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Probing the shape of the Weyl Fermi surface of NbP using transverse electron focusing

Autor: Balduini, F., Rocchino, L., Molinari, A., Paul, T., Mariani, G., Hasse, V., Felser, C., Zota, C., Schmid, H., Gotsmann, B.

The topology of the Fermi surface significantly influences the transport properties of a material. Firstly measured through quantum oscillation experiments, the Fermi surfaces of crystals are now commonly characterized using angle-resolved photoemiss

Externí odkaz: http://arxiv.org/abs/2401.07601

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TAPAS: Train-less Accuracy Predictor for Architecture Search

Autor: Istrate, R., Scheidegger, F., Mariani, G., Nikolopoulos, D., Bekas, C., Malossi, A. C. I.

In recent years an increasing number of researchers and practitioners have been suggesting algorithms for large-scale neural network architecture search: genetic algorithms, reinforcement learning, learning curve extrapolation, and accuracy predictor

Externí odkaz: http://arxiv.org/abs/1806.00250

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Characterising radio telescope software with the Workload Characterisation Framework

Autor: Grange, Y. G., Lakhoo, R., Petschow, M., Wu, C., Veenboer, B., Emsley, I., Dijkema, T. J., Mechev, A. P., Mariani, G.

Publikováno v: 2019, ADASS XXVI, ASP Conf. Ser., Vol 521, Eds. M. Molinaro, K. Shortridge, & F. Pasian, 683

We present a modular framework, the Workload Characterisation Framework (WCF), that is developed to reproducibly obtain, store and compare key characteristics of radio astronomy processing software. As a demonstration, we discuss the experiences usin

Externí odkaz: http://arxiv.org/abs/1612.00456

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