uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (CoRR, 2020)

Unsupervised behaviour analysis and magnification (uBAM) using deep learning. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (Nat. Mach. Intell., 2021)

Unsupervised behaviour analysis and magnification (uBAM) using deep learning Dataset. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (Zenodo, 2021)

Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy. - Philipp Reiser; Paul-Christian Bürkner; Anneli Guthke (CoRR, 2024)

Unsupervised Behavior Analysis and Magnification using Deep Learning: Docker Image. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (Zenodo, 2025)

Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. - Stefania Scheurer; Philipp Reiser; Tim Brünnette; Wolfgang Nowak; Anneli Guthke; Paul-Christian Bürkner (CoRR, 2025)

Uncertainty quantification and propagation in surrogate-based Bayesian inference. - Philipp Reiser; Javier Enrique Aguilar; Anneli Guthke; Paul-Christian Bürkner (Stat. Comput., 2025)