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4 papers · 1 filter
Moduli of curve families and (quasi-)conformality of power-law entropies
Nikos Kalogeropoulos
We present aspects of the moduli of curve families on a metric measure space which may prove useful in calculating, or in providing bounds to, non-additive entropies having a power…
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study
Suyog Gupta, Wei Zhang, Fei Wang
This paper presents Rudra, a parameter server based distributed computing framework tuned for training large-scale deep neural networks. Using variants of the asynchronous stochast…
Signal prediction by anticipatory relaxation dynamics
Henning U. Voss
Real-time prediction of signals is a task often encountered in control problems as well as by living systems. Here a model-free prediction approach based on the coupling of a linea…
Towards Automated Benchmarking of Atomistic Forcefields: Neat Liquid Densities and Static Dielectric Constants from the ThermoML Data Archive
Kyle A. Beauchamp, Julie M. Behr, Ariën S. Rustenburg +3
Atomistic molecular simulations are a powerful way to make quantitative predictions, but the accuracy of these predictions depends entirely on the quality of the forcefield employe…