Lukas Ruff - RankMe

32 papers A* 5B 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Atlas 2 - Foundation models for clinical deployment. CoRR Maximilian Alber, Timo Milbich, Alexandra Carpen-Amarie, Stephan Tietz, Jonas Dippel, Lukas Muttenthaler, Beatriz Perez Cancer, Alessandro Benetti, Panos Korfiatis, Elias Eulig, Jérôme Lüscher, Jiasen Wu, Sayed Abid Hashimi, Gabriel Dernbach, Simon Schallenberg, Neelay Shah, Moritz Krügener, Aniruddh Jammoria, Jake Matras, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan
2026	J	`jnl`	Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models. CoRR Alexander Möllers, Julius Hense, Florian Schulz, Timo Milbich, Maximilian Alber, Lukas Ruff
2025	J	`jnl`	Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics. CoRR Maximilian Alber, Stephan Tietz, Jonas Dippel, Timo Milbich, Timothée Lesort, Panos Korfiatis, Moritz Krügener, Beatriz Perez Cancer, Neelay Shah, Alexander Möllers, Philipp Seegerer, Alexandra Carpen-Amarie, Kai Standvoss, Gabriel Dernbach, Edwin D. de Jong, Simon Schallenberg, Andreas Kunft, Helmut Hoffer von Ankershoffen, Gavin Schaeferle, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan
2025	J	`jnl`	Explainable AI reveals Clever Hans effects in unsupervised learning models. Nat. Mac. Intell. Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Towards Robust Foundation Models for Digital Pathology. CoRR Jonah Kömen, Edwin D. de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen, Frederick Klauschen, Klaus-Robert Müller
2024	J	`jnl`	AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. CoRR 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
2024	J	`jnl`	From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2024	J	`jnl`	RudolfV: A Foundation Model by Pathologists for Pathologists. CoRR 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
2024	J	`jnl`	The Clever Hans Effect in Unsupervised Learning. CoRR Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer. CoRR Marvin Sextro, Gabriel Dernbach, Kai Standvoss, Simon Schallenberg, Frederick Klauschen, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff
2023	A*	`conf`	DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS 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
2023	J	`jnl`	DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR 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
2023	J	`jnl`	Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides. CoRR Miriam Hägele, Johannes Eschrich, Lukas Ruff, Maximilian Alber, Simon Schallenberg, Adrien Guillot, Christoph Roderburg, Frank Tacke, Frederick Klauschen
2022	J	`jnl`	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. CoRR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
2022	J	`jnl`	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. Trans. Mach. Learn. Res. Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
2021	J	`jnl`	A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2021	—	`—`	Deep one-class learning: a deep learning approach to anomaly detection. Lukas Ruff
2021	A*	`conf`	Explainable Deep One-Class Classification. ICLR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
2021	A*	`conf`	Transfer-Based Semantic Anomaly Detection. ICML Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen
2020	J	`jnl`	A Unifying Review of Deep and Shallow Anomaly Detection. CoRR Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2020	J	`jnl`	Deep Anomaly Detection by Residual Adaptation. CoRR Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen
2020	A*	`conf`	Deep Semi-Supervised Anomaly Detection. ICLR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2020	J	`jnl`	Explainable Deep One-Class Classification. CoRR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
2020	J	`jnl`	Geometric Disentanglement by Random Convex Polytopes. CoRR Michael Joswig, Marek Kaluba, Lukas Ruff
2020	J	`jnl`	Rethinking Assumptions in Deep Anomaly Detection. CoRR Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
2020	B	`conf`	Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
2020	J	`jnl`	Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
2020	J	`jnl`	The Clever Hans Effect in Anomaly Detection. CoRR Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller
2019	J	`jnl`	Deep Semi-Supervised Anomaly Detection. CoRR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2019	—	`conf`	Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text. ACL (1) Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen, Thomas Schnake, Marius Kloft
2018	A*	`conf`	Deep One-Class Classification. ICML Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
2018	—	`conf`	Image Anomaly Detection with Generative Adversarial Networks. ECML/PKDD (1) Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft