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Thomas Goerttler
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NAPC: A neural algorithm for automated passenger counting in public transport on a privacy-friendly dataset
R Seidel, N Jahn, S Seo, T Goerttler, K Obermayer
IEEE Open Journal of Intelligent Transportation Systems 3, 33-44, 2021
162021
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning
T Goerttler, K Obermayer
Learning to Learn workshop at ICLR 2021, 2021
62021
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
J Dippel, M Lenga, T Goerttler, K Obermayer, J Höhne
arXiv preprint arXiv:2207.14508, 2022
22022
Similarity of Pre-trained and Fine-tuned Representations
T Goerttler, K Obermayer
Workshop of Updatable Machine Learning at ICML 2022, 2022
22022
Learning a Multimodal Prior Distribution for Generative Adversarial Nets
T Goerttler, M Kloft
Proceedings of the Conference on LWDA, 94-105, 2019
22019
Distribution-specific augmentation for domain generalization
T Goerttler, L Schmidt, K Obermayer
International Congress on Information and Communication Technology, 201-214, 2024
12024
How much meta-learning is in image-to-image translation?
M Eißler, T Goerttler, K Obermayer
The Second Blogpost Track at ICLR 2023, 2023
12023
Berlin-APC: A privacy-friendly dataset for automated passenger counting in public transport
R Seidel, D Zarafeta, M Siebert, R Dastgheib Shirazi, S Seo, T Goerttler, ...
12021
Unveiling the Dynamics of Transfer Learning Representations
T Goerttler, K Obermayer
ICLR 2024 Workshop on Representational Alignment, 0
1
Enhancing Domain Generalization with Auto-encoders
T Goerttler, K Obermayer
Intelligent Systems Conference, 486-495, 2024
2024
Towards the Necessity of Pre-trained Heads in Model-Agnostic Meta-Learning
T Goerttler, P Pirlet, K Obermayer
Future of Information and Communication Conference, 495-508, 2024
2024
Improving the detection of sleep slow oscillations in electroencephalographic data
C Dimulescu, L Donle, C Cakan, T Goerttler, L Khakimova, J Ladenbauer, ...
Frontiers in neuroinformatics 18, 1338886, 2024
2024
Towards Efficient Gradient-Based Meta-Learning in Heterogenous Environments
T Goerttler, L Müller, K Obermayer
The First Blogpost Track at ICLR 2022, 2022
2022
Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures
S Durbha, T Goerttler, E Vellasques, JH Stockemer, K Obermayer
Proceedings of the Conference on LWDA, 67-78, 2022
2022
An Interactive Introduction to Model-Agnostic Meta-Learning
L Müller, M Ploner, T Goerttler, K Obermayer
Workshop on Visualization for AI Explainability at IEEE VIS, https …, 2021
2021
Strategies for Classification Layer Initialization in Model-Agnostic Meta-Learning
NT Siegel, T Goerttler, K Obermayer
The Second Blogpost Track at ICLR 2023, 0
How does the inductive bias influence the generalization capability of neural networks?
C Barth, T Goerttler, K Obermayer
The Second Blogpost Track at ICLR 2023, 0
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