Niki van Stein

101 papers A* 1A 4B 3C 5Journal 58Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey of features used for representing black-box single-objective continuous optimization.
Swarm Evol. Comput.
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2026 J jnl
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment.
CoRR
Francesca Da Ros, Tarik Zaciragic, Aske Plaat, Thomas Bäck, Niki van Stein
2026 J jnl
Bridging Racial and Age Gaps in Face Recognition: A Data-Augmentation Framework for Fair AI.
SN Comput. Sci.
Sofoklis Kitharidis, Anthonie Schaap, Thomas Bäck, Niki van Stein
2026 — ed.
Computational Intelligence - 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22-24, 2025, Proceedings, Part I
IJCCI (1)
Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe
2026 — ed.
Computational Intelligence - 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22-24, 2025, Proceedings, Part II
IJCCI (2)
Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe
2026 — ed.
Computational Intelligence - 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22-24, 2025, Proceedings, Part III
IJCCI (3)
Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe
2026 J jnl
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors.
CoRR
Qi Huang, Furong Ye, Ananta Shahane, Thomas Bäck, Niki van Stein
2026 A* conf
How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding.
AAAI
Xi Chen, Aske Plaat, Niki van Stein
2026 J jnl
Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study.
CoRR
Jelle Westra, Iván Olarte Rodríguez, Niki van Stein, Thomas Bäck, Elena Raponi
2026 J jnl
LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties.
CoRR
Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, Heike Trautmann
2026 J jnl
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI.
CoRR
Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2026 J jnl
Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization.
CoRR
Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna V. Kononova, Thomas Bäck, Niki van Stein
2026 J jnl
Lens-descriptor guided evolutionary algorithm for optimization of complex optical systems with glass choice.
CoRR
Kirill A. Antonov, Teus Tukker, Tiago Botari, Thomas H. W. Bäck, Anna V. Kononova, Niki van Stein
2026 J jnl
Multi-Step Reasoning with Large Language Models, a Survey.
ACM Comput. Surv.
Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck
2026 J jnl
State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models.
CoRR
Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V. Kononova
2026 J jnl
State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models.
Trans. Mach. Learn. Res.
Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V. Kononova
2026 J jnl
Structural bias in multi-objective optimisation.
CoRR
Jakub Kudela, Niki van Stein, Thomas Bäck, Anna V. Kononova
2025 J jnl
Agentic Large Language Models, a Survey.
J. Artif. Intell. Res.
Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
2025 J jnl
Agentic Large Language Models, a survey.
CoRR
Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
2025 J jnl
Automated Algorithm Design for Auto-Tuning Optimizers.
CoRR
Floris-Jan Willemsen, Niki van Stein, Ben van Werkhoven
2025 — conf
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics.
GECCO Companion
Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck
2025 J jnl
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics.
CoRR
Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck
2025 — conf
Behaviour Space Analysis of LLM-Driven Meta-Heuristic Discovery.
IJCCI (2)
Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bäck, Gabriela Ochoa
2025 J jnl
Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery.
CoRR
Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bäck, Gabriela Ochoa
2025 J jnl
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.
CoRR
Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025 J jnl
CoComposer: LLM Multi-agent Collaborative Music Composition.
CoRR
Peiwen Xing, Aske Plaat, Niki van Stein
2025 A conf
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms.
GECCO
Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2025 J jnl
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms.
CoRR
Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2025 — conf
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms.
EvoApplications (2)
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025 J jnl
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions.
CoRR
Zhong Li, Qi Huang, Lincen Yang, Jiayang Shi, Zhao Yang, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen
2025 A conf
EconoJax: A Fast & Scalable Economic Simulation in JAX.
AAMAS
Koen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland
2025 B conf
EvoCAD: Evolutionary CAD Code Generation with Vision Language Models.
ICTAI
Tobias Preintner, Weixuan Yuan, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2025 J jnl
EvoCAD: Evolutionary CAD Code Generation with Vision Language Models.
CoRR
Tobias Preintner, Weixuan Yuan, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2025 J jnl
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems.
IEEE Trans. Evol. Comput.
Ryan Zhou, Jaume Bacardit, Alexander Edward Ian Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu
2025 J jnl
Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications.
CoRR
Dikshit Chauhan, Bapi Dutta, Indu Bala, Niki van Stein, Thomas Bäck, Anupam Yadav
2025 — conf
Explainable Benchmarking for Iterative Optimization Heuristics.
GECCO Companion
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025 J jnl
Explainable Benchmarking for Iterative Optimization Heuristics.
ACM Trans. Evol. Learn. Optim.
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025 J jnl
From Performance to Understanding: A Vision for Explainable Automated Algorithm Design.
CoRR
Niki van Stein, Anna V. Kononova, Thomas Bäck
2025 B conf
Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification.
IEEE Big Data
Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Niki van Stein
2025 J jnl
How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding.
CoRR
Xi Chen, Aske Plaat, Niki van Stein
2025 J jnl
LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms.
CoRR
Wenhu Li, Niki van Stein, Thomas Bäck, Elena Raponi
2025 J jnl
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics.
IEEE Trans. Evol. Comput.
Niki van Stein, Thomas Bäck
2025 — conf
LLaMEA: Automatically Generating Metaheuristics with Large Language Models.
GECCO Companion
Niki van Stein, Thomas Bäck
2025 J jnl
Leveraging Lightweight Generators for Memory Efficient Continual Learning.
CoRR
Christiaan Lamers, Ahmed Nabil Belbachir, Thomas Bäck, Niki van Stein
2025 — conf
Mechanistic Interpretability for Transformer-Based Time Series Classification.
IJCCI (3)
Matiss Kalnare, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2025 J jnl
Mechanistic Interpretability for Transformer-based Time Series Classification.
CoRR
Matiss Kalnare, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2025 — conf
Multi-subspace SVD Generators for Continual Learning.
IJCCI (3)
Christiaan Lamers, Ahmed Nabil Belbachir, Thomas Bäck, Niki van Stein
2025 — conf
Neighborhood Adaptive Differential Evolution.
GECCO Companion
Niki van Stein
2025 — conf
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery.
GECCO Companion
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025 J jnl
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery.
CoRR
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025 — conf
Reasoning Capabilities of Large Language Models on Dynamic Tasks.
FLLM
Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V. Kononova
2025 J jnl
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching.
CoRR
Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Niki van Stein, Matthijs van Leeuwen
2025 — conf
Stalling in Space: Attractor Analysis for Any Algorithm.
EvoApplications (2)
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2025 — conf
Structural bias in optimization algorithms.
GECCO Companion
Anna V. Kononova, Niki van Stein
2025 J jnl
Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models.
CoRR
Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V. Kononova
2025 — conf
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space.
AEQUITAS@ECAI
Sofoklis Kitharidis, Cor J. Veenman, Thomas Bäck, Niki van Stein
2025 J jnl
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space.
CoRR
Sofoklis Kitharidis, Cor J. Veenman, Thomas Bäck, Niki van Stein
2025 B conf
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects.
IJCNN
Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2025 J jnl
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects.
CoRR
Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2024 — conf
A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem.
GECCO Companion
Ananta Shahane, Niki van Stein, Yingjie Fan
2024 — conf
A Critical Analysis of Raven Roost Optimization.
GECCO Companion
Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein
2024 — conf
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories.
PPSN (2)
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
2024 J jnl
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories.
CoRR
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
2024 A conf
A Functional Analysis Approach to Symbolic Regression.
GECCO
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024 J jnl
A Functional Analysis Approach to Symbolic Regression.
CoRR
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024 J jnl
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization.
CoRR
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2024 — conf
ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric Vehicle Routing Problems.
ITSC
Suzan Al-Nassar, Niki van Stein, Yingjie Fan
2024 J jnl
Automated Federated Learning via Informed Pruning.
CoRR
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024 — conf
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI.
xAI (1)
Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein
2024 J jnl
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI.
CoRR
Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein
2024 J jnl
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms.
CoRR
Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2024 J jnl
EconoJax: A Fast & Scalable Economic Simulation in Jax.
CoRR
Koen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland
2024 J jnl
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.
CoRR
Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu
2024 J jnl
Explainable Benchmarking for Iterative Optimization Heuristics.
CoRR
Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2024 — conf
Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints.
GECCO Companion
Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb
2024 J jnl
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics.
CoRR
Niki van Stein, Diederick Vermetten, Thomas Bäck
2024 J jnl
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics.
CoRR
Niki van Stein, Thomas Bäck
2024 — conf
Landscape Analysis Based vs. Domain-Specific Optimization for Engineering Design Applications: A Clear Case.
CAI
Roy de Winter, Fu Xing Long, André Thomaser, Thomas H. W. Bäck, Niki van Stein, Anna V. Kononova
2024 — conf
Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification.
PPSN (2)
Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein
2024 J jnl
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification.
CoRR
Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein
2024 — conf
Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems.
GECCO Companion
Roy de Winter, Thomas Bäck, Niki van Stein
2024 J jnl
Parallel multi-objective optimization for expensive and inexpensive objectives and constraints.
Swarm Evol. Comput.
Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb
2024 C ed.
Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI 2024, Porto, Portugal, November 20-22, 2024.
IJCCI
Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe
2024 — ed.
Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, EXPLAINS 2024, Porto, Portugal, November 20-22, 2024.
EXPLAINS
Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe
2024 J jnl
Reasoning with Large Language Models, a Survey.
CoRR
Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck
2024 J jnl
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms.
CoRR
Kirill A. Antonov, Marijn Siemons, Niki van Stein, Thomas H. W. Bäck, Ralf Kohlhaas, Anna V. Kononova
2024 J jnl
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification.
CoRR
Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein
2024 J jnl
Stalling in Space: Attractor Analysis for any Algorithm.
CoRR
Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova
2024 — conf
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification.
EXPLAINS
Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2024 J jnl
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification.
CoRR
Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2024 C conf
Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI.
IJCCI
Anthonie Schaap, Sofoklis Kitharidis, Niki van Stein
2023 — conf
AI for Expensive Optimization Problems in Industry.
CAI
Niki van Stein, Roy de Winter, Thomas Bäck, Anna V. Kononova
2023 — conf
Application of Functional Kernel Hypothesis Testing for Channel Selection in Time Series Classification.
CAI
Qi Huang, Thomas Bäck, Niki van Stein
2023 C conf
Challenges of ELA-Guided Function Evolution Using Genetic Programming.
IJCCI
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 J jnl
Challenges of ELA-guided Function Evolution using Genetic Programming.
CoRR
Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023 — conf
Clustering-based Domain-Incremental Learning.
ICCV (Workshops)
Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023 J jnl
Clustering-based Domain-Incremental Learning.
CoRR
Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023 A conf
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations.
FOGA
Kirill A. Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
2023 C ed.
Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023, Rome, Italy, November 13-15, 2023.
IJCCI
Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe
2023 J jnl
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems.
CoRR
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
2023 C conf
The Opaque Nature of Intelligence and the Pursuit of Explainable AI.
IJCCI
Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen