Philipp Liznerski

13 papers A* 3A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks. CoRR Puyu Wang, Junyu Zhou, Philipp Liznerski, Marius Kloft
2026	A*	`conf`	Reimagining Anomalies: What If Anomalies Were Normal? AAAI Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Puyu Wang, Alexander Bartscher, Sebastian Josef Vollmer, Sophie Fellenz, Marius Kloft
2025	J	`jnl`	Formally Exploring Time-Series Anomaly Detection Evaluation Metrics. CoRR Dennis Wagner, Arjun Nair, Billy Joe Franks, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Fabian Hartung, Mayank C. Ahuja, Andriy Balinskyy, Saurabh Varshneya, Nabeel Hussain Syed, Mayank Nagda, Philipp Liznerski, Steffen Reithermann, Maja Rudolph, Sebastian J. Vollmer, Ralf Schulz, Torsten Katz, Stephan Mandt, Michael Bortz, Heike Leitte, Daniel Neider, Jakob Burger, Fabian Jirasek, Hans Hasse, Sophie Fellenz, Marius Kloft
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	A*	`conf`	Interpretable Tensor Fusion. IJCAI Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft
2024	J	`jnl`	Interpretable Tensor Fusion. CoRR Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft
2024	A	`conf`	Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks. AISTATS Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft
2024	J	`jnl`	Reimagining Anomalies: What If Anomalies Were Normal? CoRR Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, Marius Kloft
2023	J	`jnl`	Deep Anomaly Detection on Tennessee Eastman Process Data. CoRR 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
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	A*	`conf`	Explainable Deep One-Class Classification. ICLR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
2020	J	`jnl`	Explainable Deep One-Class Classification. CoRR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller