1 code implementation • 15 Aug 2023 • Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
First, it comes with a rich structure to account for a wide range of geometries that can be modelled after an energy landscape.
1 code implementation • 12 Sep 2022 • Carlos Esteve-Yagüe, Willem Diepeveen, Ozan Öktem, Carola-Bibiane Schönlieb
The dataset contains noisy tomographic projections of the electrostatic potential of the macromolecule, taken from different viewing directions, and in the heterogeneous case, each image corresponds to a different conformation of the macromolecule.
1 code implementation • 26 Feb 2021 • Carlos Esteve-Yagüe, Borjan Geshkovski
We consider the neural ODE and optimal control perspective of supervised learning, with $\ell^1$-control penalties, where rather than only minimizing a final cost (the \emph{empirical risk}) for the state, we integrate this cost over the entire time horizon.
