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Pierre-Paul De Breuck

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2025
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Rogério Almeida Gouvêa, Pierre-Paul De Breuck, Tatiane Pretto, Gian-Marco Rignanese, Marcos José Leite Santos:
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability. CoRR abs/2509.03547 (2025)
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Théo Cavignac, Jonathan Schmidt, Pierre-Paul De Breuck, Antoine Loew, Tiago F. T. Cerqueira, Haichen Wang, Anton Bochkarev, Yury Lysogorskiy, Aldo H. Romero, Ralf Drautz, Silvana Botti, Miguel A. L. Marques:
AI-Driven Expansion and Application of the Alexandria Database. CoRR abs/2512.09169 (2025)
2024
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Pierre-Paul De Breuck:
Small datasets, big predictions: learning methods for uncertainty-aware modelling of multi-fidelity material properties. Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2024

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