31 citations · 72 across the 6 of their papers we have counts for
6 papers
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
Oskar Taubert, Marie Weiel, Daniel Coquelin +5
We present Propulate, an evolutionary optimization algorithm and software package for global optimization and in particular hyperparameter search. For efficient use of HPC resource…
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
René Caspart, Sebastian Ziegler, Arvid Weyrauch +10
With the rise of AI in recent years and the increase in complexity of the models, the growing demand in computational resources is starting to pose a significant challenge. The nee…
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
Daniel Coquelin, Charlotte Debus, Markus Götz +4
With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are…
HeAT -- a Distributed and GPU-accelerated Tensor Framework for Data Analytics
Markus Götz, Daniel Coquelin, Charlotte Debus +9
To cope with the rapid growth in available data, the efficiency of data analysis and machine learning libraries has recently received increased attention. Although great advancemen…
Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models
Alina L. Bendinger, Charlotte Debus, Christin Glowa +3
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is used to quantify perfusion and vascular permeability. In most cases a bolus arrival time (BAT) delay exists betwee…
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging -- design, implementation and application on the example of DCE-MRI
Charlotte Debus, Ralf Floca, Michael Ingrisch +4
Many medical imaging techniques utilize fitting approaches for quantitative parameter estimation and analysis. Common examples are pharmacokinetic modeling in DCE MRI/CT, ADC calcu…