21 citations · 84 across the 9 of their papers we have counts for
11 papers
Learning Tree Structures from Leaves For Particle Decay Reconstruction
James Kahn, Ilias Tsaklidis, Oskar Taubert +8
In this work, we present a neural approach to reconstructing rooted tree graphs describing hierarchical interactions, using a novel representation we term the Lowest Common Ancesto…
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…
German-Russian Astroparticle Data Life Cycle Initiative
Andreas Haungs, Igor Bychkov, Julia Dubenskaya +19
A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astro…
Russian-German Astroparticle Data Life Cycle Initiative
Igor Bychkov, Andrey Demichev, Julia Dubenskaya +19
Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future exper…
A Distributed System for Storing and Processing Data from Earth-observing Satellites: System Design and Performance Evaluation of the Visualisation Tool
Marek Szuba, Parinaz Ameri, Udo Grabowski +2
We present a distributed system for storage, processing, three-dimensional visualisation and basic analysis of data from Earth-observing satellites. The database and the server hav…