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ORCIDSophie Fellenz
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- affiliation: TU Kaiserslautern, Germany
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2020 – today
- 2024
[j6]Luisa Vollmer
, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
KnowTD─An Actionable Knowledge Representation System for Thermodynamics. J. Chem. Inf. Model. 64(15): 5878-5887 (2024)- [c14]Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz:
Evaluating Dynamic Topic Models. ACL (1) 2024: 160-176 - [c13]Weichen Li, Rati Devidze, Waleed Mustafa, Sophie Fellenz:
Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games. AISTATS 2024: 1954-1962 - [c12]Phil Sidney Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz:
Text Style Transfer Evaluation Using Large Language Models. LREC/COLING 2024: 15802-15822 - [c11]Marcio Monteiro, Charu Karakkaparambil James, Marius Kloft, Sophie Fellenz:
Characterizing Text Datasets with Psycholinguistic Features. EMNLP (Findings) 2024: 14977-14990 - [c10]Mayank Nagda, Sophie Fellenz:
Putting Back the Stops: Integrating Syntax with Neural Topic Models. IJCAI 2024: 6424-6432 - [i15]Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Sophie Fellenz, Marius Kloft:
Reimagining Anomalies: What If Anomalies Were Normal? CoRR abs/2402.14469 (2024) - [i14]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:
On the Challenges and Opportunities in Generative AI. CoRR abs/2403.00025 (2024) - [i13]Luisa Vollmer, Sophie Fellenz, Fabian Jirasek, Heike Leitte, Hans Hasse:
KnowTD-An Actionable Knowledge Representation System for Thermodynamics. CoRR abs/2407.17169 (2024) - [i12]Thomas Specht, Mayank Nagda, Sophie Fellenz, Stephan Mandt, Hans Hasse, Fabian Jirasek:
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction. CoRR abs/2407.18011 (2024) - [i11]Florian Dietz, Sophie Fellenz, Dietrich Klakow, Marius Kloft:
Comgra: A Tool for Analyzing and Debugging Neural Networks. CoRR abs/2407.21656 (2024) - [i10]Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz:
SetPINNs: Set-based Physics-informed Neural Networks. CoRR abs/2409.20206 (2024) - [i9]Mayank Nagda, Phil Ostheimer, Sophie Fellenz:
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors. CoRR abs/2410.18140 (2024) - 2023
- [c9]Phil Ostheimer, Mayank Kumar Nagda, Marius Kloft, Sophie Fellenz:
A Call for Standardization and Validation of Text Style Transfer Evaluation. ACL (Findings) 2023: 10791-10815 - [c8]Weichen Li, Rati Devidze, Sophie Fellenz:
Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning. ECML/PKDD (4) 2023: 39-54 - [c7]Asmita Bhat, Nooshin HajiGhassemi, Deepak Nagaraj, Sophie Fellenz:
Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models. ECML/PKDD (6) 2023: 360-376 - [c6]Billy Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz:
Ordinal Regression for Difficulty Prediction of StepMania Levels. ECML/PKDD (6) 2023: 497-512 - [i8]Billy Joe Franks, Benjamin Dinkelmann, Sophie Fellenz, Marius Kloft:
Ordinal Regression for Difficulty Estimation of StepMania Levels. CoRR abs/2301.09485 (2023) - [i7]Weichen Li, Rati Devidze, Sophie Fellenz:
Potential-based reward shaping for learning to play text-based adventure games. CoRR abs/2302.10720 (2023) - [i6]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:
Deep Anomaly Detection on Tennessee Eastman Process Data. CoRR abs/2303.05904 (2023) - [i5]Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz:
A Call for Standardization and Validation of Text Style Transfer Evaluation. CoRR abs/2306.00539 (2023) - [i4]Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz:
Text Style Transfer Evaluation Using Large Language Models. CoRR abs/2308.13577 (2023) - [i3]Charu James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz:
Evaluating Dynamic Topic Models. CoRR abs/2309.08627 (2023) - 2021
- [j5]Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. Frontiers Artif. Intell. 4: 642263 (2021) - [c5]Weichen Li, Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Topic-Guided Knowledge Graph Construction for Argument Mining. ICBK 2021: 315-322 - [i2]Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. CoRR abs/2102.02086 (2021) - 2020
- [c4]Sophie Burkhardt, Julia Siekiera, Josua Glodde, Miguel A. Andrade-Navarro, Stefan Kramer:
Towards Identifying Drug Side Effects from Social Media Using Active Learning andCrowd Sourcing. PSB 2020: 319-330 - [i1]Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation. CoRR abs/2012.08459 (2020)
2010 – 2019
- 2019
- [j4]Sophie Burkhardt, Stefan Kramer:
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model. J. Mach. Learn. Res. 20: 131:1-131:27 (2019) - [j3]Sophie Burkhardt, Stefan Kramer:
Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity. Knowl. Inf. Syst. 59(1): 93-115 (2019) - [j2]Sophie Burkhardt, Stefan Kramer:
A Survey of Multi-Label Topic Models. SIGKDD Explor. 21(2): 61-79 (2019) - 2018
- [b1]Sophie Burkhardt:
Online Multi-label Text Classification using Topic Models. Johannes Gutenberg University Mainz, Germany, 2018 - [j1]Sophie Burkhardt, Stefan Kramer:
Online multi-label dependency topic models for text classification. Mach. Learn. 107(5): 859-886 (2018) - 2017
- [c3]Sophie Burkhardt, Stefan Kramer:
Multi-label Classification Using Stacked Hierarchical Dirichlet Processes with Reduced Sampling Complexity. ICBK 2017: 1-8 - [c2]Sophie Burkhardt, Stefan Kramer:
Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models. ECML/PKDD (2) 2017: 189-204 - 2015
- [c1]Sophie Burkhardt, Stefan Kramer:
On the spectrum between binary relevance and classifier chains in multi-label classification. SAC 2015: 885-892
Coauthor Index
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last updated on 2024-11-28 21:24 CET by the dblp team
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