| Issue Date | Title | Involved Person(s) |
| 31-May-2024 | So you want your private LLM at home? : a survey and benchmark of methods for efficient GPTs | Tuggener, Lukas; Sager, Pascal; Taoudi-Benchekroun, Yassine; Grewe, Benjamin F.; Stadelmann, Thilo |
| 2024 | Real world music object recognition | Tuggener, Lukas; Emberger, Raphael; Ghosh, Adhiraj; Sager, Pascal; Satyawan, Yvan Putra, et al |
| Jun-2023 | Video object detection for privacy-preserving patient monitoring in intensive care | Emberger, Raphael; Boss, Jens Michael; Baumann, Daniel; Seric, Marko; Huo, Shufan, et al |
| 2022 | Is it enough to optimize CNN architectures on ImageNet? | Tuggener, Lukas; Schmidhuber, Jürgen; Stadelmann, Thilo |
| Mar-2021 | Two to trust : AutoML for safe modelling and interpretable deep learning for robustness | Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter, et al |
| 2021 | The DeepScoresV2 dataset and benchmark for music object detection | Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 6-Nov-2020 | Design patterns for resource-constrained automated deep-learning methods | Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al |
| 14-Jun-2019 | Automated machine learning in practice : state of the art and recent results | Tuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia, et al |
| 2019 | Efficient deep CNNs for cross-modal automated computer vision under time and space constraints | Amirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo |
| 20-Sep-2018 | DeepScores and Deep Watershed Detection : current state and open issues | Elezi, Ismail; Tuggener, Lukas; Pelillo, Marcello; Stadelmann, Thilo |
| 2018 | Deep watershed detector for music object recognition | Tuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 2018 | DeepScores : a dataset for segmentation, detection and classification of tiny objects | Tuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Pelillo, Marcello; Stadelmann, Thilo |
| 2018 | Deep learning in the wild | Stadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François, et al |
