Structure-Sensitive Learning of Text Types. - Peter Geibel; Ulf Krumnack; Olga Pustylnikov; Alexander Mehler; Helmar Gust; Kai-Uwe Kühnberger (Australian Conference on Artificial Intelligence, 2007)

Restricted Higher-Order Anti-Unification for Analogy Making. - Ulf Krumnack; Angela Schwering; Helmar Gust; Kai-Uwe Kühnberger (Australian Conference on Artificial Intelligence, 2007)

Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture. - Kai-Uwe Kühnberger; Tonio Wandmacher; Angela Schwering; Ekaterina Ovchinnikova; Ulf Krumnack; Helmar Gust; Peter Geibel (FAInt, 2007)

I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities. - Kai-Uwe Kühnberger; Tonio Wandmacher; Angela Schwering; Ekaterina Ovchinnikova; Ulf Krumnack; Helmar Gust; Peter Geibel (MICAI, 2007)

The Re-Representation Problem in a Logic-Based Framework for Analogy Making. - Ulf Krumnack; Helmar Gust; Kai-Uwe Kühnberger; Angela Schwering (AAAI, 2008)

Learning from Inconsistencies in an Integrated Cognitive Architecture. - Kai-Uwe Kühnberger; Peter Geibel; Helmar Gust; Ulf Krumnack; Ekaterina Ovchinnikova; Angela Schwering; Tonio Wandmacher (AGI, 2008)

Analogy as Integrating Framework for Human-Level Reasoning. - Angela Schwering; Ulf Krumnack; Kai-Uwe Kühnberger; Helmar Gust (AGI, 2008)

Re-representation in a Logic-Based Model for Analogy Making. - Ulf Krumnack; Helmar Gust; Kai-Uwe Kühnberger; Angela Schwering (Australasian Conference on Artificial Intelligence, 2008)

Analogical Reasoning: A Core of Cognition. - Helmar Gust; Ulf Krumnack; Kai-Uwe Kühnberger; Angela Schwering (Künstliche Intell., 2008)

Human-Level Intelligence. - Helmar Gust; Ulf Krumnack; Kai-Uwe Kühnberger; Angela Schwering (Künstliche Intell., 2008)

Spatial Cognition of Geometric Figures in the Context of Proportional Analogies. - Angela Schwering; Kai-Uwe Kühnberger; Ulf Krumnack; Helmar Gust (COSIT, 2009)

A Computational Model for Visual Metaphors. Interpreting Creative Visual Advertisements. - Angela Schwering; Kai-Uwe Kühnberger; Ulf Krumnack; Helmar Gust; Tonio Wandmacher; Bipin Indurkhya; Amitash Ojha (ICAART, 2009)

Syntactic principles of heuristic-driven theory projection. - Angela Schwering; Ulf Krumnack; Kai-Uwe Kühnberger; Helmar Gust (Cogn. Syst. Res., 2009)

Towards a Domain-Independent Computational Framework for Theory Blending. - Maricarmen Martínez; Tarek R. Besold; Ahmed Mohammed Hassan Abdel-Fattah; Kai-Uwe Kühnberger; Helmar Gust; Martin Schmidt 002; Ulf Krumnack (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Rationality and General Intelligence. - Helmar Gust; Ulf Krumnack; Maricarmen Martínez; Ahmed M. H. Abdel-Fattah; Martin Schmidt 002; Kai-Uwe Kühnberger (AGI, 2011)

Refinements of Restricted Higher-Order Anti-Unification for Heuristic-Driven Theory Projection. - Martin Schmidt 002; Helmar Gust; Kai-Uwe Kühnberger; Ulf Krumnack (KI, 2011)

A computational account of conceptual blending in basic mathematics. - Markus Guhe; Alison Pease; Alan Smaill; Maricarmen Martínez; Martin Schmidt 002; Helmar Gust; Kai-Uwe Kühnberger; Ulf Krumnack (Cogn. Syst. Res., 2011)

Rationality-Guided AGI as Cognitive Systems. - Ahmed M. H. Abdel-Fattah; Tarek Richard Besold; Helmar Gust; Ulf Krumnack; Martin Schmidt 002; Kai-Uwe Kühnberger; Pei Wang (CogSci, 2012)

Creating Analogy-Based Interpretations of Blended Noun Concepts. - Ahmed Mohammed Hassan Abdel-Fattah; Ulf Krumnack (AAAI Spring Symposium: Creativity and (Early) Cognitive Development, 2013)

Utilizing Cognitive Mechanisms in the Analysis of Counterfactual Conditionals by AGI Systems. - Ahmed M. H. Abdel-Fattah; Ulf Krumnack; Kai-Uwe Kühnberger (AGI, 2013)

Sketch Learning by Analogy. - Ulf Krumnack; Angela Schwering; Kai-Uwe Kühnberger; Helmar Gust; Ahmed M. H. Abdel-Fattah; Tarek R. Besold; Martin Schmidt 002; Stefan Schneider 002 (SHAPES, 2013)

Dynamic Assembly of Figures in Visuospatial Reasoning. - Stefan Schneider 002; Ulf Krumnack; Kai-Uwe Kühnberger (SHAPES, 2013)

Algorithmic Aspects of Theory Blending. - Maricarmen Martínez; Ulf Krumnack; Alan Smaill; Tarek Richard Besold; Ahmed M. H. Abdel-Fattah; Martin Schmidt 002; Helmar Gust; Kai-Uwe Kühnberger; Markus Guhe; Alison Pease (AISC, 2014)

What Is a Derived Signature Morphism? - Till Mossakowski; Ulf Krumnack; Tom Maibaum (WADT, 2014)

Heuristic-Driven Theory Projection: An Overview. - Martin Schmidt 002; Ulf Krumnack; Helmar Gust; Kai-Uwe Kühnberger (Computational Approaches to Analogical Reasoning, 2014)

Eye tracking data in multimedia containers for instantaneous visualizations. - Julius Schöning; Patrick Faion; Gunther Heidemann; Ulf Krumnack (ETVIS, 2016)

On the Logical Formalization of Analogies and Theory Blending in the HDTP Framework - Ulf Krumnack (2016)

Structure from Motion by Artificial Neural Networks. - Julius Schöning; Thea Behrens; Patrick Faion; Peyman Kheiri; Gunther Heidemann; Ulf Krumnack (SCIA (1), 2017)

Providing Video Annotations in Multimedia Containers for Visualization and Research. - Julius Schöning; Patrick Faion; Gunther Heidemann; Ulf Krumnack (WACV, 2017)

Theory blending: extended algorithmic aspects and examples. - Maricarmen Martínez; Ahmed M. H. Abdel-Fattah; Ulf Krumnack; Danny Gómez-Ramírez; Alan Smaill; Tarek Richard Besold; Alison Pease; Martin Schmidt 002; Markus Guhe; Kai-Uwe Kühnberger (Ann. Math. Artif. Intell., 2017)

Structure from Neuronal Networks (SfN²). - Julius Schöning; Gunther Heidemann; Ulf Krumnack (J. Comput., 2018)

Semantics of Analogies from a Logical Perspective. - Ahmed M. H. Abdel-Fattah; Ulf Krumnack (Künstliche Intell., 2019)

Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells. - Elena Doering; Anna Pukropski; Ulf Krumnack; Axel Schaffland (MICAD, 2020)

(Input) Size Matters for CNN Classifiers. - Mats L. Richter; Wolf Byttner; Ulf Krumnack; Anna Wiedenroth; Ludwig Schallner; Justin Shenk (ICANN (2), 2021)

Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. - Mats L. Richter; Julius Schöning; Anna Wiedenroth; Ulf Krumnack (ICMLA, 2021)

Size Matters. - Mats L. Richter; Wolf Byttner; Ulf Krumnack; Ludwig Schallner; Justin Shenk (CoRR, 2021)

Exploring the Properties and Evolution of Neural Network Eigenspaces during Training. - Mats L. Richter; Leila Malihi; Anne-Kathrin Patricia Windler; Ulf Krumnack (CoRR, 2021)

Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis. - Mats L. Richter; Julius Schöning; Ulf Krumnack (CoRR, 2021)

Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (ACML, 2023)

Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (INNS DLIA@IJCNN, 2023)

Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (xAI (3), 2023)

Learning Disentangled Speech Representations. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (CoRR, 2023)

FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation. - Mohamad Ballout; Anne Dedert; Nohayr Abdelmoneim; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (EMNLP, 2024)

Learning Disentangled Audio Representations through Controlled Synthesis. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (Tiny Papers @ ICLR, 2024)

Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (NLDB (1), 2024)

Enhancing Small Language Models via ChatGPT and Dataset Augmentation. - Tom Pieper; Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (NLDB (2), 2024)

Weight Rescaling: Applying Initialization Strategies During Training. - Lukas Niehaus; Ulf Krumnack; Gunther Heidemann (SCAI, 2024)

Enhancing SLM via ChatGPT and Dataset Augmentation. - Tom Pieper; Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (CoRR, 2024)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (Inf., 2024)