Ruff, Lukas

7 publications

NeurIPS 2023 DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala

TMLR 2022 Exposing Outlier Exposure: What Can Be Learned from Few, One, and Zero Outlier Images Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus Robert Muller, Marius Kloft

ICLR 2021 Explainable Deep One-Class Classification Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus Robert Muller

ICML 2021 Transfer-Based Semantic Anomaly Detection Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen

ICLR 2020 Deep Semi-Supervised Anomaly Detection Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft

ICML 2018 Deep One-Class Classification Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft

ECML-PKDD 2018 Image Anomaly Detection with Generative Adversarial Networks Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft