Sophie Fellenz

44 papers A* 3A 1Journal 29Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Continual Neural Topic Model. EACL (Volume 1: Long Papers) Charu Karakkaparambil James, Waleed Mustafa, Marcio Monteiro, Marius Kloft, Sophie Fellenz
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
2026	A*	`conf`	TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning. AAAI Weichen Li, Waleed Mustafa, Marcio Monteiro, Puyu Wang, Marius Kloft, Sophie Fellenz
2026	J	`jnl`	Using large language models for solving textbook-style thermodynamic problems. Comput. Chem. Eng. Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2025	—	`conf`	BBPOS: BERT-based Part-of-Speech Tagging for Uzbek. COLING Workshops Latofat Bobojonova, Arofat Akhundjanova, Phil Sidney Ostheimer, Sophie Fellenz
2025	J	`jnl`	BBPOS: BERT-based Part-of-Speech Tagging for Uzbek. CoRR Latofat Bobojonova, Arofat Akhundjanova, Phil Ostheimer, Sophie Fellenz
2025	J	`jnl`	Challenging Assumptions in Learning Generic Text Style Embeddings. CoRR Phil Ostheimer, Marius Kloft, Sophie Fellenz
2025	J	`jnl`	Continual Neural Topic Model. CoRR Charu Karakkaparambil James, Waleed Mustafa, Marius Kloft, Sophie Fellenz
2025	J	`jnl`	DiffStyleTS: Diffusion Model for Style Transfer in Time Series. CoRR Mayank Nagda, Phil Ostheimer, Justus Arweiler, Indra Jungjohann, Jennifer Werner, Dennis Wagner, Aparna Muraleedharan, Pouya Jafari, Jochen Schmid, Fabian Jirasek, Jakob Burger, Michael Bortz, Hans Hasse, Stephan Mandt, Marius Kloft, Sophie Fellenz
2025	—	`conf`	Enabling Transparent Problem Solving in Thermodynamics with Ontologies and Knowledge Graphs. ESWC-JP Luisa Vollmer, Rébecca Loubet, Fabian Jirasek, Sophie Fellenz, Hans Hasse, Heike Leitte
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
2025	J	`jnl`	Multi-level Supervised Contrastive Learning. CoRR Naghmeh Ghanooni, Barbod Pajoum, Harshit Rawal, Sophie Fellenz, Vo Nguyen Le Duy, Marius Kloft
2025	J	`jnl`	On the Challenges and Opportunities in Generative AI. Trans. Mach. Learn. Res. 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 T. 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
2025	J	`jnl`	PIANO: Physics Informed Autoregressive Network. CoRR Mayank Nagda, Jephte Abijuru, Phil Ostheimer, Marius Kloft, Sophie Fellenz
2025	J	`jnl`	Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems. CoRR Jan Tauberschmidt, Sophie Fellenz, Sebastian J. Vollmer, Andrew B. Duncan
2025	J	`jnl`	Sparse Data Generation Using Diffusion Models. CoRR Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz
2025	J	`jnl`	Superstudent intelligence in thermodynamics. CoRR Rébecca Loubet, Pascal Zittlau, Marco Hoffmann, Luisa Vollmer, Sophie Fellenz, Heike Leitte, Fabian Jirasek, Johannes Lenhard, Hans Hasse
2025	—	`conf`	Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors. NAACL (Findings) Mayank Nagda, Phil Ostheimer, Sophie Fellenz
2025	J	`jnl`	Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings. Trans. Mach. Learn. Res. Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft
2025	J	`jnl`	Using Large Language Models for Solving Thermodynamic Problems. CoRR Rébecca Loubet, Pascal Zittlau, Luisa Vollmer, Marco Hoffmann, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2024	—	`conf`	Characterizing Text Datasets with Psycholinguistic Features. EMNLP (Findings) Marcio Monteiro, Charu Karakkaparambil James, Marius Kloft, Sophie Fellenz
2024	J	`jnl`	Comgra: A Tool for Analyzing and Debugging Neural Networks. CoRR Florian Dietz, Sophie Fellenz, Dietrich Klakow, Marius Kloft
2024	A	`conf`	Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games. AISTATS Weichen Li, Rati Devidze, Waleed Mustafa, Sophie Fellenz
2024	—	`conf`	Evaluating Dynamic Topic Models. ACL (1) Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz
2024	J	`jnl`	HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction. CoRR Thomas Specht, Mayank Nagda, Sophie Fellenz, Stephan Mandt, Hans Hasse, Fabian Jirasek
2024	J	`jnl`	KnowTD-An Actionable Knowledge Representation System for Thermodynamics. CoRR Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2024	J	`jnl`	KnowTD─An Actionable Knowledge Representation System for Thermodynamics. J. Chem. Inf. Model. Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse
2024	J	`jnl`	On the Challenges and Opportunities in Generative AI. CoRR 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 T. 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
2024	A*	`conf`	Putting Back the Stops: Integrating Syntax with Neural Topic Models. IJCAI Mayank Nagda, Sophie Fellenz
2024	J	`jnl`	Reimagining Anomalies: What If Anomalies Were Normal? CoRR Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, Marius Kloft
2024	J	`jnl`	SetPINNs: Set-based Physics-informed Neural Networks. CoRR Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz
2024	J	`jnl`	Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors. CoRR Mayank Nagda, Phil Ostheimer, Sophie Fellenz
2024	—	`conf`	Text Style Transfer Evaluation Using Large Language Models. LREC/COLING Phil Sidney Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz
2024	J	`jnl`	Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings. CoRR Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft
2023	—	`conf`	A Call for Standardization and Validation of Text Style Transfer Evaluation. ACL (Findings) Phil Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz
2023	J	`jnl`	A Call for Standardization and Validation of Text Style Transfer Evaluation. CoRR Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz
2023	—	`conf`	Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models. ECML/PKDD (6) Asmita Bhat, Nooshin HajiGhassemi, Deepak Nagaraj, Sophie Fellenz
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
2023	J	`jnl`	Evaluating Dynamic Topic Models. CoRR Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz
2023	—	`conf`	Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning. ECML/PKDD (4) Weichen Li, Rati Devidze, Sophie Fellenz
2023	J	`jnl`	Ordinal Regression for Difficulty Estimation of StepMania Levels. CoRR Billy Joe Franks, Benjamin Dinkelmann, Sophie Fellenz, Marius Kloft
2023	—	`conf`	Ordinal Regression for Difficulty Prediction of StepMania Levels. ECML/PKDD (6) Billy Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz
2023	J	`jnl`	Potential-based reward shaping for learning to play text-based adventure games. CoRR Weichen Li, Rati Devidze, Sophie Fellenz
2023	J	`jnl`	Text Style Transfer Evaluation Using Large Language Models. CoRR Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz