publications

2024

1. 

   Surprisingly Strong Performance Prediction with Neural Graph Features

   Gabriela Kadlecová, Jovita Lukasik, Martin Pilát, Petra Vidnerová, Mahmoud Safari, Roman Neruda, and Frank Hutter

   In Forty-first International Conference on Machine Learning, 2024

2022

1. Using Graph Neural Networks as Surrogate Models in Genetic Programming

   Martin Pilát, and Gabriela Suchopárová

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022

   Bib HTML

   @inproceedings{10.1145/3520304.3529024,
     author = {Pil\'{a}t, Martin and Suchop\'{a}rov\'{a}, Gabriela},
     title = {Using Graph Neural Networks as Surrogate Models in Genetic Programming},
     year = {2022},
     isbn = {9781450392686},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     doi = {10.1145/3520304.3529024},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     pages = {582–585},
     numpages = {4},
     keywords = {graph neural networks, genetic programming, surrogate models},
     location = {Boston, Massachusetts},
     series = {GECCO '22}
   }

2. 

   Graph Embedding for Neural Architecture Search with Input-Output Information

   Gabriela Suchopárová, and Roman Neruda

   2022

   Bib HTML

   @misc{infonas,
     title = {Graph Embedding for Neural Architecture Search with Input-Output Information},
     author = {Suchopárová, Gabriela and Neruda, Roman},
     year = {2022},
     url = {https://openreview.net/forum?id=HF-NX-6r8lq},
   }

2020

1. 

   Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming

   Gabriela Suchopárová, and Roman Neruda

   In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020

   Bib HTML

   @inproceedings{genens,
     author = {Suchopárová, Gabriela and Neruda, Roman},
     booktitle = {2020 IEEE Symposium Series on Computational Intelligence (SSCI)},
     title = {Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming},
     year = {2020},
     pages = {631-638},
     doi = {10.1109/SSCI47803.2020.9308582},
     url = {https://ieeexplore.ieee.org/document/9308582},
   }