1 code implementation • NeurIPS 2023 • João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann
In this work, by leveraging tools from causal inference we attempt to increase the resilience of anomaly detection models to different kinds of distribution shifts.
1 code implementation • 15 Jun 2023 • Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger
We propose a framework that utilizes interpretable disentangled representations for downstream-task prediction.
no code implementations • 22 Mar 2021 • João B. S. Carvalho, João A. Santinha, Đorđe Miladinović, Joachim M. Buhmann
In clinical practice, regions of interest in medical imaging often need to be identified through a process of precise image segmentation.