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Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
0citations -
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe
0citations -
Reinforcement Learning in Infinite State Spaces: Convergence Guarantees via Stable Exploration2026 HAL (Le Centre pour la Communication Scientifique Directe) preprint Computer Science Reinforcement Learning in Robotics
Vittorio Puricelli, Urtzi Ayesta, Matthieu Jonckheere, Michel Mandjes
0citations -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, +26 more
6citations -
Curriculum reinforcement learning for quantum architecture search under hardware errors2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
7citations