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Dive into the research topics where Gabriel Kronberger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Josef Ressel Zentrum für Symbolische Regression
Kronberger, G., Kommenda, M., Burlacu, B., Haider, C. A., Kammerer, L., Bachinger, F., Jödicke, D. & Beneder, M.
01.01.2018 → 31.12.2022
Project: Research Project
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McTronic - McTronic - Innovationslehrveranstaltung für angewandte Mechatronik
01.10.2013 → 30.09.2017
Project: Research Project
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Josef Ressel-Zentrum für Heuristische Optimierung - Josef Ressel-Center for Heuristic Optimization
Affenzeller, M., Beham, A., Kronberger, G., Kommenda, M., Dorfer, V., Pitzer, E., Fleck, P. & Hutterer, S.
01.10.2008 → 30.09.2013
Project: Research Project
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Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression
Haider, C., De França, F. O., Kronberger, G. & Burlacu, B., 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 938-945 8 p. (GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
Open Access -
Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain
Janout, H., Paier, T., Ringelhahn, C., Heckmann, M. K., Haghofer, A., Kronberger, G. & Winkler, S., 2022, International Conference on Industry 4.0 and Smart Manufacturing.Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression
Kronberger, G., 2 Sep 2022.Research output: Working paper › Preprint
File1 Downloads (Pure) -
Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge
Kronberger, G., França, F. O. D., Burlacu, B., Haider, C. & Kommenda, M., 1 Mar 2022, In: Evolutionary Computation. 30, 1, p. 75-98 24 p.Research output: Contribution to journal › Article › peer-review
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Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Burlacu, B., Kommenda, M., Kronberger, G., Winkler, S. & Affenzeller, M., 13 Jun 2022.Research output: Working paper › Preprint
File16 Downloads (Pure)
Activities
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The Genetic and Evolutionary Comutation Conference (GECCO) 2020 (Event)
Gabriel Kronberger (Member)
8 Jul 2020 → 12 Jul 2020Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2019) (Event)
Gabriel Kronberger (Member)
13 Jul 2019 → 17 Jul 2019Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2018) (Event)
Gabriel Kronberger (Member)
15 Jul 2018 → 19 Jul 2018Activity: Membership › Membership of committee
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Genetic and Evolutionary Computation Conference (GECCO 2017) (Event)
Gabriel Kronberger (Member)
15 Jul 2017 → 19 Jul 2017Activity: Membership › Membership of committee
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Modelling and Machine Learning for Estimation, Simulation, and Optimization
Gabriel Kronberger (Speaker)
28 Nov 2016Activity: Talk or presentation › Invited talk