62 citations · 184 across the 27 of their papers we have counts for
31 papers
A resolution of the Gaussian hyperplane tessellation conjecture on the sphere
Sjoerd Dirksen, Nigel Q. D. Strachan
We investigate how many hyperplanes with independent standard Gaussian directions one needs to produce a -uniform tessellation of a subset of the Euclidean sphere, meaning t…
Subspace and DOA estimation under coarse quantization
Sjoerd Dirksen, Weilin Li, Johannes Maly
We study direction-of-arrival (DOA) estimation from coarsely quantized data. We focus on a two-step approach which first estimates the signal subspace via covariance estimation and…
Memorization With Neural Nets: Going Beyond the Worst Case
Sjoerd Dirksen, Patrick Finke, Martin Genzel
In practice, deep neural networks are often able to easily interpolate their training data. To understand this phenomenon, many works have aimed to quantify the memorization capaci…
Tuning-free one-bit covariance estimation using data-driven dithering
Sjoerd Dirksen, Johannes Maly
We consider covariance estimation of any subgaussian distribution from finitely many i.i.d. samples that are quantized to one bit of information per entry. Recent work has shown th…
Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems
Tianyu Yang, Johannes Maly, Sjoerd Dirksen +1
As the array dimension of massive MIMO systems increases to unprecedented levels, two problems occur. First, the spatial stationarity assumption along the antenna elements is no lo…
Fast metric embedding into the Hamming cube
Sjoerd Dirksen, Shahar Mendelson, Alexander Stollenwerk
We consider the problem of embedding a subset of into a low-dimensional Hamming cube in an almost isometric way. We construct a simple, data-oblivious, and computati…