Fellenz, Sophie

10 publications

NeurIPS 2025 Mitigating Spurious Features in Contrastive Learning with Spectral Regularization Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner, Sophie Fellenz, Anthony Widjaja Lin, Marius Kloft

NeurIPS 2025 NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection Dennis Wagner, Fabian Hartung, Justus Arweiler, Aparna Muraleedharan, Indra Jungjohann, Arjun Nair, Steffen Reithermann, Ralf Schulz, Michael Bortz, Daniel Neider, Heike Leitte, Joachim Pfeffinger, Stephan Mandt, Sophie Fellenz, Torsten Katz, Fabian Jirasek, Jakob Burger, Hans Hasse, Marius Kloft

TMLR 2025 On the Challenges and Opportunities in Generative AI Laura Manduchi, Clara Meister, 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

TMLR 2025 Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft

ICMLW 2024 Comgra: A Tool for Analyzing and Debugging Neural Networks Florian Dietz, Sophie Fellenz, Dietrich Klakow, Marius Kloft

AISTATS 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-Making in Text-Based Adventure Games Weichen Li, Rati Devidze, Waleed Mustafa, Sophie Fellenz

IJCAI 2024 Putting Back the Stops: Integrating Syntax with Neural Topic Models Mayank Nagda, Sophie Fellenz

ECML-PKDD 2023 Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models Asmita Bhat, Nooshin HajiGhassemi, Deepak Nagaraj, Sophie Fellenz

ECML-PKDD 2023 Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning Weichen Li, Rati Devidze, Sophie Fellenz

ECML-PKDD 2023 Ordinal Regression for Difficulty Prediction of StepMania Levels Billy Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz