Kyra Ahrens

According to our database, Kyra Ahrens authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Neuro-Symbolic Spatio-Temporal Reasoning.

Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models.

Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter

CoRR, 2023

The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation.

Dennis Becker, Diana Rueda, Felix Beese, Brenda Scarleth Gutierrez Torres, Myriem Lafdili, Kyra Ahrens, Di Fu, Erik Strahl, Tom Weber, Stefan Wermter

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Visually Grounded Continual Language Learning with Selective Specialization.

Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Neuro-Symbolic Spatio-Temporal Reasoning.

Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter

CoRR, 2022

Explain yourself! Effects of Explanations in Human-Robot Interaction.

Jakob Ambsdorf, Alina Munir, Yiyao Wei, Klaas Degkwitz, Harm Matthias Harms, Susanne Stannek, Kyra Ahrens, Dennis Becker, Erik Strahl, Tom Weber, Stefan Wermter

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning.

Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter

Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning.

Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

DRILL: Dynamic Representations for Imbalanced Lifelong Learning.

Kyra Ahrens, Fares Abawi, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021