Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery. - Jarrod Haas; Bernhard Rabus (Remote. Sens., 2021)

Inducing Early Neural Collapse in Deep Neural Networks for Improved Out-of-Distribution Detection. - Jarrod Haas; William Yolland; Bernhard Rabus (CoRR, 2022)

Simple High Quality OoD Detection with L2 Normalization. - Jarrod Haas; William Yolland; Bernhard Rabus (CoRR, 2023)

SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance. - Jarrod Haas (CoRR, 2023)

Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks. - Jarrod Haas; William Yolland; Bernhard Rabus (Trans. Mach. Learn. Res., 2023)

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization. - Jarrod Haas; William Yolland; Bernhard Rabus (Trans. Mach. Learn. Res., 2024)