Philipp Liznerski

According to our database, Philipp Liznerski authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics.

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

CoRR, 2024

Reimagining Anomalies: What If Anomalies Were Normal?

Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, Marius Kloft

CoRR, 2024

Interpretable Tensor Fusion.

Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks.

Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Deep Anomaly Detection on Tennessee Eastman Process Data.

Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Klöpper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft

CoRR, 2023

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 Müller, Marius Kloft

Trans. Mach. Learn. Res., 2022

2021

Explainable Deep One-Class Classification.

Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller

Proceedings of the 9th International Conference on Learning Representations, 2021