1 code implementation • 23 May 2024 • Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
We introduce LoRA-Ensemble, a parameter-efficient deep ensemble method for self-attention networks, which is based on Low-Rank Adaptation (LoRA).
1 code implementation • 29 Nov 2023 • Alexander Becker, Rodrigo Caye Daudt, Nando Metzger, Jan Dirk Wegner, Konrad Schindler
We present a novel way to design neural fields such that points can be queried with an adaptive Gaussian PSF, so as to guarantee correct anti-aliasing at any desired output resolution.
no code implementations • 4 Oct 2022 • Alexander Becker, Thomas Liebig
Data protection regulations like the GDPR or the California Consumer Privacy Act give users more control over the data that is collected about them.
1 code implementation • 23 Aug 2022 • Alexander Becker, Thomas Liebig
There has been a growing interest in Machine Unlearning recently, primarily due to legal requirements such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act.
1 code implementation • 31 May 2022 • Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
We show that the idea can be extended to uncertainty quantification: by modulating the network activations of a single deep network with FiLM, one obtains a model ensemble with high diversity, and consequently well-calibrated estimates of epistemic uncertainty, with low computational overhead in comparison.
1 code implementation • CVPR 2022 • Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler
With the decision to employ the source as a constraint rather than only as an input to the prediction, our method differs from state-of-the-art deep architectures for guided super-resolution, which produce targets that, when downsampled, will only approximately reproduce the source.
no code implementations • 25 Nov 2021 • Alexander Becker, Stefania Russo, Stefano Puliti, Nico Lang, Konrad Schindler, Jan Dirk Wegner
To demonstrate scalability, we provide Norway-wide maps for the five forest structure variables.
no code implementations • 25 Jun 2020 • Vladimir Golkov, Alexander Becker, Daniel T. Plop, Daniel Čuturilo, Neda Davoudi, Jeffrey Mendenhall, Rocco Moretti, Jens Meiler, Daniel Cremers
Computer-aided drug discovery is an essential component of modern drug development.