Contributions to a conference proceedings

In this paper, a Compressive Sensing-based approach is proposed to recover missing data in time series signals. The presented technique is based on the combined application of two mathematical techniques: the Discrete Cosine Transform (DCT) and a $\ell_1$-minimization algorithm. [...]

The optimization of planning is one of the challenging tasks for the optimal control of energy systems with seasonal storage. An optimization quickly becomes computationally intractable due to a high temporal resolution and a long time horizonneeded for seasonal energy storage. [...]

The goal of this work was to integrate in situ possibilities into the general-purpose code-coupling library PDI [1]. This is done using the simulation code Alya as an example [...]

Multi-modal language-vision models trained on hundreds of millions of image-textpairs (e.g. CLIP, DALL-E) gained a recent surge, showing remarkable capability toperform zero- or few-shot learning and transfer even in absence of per-sample labelson target image data [...]