no code implementations • 13 Dec 2023 • Esteban Real, Yao Chen, Mirko Rossini, Connal de Souza, Manav Garg, Akhil Verghese, Moritz Firsching, Quoc V. Le, Ekin Dogus Cubuk, David H. Park
Computers calculate transcendental functions by approximating them through the composition of a few limited-precision instructions.
no code implementations • 10 Aug 2020 • Thomas Fischbacher, Iulia M. Comsa, Krzysztof Potempa, Moritz Firsching, Luca Versari, Jyrki Alakuijala
We present a novel machine learning architecture that uses the exponential of a single input-dependent matrix as its only nonlinearity.
no code implementations • 1 Jun 2019 • Iulia M. Comsa, Moritz Firsching, Thomas Fischbacher
Using de Wit-Nicolai $D=4\;\mathcal{N}=8\;SO(8)$ supergravity as an example, we show how modern Machine Learning software libraries such as Google's TensorFlow can be employed to greatly simplify the analysis of high-dimensional scalar sectors of some M-Theory compactifications.