Niki van Stein

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 23

Top Topics

Iterative Optimization

Routing Problem

Evolutionary Algorithm

Functional Analysis

Top Venues

GECCO Companion

Swarm Evol. Comput.

Publications

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
A Functional Analysis Approach to Symbolic Regression. CoRR (2024)
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization. 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)
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)
Niki van Stein, Sarah L. Thomson, Anna V. Kononova
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories. CoRR (2024)
Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein
A Critical Analysis of Raven Roost Optimization. GECCO Companion (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)
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)
Roy de Winter, Thomas Bäck, Niki van Stein
Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems. GECCO Companion (2024)
Ananta Shahane, Niki van Stein, Yingjie Fan
A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem. GECCO Companion (2024)
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
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR (2024)
Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification. CoRR (2024)
Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI. CoRR (2024)
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. CoRR (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)
Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
Clustering-based Domain-Incremental Learning. ICCV (Workshops) (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)
Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
Clustering-based Domain-Incremental Learning. CoRR (2023)
Sarah L. Thomson, Niki van Stein, Daan van den Berg, Cees van Leeuwen
The Opaque Nature of Intelligence and the Pursuit of Explainable AI. IJCCI (2023)
Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. FOGA (2023)