Sarah Fabi

According to our database, Sarah Fabi authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set.

Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz

IEEE Trans. Cogn. Dev. Syst., 2023

Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT.

Thilo Hagendorff, Sarah Fabi, Michal Kosinski

Nat. Comput. Sci., 2023

Methodological reflections for AI alignment research using human feedback.

Thilo Hagendorff, Sarah Fabi

CoRR, 2023

2022

Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5.

Thilo Hagendorff, Sarah Fabi, Michal Kosinski

CoRR, 2022

Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems.

Sarah Fabi, Thilo Hagendorff

CoRR, 2022

Exploring the Racial Bias in Pain Detection with a Computer Vision Model.

Sarah Fabi, Xiaojing Xu, Virginia de Sa

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway.

Sarah Fabi, Lena Holzwarth, Martin V. Butz

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge.

Sarah Fabi, Sebastian Otte, Martin V. Butz

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

2020

Investigating Efficient Learning and Compositionality in Generative LSTM Networks.

Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Sequence Classification using Ensembles of Recurrent Generative Expert Modules.

Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020