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Marius Kloft

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Interpretable Tensor Fusion

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May 07, 2024
Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft

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On the Challenges and Opportunities in Generative AI

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Feb 28, 2024
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

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Reimagining Anomalies: What If Anomalies Were Normal?

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Feb 22, 2024
Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, Marius Kloft

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Labeling Neural Representations with Inverse Recognition

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Nov 22, 2023
Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M. -C. Höhne

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Evaluating Dynamic Topic Models

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Sep 12, 2023
Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz

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Text Style Transfer Evaluation Using Large Language Models

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Aug 25, 2023
Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz

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A Call for Standardization and Validation of Text Style Transfer Evaluation

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Jun 01, 2023
Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz

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Deep Anomaly Detection on Tennessee Eastman Process Data

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Mar 10, 2023
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 Kloepper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft

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Deep Anomaly Detection under Labeling Budget Constraints

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Feb 15, 2023
Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph

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Zero-Shot Anomaly Detection without Foundation Models

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Feb 15, 2023
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt

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