Elena Raponi

According to our database, Elena Raponi authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Feasibility-Driven Trust Region Bayesian Optimization.

Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian Duddeck

CoRR, June, 2025

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms.

Wenhu Li, Niki van Stein, Thomas Bäck, Elena Raponi

CoRR, May, 2025

Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects.

Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein

CoRR, May, 2025

Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym.

Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud

IEEE Trans. Evol. Comput., February, 2025

Cascading CMA-ES Instances for Generating Input-diverse Solution Batches.

Maria Laura Santoni, Christoph Dürr, Carola Doerr, Mike Preuss, Elena Raponi

CoRR, February, 2025

2024

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB.

Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr

ACM Trans. Evol. Learn. Optim., September, 2024

Automated Machine Learning For Computational Mechanics (Dagstuhl Seminar 24282).

Elena Raponi, Lars Kotthoff, Hyunsun Alicia Kim, Marius Lindauer

Dagstuhl Reports, 2024

Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization.

Maria Laura Santoni, Elena Raponi, Aneta Neumann, Frank Neumann, Mike Preuss, Carola Doerr

CoRR, 2024

Automated Federated Learning via Informed Pruning.

Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

CoRR, 2024

2023

Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60.

Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

GSAreport: Easy to Use Global Sensitivity Reporting.

Bas van Stein, Elena Raponi

J. Open Source Softw., October, 2022

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis.

Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr

CoRR, 2022

PI is back! Switching Acquisition Functions in Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr

CoRR, 2022

A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction.

Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. van Ham, Thomas Bäck

IEEE Access, 2022

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.

Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

2020

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.

Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization.

Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019