Lukas Schott
According to our database1,
Lukas Schott
authored at least 17 papers
between 2015 and 2024.
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Bibliography
2024
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data.
CoRR, 2024
2023
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Selected Inductive Biases in Neural Networks To Generalize Beyond the Training Domain.
PhD thesis, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2015