2 papers
cs.LG2024
Measuring Orthogonality in Representations of Generative Models
Robin C. Geyer, Alessandro Torcinovich, João B. Carvalho +2
In unsupervised representation learning, models aim to distill essential features from high-dimensional data into lower-dimensional learned representations, guided by inductive bia…
cs.LG2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João B. S. Carvalho, Mengtao Zhang, Robin Geyer +2
Anomaly detection (AD) is the machine learning task of identifying highly discrepant abnormal samples by solely relying on the consistency of the normal training samples. Under the…