Papers matching “deep learning training data” 113
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Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations -
Euclid preparation. LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
P. Bergamini, Massimo Meneghetti, D. Abriola, R. Gavazzi, Patrick Hudelot, L. Leuzzi, +71 more
0citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access
Dan Biderman, Matthew R Whiteway, Cole Hurwitz, Nicholas Greenspan, Ankit Vishnubhotla, Richard A. Warren, +13 more
18citations -
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Euclid Collaboration, L. Bazzanini, G. Angora, P. Bergamini, Massimo Meneghetti, P. Rosati, +90 more
1citations -
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
C. Gouin, L. Bazzanini, G. Angora, P. Bergamini, Massimo Meneghetti, Rosati P, +93 more
1citations -
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Monika Grewal, Dustin van Weersel, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten
1citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more
0citations