Florian Steinke

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Citations	3486	1506
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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Thomas HamacherTechnical University of MunichVerified email at tum.de
Tim JankeEnergy Information Networks & Systems @ TU DarmstadtVerified email at eins.tu-darmstadt.de
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinVerified email at amazon.de
Guillaume CharpiatINRIA (Saclay)Verified email at inria.fr
Volker TrespLudwig Maximilian University of Munich / München (LMU)Verified email at dbs.ifi.lmu.de
Edwin MoraSiemens AGVerified email at siemens.com
Kim, Kwang InDept. of Electrical Engineering & Graduate School of Artificial Intelligence, POSTECHVerified email at postech.ac.kr
Emanuele Della VallePolitecnico di MilanoVerified email at polimi.it
Anja KleinProfessor of Communications Engineering, Technische Universität Darmstadt, GermanyVerified email at nt.tu-darmstadt.de
Irene CelinoHead of Knowledge Technologies Unit at CefrielVerified email at cefriel.com
Daniele Dell'AglioAssociate professor at Aalborg UniversityVerified email at cs.aau.dk
Ulrich MuenzSiemens TechnologyVerified email at siemens.com
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Dirk Uwe SauerRWTH Aachen University / Forschungszentrum JülichVerified email at isea.rwth-aachen.de
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com

Florian Steinke

Professor, Energy Information Networks & Systems, TU Darmstadt

Verified email at eins.tu-darmstadt.de - Homepage

power systems smart grid machine learning optimization resilience


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MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration M Hofmann, F Steinke, V Scheel, G Charpiat, J Farquhar, P Aschoff, ... Journal of nuclear medicine 49 (11), 1875-1883, 2008	606	2008
Grid vs. storage in a 100% renewable Europe F Steinke, P Wolfrum, C Hoffmann Renewable Energy 50, 826-832, 2013	423	2013
Bayesian inference and optimal design in the sparse linear model M Seeger, F Steinke, K Tsuda Artificial Intelligence and Statistics, 444-451, 2007	376	2007
Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where? K Schaber, F Steinke, T Hamacher Energy Policy 43, 123-135, 2012	359	2012
MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation-and atlas-based methods M Hofmann, I Bezrukov, F Mantlik, P Aschoff, F Steinke, T Beyer, ... Journal of Nuclear Medicine 52 (9), 1392-1399, 2011	332	2011
Parametric study of variable renewable energy integration in Europe: Advantages and costs of transmission grid extensions K Schaber, F Steinke, P Mühlich, T Hamacher Energy policy 42, 498-508, 2012	218	2012
Semi-supervised regression using hessian energy with an application to semi-supervised dimensionality reduction K Kim, F Steinke, M Hein Advances in Neural Information Processing Systems 22, 2009	127	2009
Support vector machines for 3D shape processing F Steinke, B Schölkopf, V Blanz Computer Graphics Forum 24 (3), 285-294, 2005	107	2005
Learning similarity measure for multi-modal 3D image registration D Lee, M Hofmann, F Steinke, Y Altun, ND Cahill, B Scholkopf 2009 IEEE Conference on Computer Vision and Pattern Recognition, 186-193, 2009	100	2009
Managing temporary oversupply from renewables efficiently: Electricity storage versus energy sector coupling in germany K Schaber, F Steinke, T Hamacher international energy workshop, Paris, 2013	68	2013
Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models F Steinke, M Seeger, K Tsuda BMC systems biology 1 (1), 1-15, 2007	65	2007
Kernels, regularization and differential equations F Steinke, B Schölkopf Pattern Recognition 41 (11), 3271-3286, 2008	55	2008
Nonparametric regression between general Riemannian manifolds F Steinke, M Hein, B Schölkopf SIAM Journal on Imaging Sciences 3 (3), 527-563, 2010	52	2010
Non-parametric regression between manifolds F Steinke, M Hein Advances in neural information processing systems 21, 2008	47	2008
Forecasting the price distribution of continuous intraday electricity trading T Janke, F Steinke Energies 12 (22), 4262, 2019	46	2019
The energy system development plan (ESDP) S Raths, S Koopmann, C Müller, A Meinerzhagen, T Falke, M Cramer, ... International ETG Congress 2015; Die Energiewende-Blueprints for the new …, 2015	40	2015
Object correspondence as a machine learning problem B Schölkopf, F Steinke, V Blanz Proceedings of the 22nd international conference on Machine learning, 776-783, 2005	38	2005
A novel metric for information retrieval in semantic networks JL Moore, F Steinke, V Tresp The Semantic Web: ESWC 2011 Workshops: ESWC 2011 Workshops, Heraklion …, 2012	24	2012
Learning dense 3d correspondence F Steinke, V Blanz, B Schölkopf Advances in Neural Information Processing Systems 19, 2006	24	2006
Semantic traffic-aware routing using the larkc platform E Della Valle, I Celino, D Dell'Aglio, R Grothmann, F Steinke, V Tresp IEEE Internet Computing 15 (6), 15-23, 2011	22	2011

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