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ORCIDElena Raponi
Person information
- affiliation: TU Munich, School of Engineering and Design, Germany
- affiliation: Sorbonne Université, Paris, France
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2020 – today
- 2024
[i8]Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Automated Federated Learning via Informed Pruning. CoRR abs/2405.10271 (2024)- 2023
- [c6]Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer:
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. AutoML 2023: 6/1-50 - [c5]Carolin Benjamins
, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer:
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. GECCO Companion 2023: 483-486 - [c4]Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. GECCO Companion 2023: 2390-2393 - [i7]Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. CoRR abs/2303.00890 (2023) - [i6]Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer:
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. CoRR abs/2306.04262 (2023) - [i5]Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud:
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. CoRR abs/2310.00077 (2023) - 2022
- [j2]Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. van Ham, Thomas Bäck:
A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction. IEEE Access 10: 103364-103381 (2022) - [j1]Bas van Stein, Elena Raponi:
GSAreport: Easy to Use Global Sensitivity Reporting. J. Open Source Softw. 7(78): 4721 (2022) - [c3]Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr:
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. PPSN (1) 2022: 118-131 - [i4]Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr:
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. CoRR abs/2204.13753 (2022) - [i3]Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr:
PI is back! Switching Acquisition Functions in Bayesian Optimization. CoRR abs/2211.01455 (2022) - [i2]Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr:
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. CoRR abs/2211.09678 (2022) - 2020
- [c2]Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr:
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. PPSN (1) 2020: 169-183 - [i1]Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr:
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. CoRR abs/2007.00925 (2020)
2010 – 2019
- 2019
- [c1]Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck:
Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. IJCCI 2019: 70-81
Coauthor Index
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