Sebastian Schmitt

Citirano

	Sve	Od 2020.
Citati	1668	1267
H-indeks	19	13
i10-indeks	28	17

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OlhoferHonda Research Institute EuropePotvrđena adresa e-pošte na honda-ri.de
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayPotvrđena adresa e-pošte na liacs.leidenuniv.nl
Yaochu Jin, Chair Professor, MAE, Re...Department of Artificial Intelligence, Westlake University, ChinaPotvrđena adresa e-pošte na westlake.edu.cn
Xilu WangUniversity of SurreyPotvrđena adresa e-pošte na surrey.ac.uk
Andrea Castellani, PhDSenior Scientist at Honda Research Institute Europe GmbH (HRI-EU)Potvrđena adresa e-pošte na honda-ri.de
Frithjof B AndersTechnische University DortmundPotvrđena adresa e-pošte na tu-dortmund.de
stefano squartiniFull Professor in Electrical Engineering, Università Politecnica delle MarchePotvrđena adresa e-pošte na univpm.it
Sheir YarkoniLeiden UniversityPotvrđena adresa e-pošte na qhipu.ai
Elena RaponiLeiden University (LIACS)Potvrđena adresa e-pošte na liacs.leidenuniv.nl
Barbara HammerProfessor, Bielefeld UniversityPotvrđena adresa e-pošte na techfak.uni-bielefeld.de
Felix LanfermannHonda Research Institute EuropePotvrđena adresa e-pošte na honda-ri.de
Philipp HaukeUniversity of TrentoPotvrđena adresa e-pošte na mytum.de
Patricia WollstadtHonda Research Institute Europe GmbHPotvrđena adresa e-pošte na honda-ri.de
Hao WangLeiden UniversityPotvrđena adresa e-pošte na liacs.leidenuniv.nl
Steve LenkResearcher, Fraunhofer IOSB-ASTPotvrđena adresa e-pošte na iosb-ast.fraunhofer.de
Maciej LewensteinICFO - Institute of Photonic SciencesPotvrđena adresa e-pošte na icfo.eu
Valentin KasperKRC S.L.Potvrđena adresa e-pošte na icfo.net
Alberto BottarelliPhd Student, University of TrentoPotvrđena adresa e-pošte na unitn.it
Manuel S. RudolphPhD Candidate at EPFL - Working on quantum computing algorithms and classical simulation methodsPotvrđena adresa e-pošte na epfl.ch
Linus EkstromPhD StudentPotvrđena adresa e-pošte na honda-ri.de

Prati

Sebastian Schmitt

Honda Research Institute Europe GmbH

Potvrđena adresa e-pošte na honda-ri.de

Real-world machine learning applications anomaly detection optimization quantum physics quantum computing


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Quantum Annealing for Industry Applications: Introduction and Review S Yarkoni, E Raponi, T Bäck, S Schmitt Reports on Progress in Physics 85 (10), 104001, 2022	304	2022
Recent Advances in Bayesian Optimization X Wang, Y Jin, S Schmitt, M Olhofer ACM Computing Surveys, 2023	271	2023
Real photon scattering up to 10 MeV: the improved facility at the Darmstadt electron accelerator S-DALINAC P Mohr, J Enders, T Hartmann, H Kaiser, D Schiesser, S Schmitt, S Volz, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 1999	152	1999
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning A Castellani, S Schmitt, S Squartini IEEE Transactions on Industrial Informatics 17 (7), 4733-4742, 2020	147	2020
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization X Wang, Y Jin, S Schmitt, M Olhofer Information Sciences 519, 317-331, 2020	133	2020
Comparison between scattering-states numerical renormalization group and the Kadanoff-Baym-Keldysh approach to quantum transport: Crossover from weak to strong correlations S Schmitt, FB Anders Physical Review B—Condensed Matter and Materials Physics 81 (16), 165106, 2010	42	2010
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition P Wollstadt, S Schmitt, M Wibral Journal of Machine Learning Research 24 (131), 1--44, 2023	40	2023
study of Ru-based perovskite and E Jakobi, S Kanungo, S Sarkar, S Schmitt, T Saha-Dasgupta Physical Review B—Condensed Matter and Materials Physics 83 (4), 041103, 2011	40	2011
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times X Wang, Y Jin, S Schmitt, M Olhofer, R Allmendinger Knowledge-Based Systems 227, 107190, 2021	35	2021
Non-Fermi-liquid signatures in the Hubbard model due to van Hove singularities S Schmitt Physical Review B—Condensed Matter and Materials Physics 82 (15), 155126, 2010	35	2010
Conserving approximations in direct perturbation theory: new semianalytical impurity solvers and their application to general lattice problems N Grewe, S Schmitt, T Jabben, FB Anders Journal of Physics: Condensed Matter 20 (36), 365217, 2008	35	2008
Nonequilibrium Zeeman splitting in quantum transport through nanoscale junctions S Schmitt, FB Anders Physical review letters 107 (5), 056801, 2011	31	2011
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times X Wang, Y Jin, S Schmitt, M Olhofer Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 587-594, 2020	29	2020
Quantum approximate optimization algorithm for qudit systems Y Deller, S Schmitt, M Lewenstein, S Lenk, F Federer , M, Jendrzejewski, ... Phys. Rev. A 107, 062410, 2023	27	2023
Spectral properties of the two-impurity Anderson model with varying distance and various interactions T Jabben, N Grewe, S Schmitt Physical Review B—Condensed Matter and Materials Physics 85 (4), 045133, 2012	26	2012
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise A Castellani, S Schmitt, B Hammer Machine Learning and Knowledge Discovery in Databases. Research Track. (ECML …, 2021	23	2021
Task-Sensitive Concept Drift Detector with Constraint Embedding A Castellani, S Schmitt, B Hammer 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021	23	2021
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times X Wang, Y Jin, S Schmitt, M Olhofer Evolutionary computation 30 (2), 221-251, 2022	22	2022
Kinks in the electronic dispersion of the Hubbard model away from half filling P Grete, S Schmitt, C Raas, FB Anders, GS Uhrig Physical Review B—Condensed Matter and Materials Physics 84 (20), 205104, 2011	21	2011
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms. S Däubener, S Schmitt, H Wang, P Krause, T Bäck ICDM, 161-175, 2019	19	2019

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