Niki van Stein

Venues

Frequent coauthors

Papers

1. Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
   GECCO 2026 ·

   Francesca Da Ros

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2. Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking
   GECCO 2026 ·

   Furong Ye

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3. EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions
   GECCO 2026 ·

   Johana Chen

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4. How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
   AAAI 2026 ·

   Xi Chen

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5. LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
   GECCO 2026 ·

   Wenhu Li

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6. Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
   GECCO 2026 ·

   Haoran Yin

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7. Large Language Models for Metaheuristic Design: Exploring Challenges, Limitations, Tools, Benchmarking and Future Opportunities
   GECCO 2026 ·

   Roman Senkerik

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8. Optimizing for Difference: LLM-Driven Benchmark Design for Maximum Solver Discriminability
   GECCO 2026 ·

   Ananta Shahane

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9. Structural Bias in Multi-objective Optimization
   GECCO 2026 ·

   Jakub Kudela

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10. BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
    GECCO 2025 · Niki van Stein
11. Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
    GECCO 2025 · Niki van Stein
12. EconoJax: A Fast & Scalable Economic Simulation in JAX
    AAMAS 2025 ·

    Koen Ponse

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13. Explainable Benchmarking for Iterative Optimization Heuristics
    GECCO 2025 · Niki van Stein
14. LLaMEA: Automatically Generating Metaheuristics with Large Language Models
    GECCO 2025 · Niki van Stein
15. Neighborhood Adaptive Differential Evolution
    GECCO 2025 · Niki van Stein
16. Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
    GECCO 2025 ·

    Haoran Yin

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17. Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
    NeurIPS 2025 ·

    Zhong Li

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18. Structural bias in optimization algorithms
    GECCO 2025 ·

    Anna V. Kononova

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19. A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories
    PPSN 2024 · Niki van Stein
20. Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification
    PPSN 2024 ·

    Fu Xing Long

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