most citedWhat do AI algorithms actually learn? - On false structures in deep learning

15 citations · 21 across the 2 of their papers we have counts for

collaborators

7 papers

math.NA20206 cited

Computing solutions of Schrödinger equations on unbounded domains- On the brink of numerical algorithms

Simon Becker, Anders Hansen

We address the open problem of determining which classes of time-dependent linear Schrödinger equations and focusing and defocusing cubic and quintic non-linear Schrödinger equatio…

physics.med-ph2019

Compressed Sensing MRI With Variable Density Averaging (CS-VDA) Outperforms Full Sampling At Low SNR

Jasper Schoormans, Gustav J. Strijkers, Anders C. Hansen +2

We investigated whether a combination of k-space undersampling and variable density averaging enhances image quality for low-SNR MRI acquisitions. We implemented 3D Cartesian k-spa…

math.NA2019

Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing

Laura Thesing, Anders Christian Hansen

Due to the many applications in Magnetic Resonance Imaging (MRI), Nuclear Magnetic Resonance (NMR), radio interferometry, helium atom scattering etc., the theory of compressed sens…

math.NA2019

On the stable sampling rate for binary measurements and wavelet reconstruction

Anders Christian Hansen, Laura Thesing

This paper is concerned with the problem of reconstructing an infinite-dimensional signal from a limited number of linear measurements. In particular, we show that for binary measu…

cs.IT2019

Linear reconstructions and the analysis of the stable sampling rate

Laura Thesing, Anders Christian Hansen

The theory of sampling and the reconstruction of data has a wide range of applications and a rich collection of techniques. For many methods a core problem is the estimation of the…

stat.ML201915 cited

What do AI algorithms actually learn? - On false structures in deep learning

Laura Thesing, Vegard Antun, Anders C. Hansen

There are two big unsolved mathematical questions in artificial intelligence (AI): (1) Why is deep learning so successful in classification problems and (2) why are neural nets bas…