Lukas Ruff

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Anomaly Detection

Anomalous Behavior

Network Anomaly Detection

Detecting Anomalous

Top Venues

Publications

Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Maximilian Alber
RudolfV: A Foundation Model by Pathologists for Pathologists. CoRR (2024)
Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. CoRR (2024)
Miriam Hägele, Johannes Eschrich, Lukas Ruff, Maximilian Alber, Simon Schallenberg, Adrien Guillot, Christoph Roderburg, Frank Tacke, Frederick Klauschen
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides. CoRR (2023)
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
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS (2023)
Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR (2023)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. CoRR (2022)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. Trans. Mach. Learn. Res. 2022 (2022)
Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen
Transfer-Based Semantic Anomaly Detection. ICML (2021)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
Explainable Deep One-Class Classification. ICLR (2021)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109 (5) (2021)
Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen
Deep Anomaly Detection by Residual Adaptation. CoRR (2020)
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN (2020)
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR (2020)
Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller
The Clever Hans Effect in Anomaly Detection. CoRR (2020)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. CoRR (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. ICLR (2020)
Michael Joswig, Marek Kaluba, Lukas Ruff
Geometric Disentanglement by Random Convex Polytopes. CoRR (2020)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
Explainable Deep One-Class Classification. CoRR (2020)
Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Rethinking Assumptions in Deep Anomaly Detection. CoRR (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. CoRR (2019)
Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. ACL (1) (2019)
Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
Deep One-Class Classification. ICML (2018)
Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft
Image Anomaly Detection with Generative Adversarial Networks. ECML/PKDD (1) (2018)