias Ekstedt, Hossein Farahmand, Dmytro Ivanko, Ankit Singh, Sasiphong Leksawat, Andreas Kubis
Development and Implementation of a Holistic Flexibility Market Architecture. ISGT (2022)
Nils Müller, Charalampos Ziras, Kai Heussen
Assessment of Cyber-Physical Intrusion Detection and Classification for Industrial Control Systems. SmartGridComm (2022)
Nils Müller, Carsten Heinrich, Kai Heussen, Henrik W. Bindner
Unsupervised detection and open-set classification of fast-ramped flexibility activation events. CoRR (2021)
Nils Müller, Tobias Glasmachers
Non-local optimization: imposing structure on optimization problems by relaxation. FOGA (2021)
Nils Müller, Zeeshan Afzal, Per Eliasson, Mathias Ekstedt, Kai Heussen
Threat Scenarios and Monitoring Requirements for Cyber-Physical Systems of Energy Flexibility Markets. CoRR (2021)
Nils Müller, Samuel Chevalier, Carsten Heinrich, Kai Heussen, Charalampos Ziras
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources. CoRR (2021)
Nils Müller, Tobias Glasmachers
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation. CoRR (2020)
Nils Müller, Tobias Glasmachers
Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies. PPSN (2) (2018)
Nils Müller, Tobias Glasmachers
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies. CoRR (2018)
Horst Wildemann, Michael F. Zäh, Nils Müller, Ulrich Krauß, Markus Loth
Wandlungsfähige Auftragsabwicklung als Voraussetzung für effizientes Produzieren in Netzwerken. Wirtschaftsinformatik (2005)