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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 -
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies2024 Environmental Science & Technology article Computer Science Multimodal Machine Learning Applications
Wenjia Liu, Jingwen Chen, Haobo Wang, Zhiqiang Fu, Willie J.G.M. Peijnenburg, Huixiao Hong
30citations -
Deep Anatomical Federated Network (Dafne): An Open Client-Server Framework for Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation2025 Radiology Artificial Intelligence article Computer Science Medical Image Segmentation Techniques
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
7citations -
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow2024 IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) conference-paper Computer Science Parallel Computing and Optimization Techniques
Dmytro Povaliaiev, Radita Liem, Julian Martin Kunkel, Jay Lofstead, Philip Carns
4citations