Lucie Fontaine from INRIA Bordeaux is visiting the Machine Learning group. Her research focuses on predictive coding models ...

Benjamin Sanderse has received a major European grant to tackle a problem that defeats even supercomputers: reliably ...

Our research group is developing the next generation of 3D imaging – enabling scientists to look further into objects of all kinds. Based on mathematics, algorithms and numerical solution techniques, ...

The PhD thesis was co-supervised by Débora Christina Muchaluat Saade (Universidade Federal Fluminense, Brazil) and Pablo Cesar (DIS Group). In his thesis “Internet of Multisensory, Multimedia, and ...

Traditional methods are computationally fast but deliver only qualitative images. Modern methods can yield quantitative images but are computationally intensive and are not very reliable. UNIQUE aims ...

Op 23 oktober verdedigde de CWI-promovenda met succes haar proefschrift aan de Universiteit van Amsterdam, getiteld 'The Gap and the Gain: Improving the Approximate Mechanism Design Frontier in ...

In humans, attention focuses neural resources on a limited part of the sensory experience. Psychophysics also tells us that we only learn about that to which we attend. In deep learning, attention ...

This project builds on an ongoing collaboration between groups working on computational imaging and experimental photonics, where fiber-based imaging systems are explored using compressed sensing and ...

Traditionele methoden zijn rekenkundig snel, maar leveren alleen kwalitatieve beelden op. Moderne methoden kunnen kwantitatieve beelden opleveren, maar zijn rekenintensief en niet erg betrouwbaar.

Naast dit theoretische kader ontwikkelde Rômulo een aantal representatieve voorbeelden (slimme instrumenten) en valideerde deze empirisch op basis van experimenten met zowel professionele en ...