Combining Fourier Analysis And Machine Learning To Estimate The Shallow-Ground Thermal Diffusivity In Switzerland

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We generalize and provide a linear algebra-based perspective on a finite element (FE) ho-mogenization scheme, pioneered by Schneider et al. (2017)[1] and Leuschner and Fritzen (2018)[2]. The efficiency of the scheme is based on a preconditioned, well-scale ...

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Combining Fourier Analysis And Machine Learning To Estimate The Shallow-Ground Thermal Diffusivity In Switzerland

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An optimal preconditioned FFT-accelerated finite element solver for homogenization

Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

Probabilistic methods for neural combinatorial optimization

Robustness of Local Predictions in Atomistic Machine Learning Models

The diachronic development of Debussy’s musical style: a corpus study with Discrete Fourier Transform

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Performance of Social Machine Learning under Limited Data

Electron spectrometer calibration method

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