6 citations · 6 across the 4 of their papers we have counts for
4 papers
Challenges in Automatic Software Optimization: the Energy Efficiency Case
Tobias Fischbach, Emmanuel Kieffer, Pascal Bouvry
With the advent of the Exascale capability allowing supercomputers to perform at least IEEE 754 Double Precision (64 bits) operations per second, many concerns have been…
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography
Loizos Koutsantonis, Tiago Carneiro, Emmanuel Kieffer +2
In this work, we present the Deep Newton Reconstruction Network (DNR-Net), a hybrid data-driven reconstruction technique for emission tomography inspired by Newton's method, a well…
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging
Loizos Koutsantonis, Ayman Makki, Tiago Carneiro +2
Photon attenuation and scatter are the two main physical factors affecting the diagnostic quality of SPECT in its applications in brain imaging. In this work, we present a novel Ba…
Visualizing the Template of a Chaotic Attractor
Maya Olszewski, Jeff Meder, Emmanuel Kieffer +4
Chaotic attractors are solutions of deterministic processes, of which the topology can be described by templates. We consider templates of chaotic attractors bounded by a genus-1 t…