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Papers matching “structural performance” 121

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A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Sarah L. Thomson, Anna V. Kononova

0

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
Deep-BIAS: Detecting Structural Bias using Explainable AI
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova

1

citations
Using Affine Combinations of BBOB Problems for Performance Assessment
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Furong Ye, Carola Doerr

1

citations
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
2026 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck

0

citations
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr

3

citations
Structural Node Embeddings with Homomorphism Counts
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

1

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

citations
Assessing the performance of implicit ensembling of neural networks for proteochemometric modeling with RandomNets
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods

Chiel Jespers, Olivier J. M. Béquignon, Mike Preuß, Gerard J. P. van Westen

0

citations
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Moein E. Samadi, Younes Müller, Andreas Schuppert

14

citations
AlphaFold meets de novo drug design: leveraging structural protein information in multi-target molecular generative models
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Andrius Bernatavicius, Martin Šícho, Antonius P. A. Janssen, Alan Kai Hassen, Mike Preuß, Gerard J. P. van Westen

1

citations
AlphaFold meets de novo drug design: leveraging structural protein information in multi-target molecular generative models
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Andrius Bernatavicius, Martin Šícho, Antonius P. A. Janssen, Alan Kai Hassen, Mike Preuß, Gerard J. P. van Westen

0

citations
Grand Challenges for Predictive Modeling in Small Molecule Drug Discovery
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Connor W. Coley, Pankaj Daga, Marco De Vivo, Willem Jespers, Ashutosh S. Jogalekar, S Roy Kimura, +7 more

1

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael Schaub, Mirco Tribastone, +1 more

0

citations
The Role of Causality in Algorithmic Recourse
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Srikanth Avasarala, Varun Gupta, Shahin Jabbari, Saber Salehkaleybar, Juba Ziani

0

citations
On the Relationship between Heterophily and Robustness of Graph Neural Networks.
2021 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

2

citations
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
2023 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

1

citations
Have We Really Understood Collaborative Information? An Empirical Investigation
2025 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

0

citations
Have We Really Understood Collaborative Information? An Empirical Investigation
2025 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

0

citations
Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters

0

citations
EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance
2026 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Cristina Rossetti, Anna V. Kononova, Thomas Bäck, Fei Liu, Niki van Stein

0

citations
Looking under the Wrong Lamppost: On the Limitations of Automated Translation Quality Estimation
2026 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Serge Gladkoff, Angelika Vaasa, Sue Ellen Wright, Ingemar Strandvik, Lifeng Han

0

citations
Adaptive and Scalable Compression of Multispectral Images using VVC
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Advanced Data Compression Techniques Open access

Philipp Seltsam, Priyanka Das, Mathias Wien

1

citations
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
2021 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Nassim Bouteldja, Barbara M. Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

2

citations