| 2026 | AAAI | How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding. | Xi Chen, Aske Plaat, Niki van Stein |
| 2026 | GECCO | EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions. | Johana Chen, Niki van Stein, Robert Cabri, Thomas Bck, Anna V. Kononova |
| 2026 | GECCO | Structural Bias in Multi-objective Optimization. | Jakub Kudela, Niki van Stein, Thomas Bck, Anna Kononova |
| 2026 | GECCO | LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms. | Wenhu Li, Niki van Stein, Thomas Bck, Elena Raponi |
| 2026 | GECCO | Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment. | Francesca Da Ros, Tarik Zaciragic, Aske Plaat, Thomas Bck, Niki van Stein |
| 2026 | GECCO | Large Language Models for Metaheuristic Design: Exploring Challenges, Limitations, Tools, Benchmarking and Future Opportunities. | Roman Senkerik, Niki van Stein, Adam Viktorin, Michal Pluhacek, Thomas Bck |
| 2026 | GECCO | Optimizing for Difference: LLM-Driven Benchmark Design for Maximum Solver Discriminability. | Ananta Shahane, Niki van Stein |
| 2026 | GECCO | Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking. | Furong Ye, Frank Neumann, Thomas Bck, Niki van Stein |
| 2026 | GECCO | Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization. | Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna Kononova, Thomas Bck, Niki van Stein |
| 2025 | GECCO | Structural bias in optimization algorithms. | Anna V. Kononova, Niki van Stein |
| 2025 | GECCO | Neighborhood Adaptive Differential Evolution. | Niki van Stein |
| 2025 | GECCO | LLaMEA: Automatically Generating Metaheuristics with Large Language Models. | Niki van Stein, Thomas Bck |
| 2025 | GECCO | Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. | Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bck |
| 2025 | GECCO | BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics. | Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bck |
| 2025 | GECCO | Explainable Benchmarking for Iterative Optimization Heuristics. | Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bck |
| 2025 | GECCO | Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. | Haoran Yin, Anna V. Kononova, Thomas Bck, Niki van Stein |
| 2025 | IJCCI | Mechanistic Interpretability for Transformer-Based Time Series Classification. | Matiss Kalnare, Sofoklis Kitharidis, Thomas Bck, Niki van Stein |
| 2025 | IJCCI | Multi-subspace SVD Generators for Continual Learning. | Christiaan Lamers, Ahmed Nabil Belbachir, Thomas Bck, Niki van Stein |
| 2025 | IJCCI | Behaviour Space Analysis of LLM-Driven Meta-Heuristic Discovery. | Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bck, Gabriela Ochoa |
| 2025 | IJCNN | Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects. | Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian Knig, Thomas Bck, Elena Raponi, Niki van Stein |
| 2025 | ICTAI | EvoCAD: Evolutionary CAD Code Generation with Vision Language Models. | Tobias Preintner, Weixuan Yuan, Adrian Knig, Thomas Bck, Elena Raponi, Niki van Stein |
| 2024 | GECCO | A Functional Analysis Approach to Symbolic Regression. | Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein, Anna V. Kononova |
| 2024 | GECCO | A Critical Analysis of Raven Roost Optimization. | Martijn Halsema, Diederick Vermetten, Thomas Bck, Niki van Stein |
| 2024 | GECCO | A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem. | Ananta Shahane, Niki van Stein, Yingjie Fan |
| 2024 | GECCO | Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems. | Roy de Winter, Thomas Bck, Niki van Stein |
| 2024 | GECCO | Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. | Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bck, Kalyanmoy Deb |
| 2024 | IJCCI | Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI. | Anthonie Schaap, Sofoklis Kitharidis, Niki van Stein |
| 2024 | PPSN | Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification. | Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bck, Niki van Stein |
| 2024 | PPSN | A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. | Niki van Stein, Sarah L. Thomson, Anna V. Kononova |
| 2023 | FOGA | Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. | Kirill A. Antonov, Anna V. Kononova, Thomas Bck, Niki van Stein |
| 2023 | IJCCI | Challenges of ELA-Guided Function Evolution Using Genetic Programming. | Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein |
| 2023 | IJCCI | The Opaque Nature of Intelligence and the Pursuit of Explainable AI. | Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen |