Biblio
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(2023). Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows.
IEEE Transactions on Smart Grid.
(2021). Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual. 
Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
(2021). Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
(2020). Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms.
FIG Working Week 2020. Fig2020.pdf (876.57 KB)
Fig2020.pdf (876.57 KB)
(2014). STE-QUEST — Test of the universality of free fall using cold atom interferometry.
Classical and Quantum Gravity. 31, 115010. Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
(2007). Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay.
Journal of biomolecular screening. 12, 1042–1049.
(2004). Coupled ion and network dynamics in polymer electrolytes: Monte Carlo study of a lattice model.
The Journal of chemical physics. 121, 12732–12739.
(2004). A technique for verifying the smoothness of subdivision schemes.
(Lucian, M.L., & Neamtu M., Ed.).Geometric Modeling and Computing: Seattle 2003. subSchemes.pdf (110.4 KB)
subSchemes.pdf (110.4 KB)
(2003). Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.
(Nunes, U., de Almeida A., Bejczy A., Kosuge K., & Machado J., Ed.).{Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458. Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
(2002). Diffusion in polymer electrolytes and the dynamic percolation model.
Solid state ionics. 149, 125–130.
(2002). Dynamic percolation theory for particle diffusion in a polymer network.
The Journal of chemical physics. 117, 441–447.
(2002). Effective medium theory of conduction in stretched polymer electrolytes.
arXiv preprint cond-mat/0202165.
(2001). Charge Transport in Polymer Ion Conductors: a Monte Carlo Study.
arXiv preprint cond-mat/0106197.
(2001). Model studies of diffusion in glassy and polymer ion conductors.
arXiv preprint cond-mat/0106196.
(1999). Can fly tangential neurons be used to estimate self-motion?.
(Willshaw, D., & Murray A., Ed.).{Proc. of the 9th Intl. Conf. on Artificial Neural Networks (ICANN 1999)}. CP 470, 994-999. Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
(1999). Percolation concepts in solid state ionics.
Physica A: Statistical Mechanics and its Applications. 266, 229–237.
(1999). Stochastic modelling of ion diffusion in complex systems.
Anomalous Diffusion From Basics to Applications. 175–185.
(1997). The view-graph approach to visual navigation and spatial memory.
(Gerstner, W., Germond A., Hasler M., & Nicoud J.-D., Ed.).{Proc. of the 7th Intl. Conf. on Artificial Neural Networks (ICANN 97)}. 1327, 751 – 756. Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)
Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)