Thomas Bäck

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 313

Top Venues

Technical University of Dortmund, Germany (PHD)

Education History

Technical University of Dortmund, Germany

PHD

Publications

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. CoRR (2024)
Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO (2024)
Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
Automated machine learning: past, present and future. Artif. Intell. Rev. 57 (5) (2024)
Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. CoRR (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR (2024)
Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. CoRR (2024)
Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck
Reasoning with Large Language Models, a Survey. CoRR (2024)
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
Explainable Benchmarking for Iterative Optimization Heuristics. CoRR (2024)
Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. GECCO (2024)
Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb
Parallel multi-objective optimization for expensive and inexpensive objectives and constraints. Swarm Evol. Comput. 86 (2024)
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. GECCO (2024)
Roman Kalkreuth, Thomas Bäck
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. CoRR (2024)
Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein
A Critical Analysis of Raven Roost Optimization. GECCO Companion (2024)
Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn
Hyperparameter importance and optimization of quantum neural networks across small datasets. Mach. Learn. 113 (4) (2024)
Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb
Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. GECCO Companion (2024)
Wei Liu, Thomas Bäck, Yingjie Fan
Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization. CEC (2024)
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR (2024)
Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. GECCO Companion (2024)
Niki van Stein, Thomas Bäck
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics. CoRR (2024)
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
Automated Federated Learning via Informed Pruning. CoRR (2024)
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
Transfer Learning of Surrogate Models via Domain Affine Transformation. GECCO (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO (2024)
Roy de Winter, Thomas Bäck, Niki van Stein
Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems. GECCO Companion (2024)
Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. CoRR (2024)
Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR (2024)
Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data. CoRR (2024)
Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification. CoRR (2024)
Roman Kalkreuth, Thomas Bäck
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. GECCO (2024)
Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck
Classification-based process parameter recommendation in sheet metal forming. J. Ind. Inf. Integr. 34 (2023)
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. CoRR (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. GECCO (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. AutoML (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI (2023)
Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models. CoRR (2023)
André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. IJCCI (2023)
Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer
The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. EMO (2023)
Sebastiaan Brand, Thomas Bäck, Alfons Laarman
A Decision Diagram Operation for Reachability. FM (2023)
Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. CoRR (2023)
Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang
Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE (2023)
Jiajie Fan, Laure Vuaille, Hao Wang, Thomas Bäck
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis. CoRR (2023)
Xishu Li, Maurits de Groot, Thomas Bäck
Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand. Decis. Sci. 54 (4) (2023)
Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. GECCO Companion (2023)
Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 18 (1) (2023)
Alexander Zeiser, Bekir Özcan, Bas van Stein, Thomas Bäck
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection. Comput. Ind. 146 (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
General Boolean Function Benchmark Suite. FOGA (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. CoRR (2023)
Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
Clustering-based Domain-Incremental Learning. ICCV (Workshops) (2023)
Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
Deep multiagent reinforcement learning: challenges and directions. Artif. Intell. Rev. 56 (6) (2023)
Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko
Application of quantum-inspired generative models to small molecular datasets. QCE (2023)
David Von Dollen, Reuben Brasher, Florian Neukart, Thomas Bäck
Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies. CiSt (2023)
Maarten C. Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova
Disentangling causality: assumptions in causal discovery and inference. Artif. Intell. Rev. 56 (9) (2023)
Alexander Zeiser, Bekir Özcan, Christoph Kracke, Bas van Stein, Thomas Bäck
A data-centric approach to anomaly detection in layer-based additive manufacturing. Autom. 71 (1) (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. CoRR (2023)
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing. CoRR (2023)
Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. CoRR (2023)
André Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bäck
Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. EMO (2023)
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO (2023)
Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko
Application of quantum-inspired generative models to small molecular datasets. CoRR (2023)
André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
Optimizing CMA-ES with CMA-ES. IJCCI (2023)
Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
Towards a General Boolean Function Benchmark Suite. GECCO Companion (2023)
Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO (2023)
Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
Clustering-based Domain-Incremental Learning. CoRR (2023)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion (2023)
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing. IJCCI (2023)
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. FOGA (2023)
Dani Irawan, Boris Naujoks, Thomas Bäck, Michael Emmerich
Dominance-based variable analysis for large-scale multi-objective problems. Nat. Comput. 22 (2) (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR (2023)
Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. 26 (3-4) (2022)
Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko
Equivariant quantum circuits for learning on weighted graphs. CoRR (2022)
Roy de Winter, Bas van Stein, Thomas Bäck
Multi-point acquisition function for constraint parallel efficient multi-objective optimization. GECCO (2022)
Jacob de Nobel, Anna V. Kononova, Jeroen Briaire, Johan H. M. Frijns, Thomas Bäck
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve. CoRR (2022)
Sebastiaan Brand, Thomas Bäck, Alfons Laarman
A Decision Diagram Operation for Reachability. CoRR (2022)
Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines. J. Aerosp. Inf. Syst. 19 (6) (2022)
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. PPSN (1) (2022)
Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
Learning the characteristics of engineering optimization problems with applications in automotive crash. GECCO (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. GECCO Companion (2022)
Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications. CoRR (2022)
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. 26 (2) (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. GECCO Companion (2022)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO Companion (2022)
David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck
Quantum-enhanced selection operators for evolutionary algorithms. GECCO Companion (2022)
Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. CoRR (2022)
Fan Yang, Marios Kefalas, Milan Koch, Anna V. Kononova, Yanan Qiao, Thomas Bäck
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data. ICCAE (2022)
David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck
Quantum-Enhanced Selection Operators for Evolutionary Algorithms. CoRR (2022)
Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
Saliency Can Be All You Need In Contrastive Self-Supervised Learning. CoRR (2022)
Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. CoRR (2022)
Furong Ye, Diederick L. Vermetten, Carola Doerr, Thomas Bäck
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace. CoRR (2022)
Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. IEEE Trans. Evol. Comput. 26 (6) (2022)
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. GECCO (2022)
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 (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10 (2022)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion (2022)
Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko
Reinforcement Learning Assisted Recursive QAOA. CoRR (2022)
Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. SSCI (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas Bäck