2 papers
cs.LG2026
Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization
Leonel Aguilar, Jan Nagler, Christoph Hoelscher +1
Successful deep neural networks discover salient features of data. We show when and why they fail to learn out-of-distribution (OOD)-relevant representations from an in-distributio…
cs.OH2024
IUMENTA: A generic framework for animal digital twins within the Open Digital Twin Platform
Ali Youssef, Kristina Vodorezova, Yannick Aarts +6
IUMENTA (Latin for livestock) is an innovative software framework designed to construct and simulate digital twins of animals. By leveraging the powerful capability of the Open Dig…