Marius Lindauer

Получаване на мой собствен потребителски профил

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	Всички	От 2017
Позовавания	2270	1639
h-индекс	24	23
i10-индекс	40	35

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Съавтори

Frank HutterProfessor of Computer Science, University of Freiburg, GermanyПотвърден имейл адрес: cs.uni-freiburg.de
Torsten SchaubUniversity of PotsdamПотвърден имейл адрес: cs.uni-potsdam.de
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaПотвърден имейл адрес: cs.rwth-aachen.de
André BiedenkappPhD candidate, University of FreiburgПотвърден имейл адрес: cs.uni-freiburg.de
Katharina EggenspergerPhD Student, Machine Learning Lab, University of FreiburgПотвърден имейл адрес: informatik.uni-freiburg.de
Roland KaminskiUniversity of PotsdamПотвърден имейл адрес: cs.uni-potsdam.de
Matthias FeurerMachine Learning group, University of FreiburgПотвърден имейл адрес: informatik.uni-freiburg.de
Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairПотвърден имейл адрес: cs.ubc.ca
Martin GebserUniversity of Klagenfurt / Graz University of TechnologyПотвърден имейл адрес: aau.at
Stefan FalknerBosch Center for Artificial IntelligenceПотвърден имейл адрес: de.bosch.com
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichПотвърден имейл адрес: stat.uni-muenchen.de
Lars KotthoffUniversity of WyomingПотвърден имейл адрес: uwyo.edu
Theresa EimerDoctoral Researcher, Leibniz Universität HannoverПотвърден имейл адрес: tnt.uni-hannover.de
Chris FawcettPhD Student, University of British ColumbiaПотвърден имейл адрес: cs.ubc.ca
Jan N. van RijnLeiden UniversityПотвърден имейл адрес: liacs.leidenuniv.nl
Yuri MalitskyIBM ResearchПотвърден имейл адрес: us.ibm.com
Kevin TierneyBielefeld UniversityПотвърден имейл адрес: uni-bielefeld.de
Joaquin VanschorenEindhoven University of TechnologyПотвърден имейл адрес: tue.nl
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyПотвърден имейл адрес: tu-dresden.de
Alexandre FréchettePhD Student, University of British ColumbiaПотвърден имейл адрес: cs.ubc.ca

Marius Lindauer

Leibniz University Hannover (Germany)

Потвърден имейл адрес: tnt.uni-hannover.de - Начална страница

Machine Learning AutoML Reinforcement Learning Explainable Machine Learning Artificial Intelligence


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Potassco: The Potsdam answer set solving collection M Gebser, B Kaufmann, R Kaminski, M Ostrowski, T Schaub, M Schneider AI Communications 24 (2), 107-124, 2011	534	2011
Aslib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41-58, 2016	180	2016
AutoFolio: an automatically configured algorithm selector M Lindauer, HH Hoos, F Hutter, T Schaub Journal of Artificial Intelligence Research 53, 745-778, 2015	105	2015
A portfolio solver for answer set programming: Preliminary report M Gebser, R Kaminski, B Kaufmann, T Schaub, MT Schneider, S Ziller International Conference on Logic Programming and Nonmonotonic Reasoning …, 2011	90	2011
claspfolio 2: Advances in Algorithm Selection for Answer Set Programming H Hoos, M Lindauer, T Schaub Theory and Practice of Logic Programming 14 (Special Issue 4-5), 569--585, 2014	74	2014
AClib: A benchmark library for algorithm configuration F Hutter, M López-Ibánez, C Fawcett, M Lindauer, HH Hoos, ... International Conference on Learning and Intelligent Optimization, 36-40, 2014	70	2014
Practical automated machine learning for the automl challenge 2018 M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter International Workshop on Automatic Machine Learning at ICML, 1189-1232, 2018	67	2018
Best practices for scientific research on neural architecture search M Lindauer, F Hutter Journal of Machine Learning Research 21 (243), 1-18, 2020	64	2020
Potassco User Guide M Gebser, R Kaminski, B Kaufmann, M Lindauer, M Ostrowski, J Romero, ... Institute for Informatics, University of Potsdam, second edition edition, 2015	62*	2015
The configurable SAT solver challenge (CSSC) F Hutter, M Lindauer, A Balint, S Bayless, H Hoos, K Leyton-Brown Artificial Intelligence 243, 1-25, 2017	61	2017
A case study of algorithm selection for the traveling thief problem M Wagner, M Lindauer, M Mısır, S Nallaperuma, F Hutter Journal of Heuristics, 1-26, 2017	60	2017
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... arXiv preprint arXiv:2109.09831, 2021	57*	2021
Warmstarting of model-based algorithm configuration M Lindauer, F Hutter Thirty-Second AAAI Conference on Artificial Intelligence, 2018	51	2018
Towards Automatically-Tuned Deep Neural Networks H Mendoza, A Klein, M Feurer, JT Springenberg, M Urban, M Burkart, ... Automated Machine Learning, 135-149, 2019	50	2019
Auto-Sklearn 2.0: The Next Generation M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter arXiv preprint arXiv:2007.04074, 2020	48	2020
aspeed: Solver scheduling via answer set programming H HOOS, R KAMINSKI, M LINDAUER, T SCHAUB Theory and Practice of Logic Programming, 1-26, 2014	48*	2014
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL. L Zimmer, M Lindauer, F Hutter IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3079 …, 2021	45	2021
Efficient benchmarking of algorithm configurators via model-based surrogates K Eggensperger, M Lindauer, HH Hoos, F Hutter, K Leyton-Brown Machine Learning, 1-27, 2018	45	2018
Centurio, a general game player: Parallel, Java-and ASP-based M Möller, M Schneider, M Wegner, T Schaub KI-Künstliche Intelligenz 25 (1), 17-24, 2011	38	2011
From Sequential Algorithm Selection to Parallel Portfolio Selection M Lindauer, H Hoos, F Hutter Proceedings of international Conference on Learning and Intelligent …, 2015	34	2015

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