116 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH7 papers
- ZHAW Zurich University of Applied SciencesCH4 papers
- ETH ZurichCH3 papers
- Brookhaven National LaboratoryUS2 papers
- Institute for Biomedical EngineeringCH2 papers
- AGH University of KrakowPL1 paper
- CEA GrenobleFR1 paper
- Center for Pediatric Endocrinology ZurichCH1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Cracow University of TechnologyPL1 paper
- Delft University of TechnologyNL1 paper
9 papers
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
Arjhun Swaminathan, Anika Hannemann, Ali Burak Ünal +2
Genome-wide association studies are pivotal in understanding the genetic underpinnings of complex traits and diseases. Collaborative, multi-site GWAS aim to enhance statistical pow…
Single-photon detection using high-temperature superconductors
I. Charaev, D. A. Bandurin, A. T. Bollinger +10
The detection of individual quanta of light is important for quantum computation, fluorescence lifetime imaging, single-molecule detection, remote sensing, correlation spectroscopy…
Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts
Mária Lakatos, Sebastian Lerch, Stephan Hemri +1
An influential step in weather forecasting was the introduction of ensemble forecasts in operational use due to their capability to account for the uncertainties in the future stat…
Localized adversarial artifacts for compressed sensing MRI
Rima Alaifari, Giovanni S. Alberti, Tandri Gauksson
As interest in deep neural networks (DNNs) for image reconstruction tasks grows, their reliability has been called into question (Antun et al., 2020; Gottschling et al., 2020). How…
Microchannel cooling for the LHCb VELO Upgrade I
Oscar Augusto De Aguiar Francisco, Wiktor Byczynski, Kazu Akiba +57
The LHCb VELO Upgrade I, currently being installed for the 2022 start of LHC Run 3, uses silicon microchannel coolers with internally circulating bi-phase \cotwo for thermal contro…
Distributional Anchor Regression
Lucas Kook, Beate Sick, Peter Bühlmann
Prediction models often fail if train and test data do not stem from the same distribution. Out-of-distribution (OOD) generalization to unseen, perturbed test data is a desirable b…
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology
Gilles Kratzer, Reinhard Furrer
Bayesian network modelling is a well adapted approach to study messy and highly correlated datasets which are very common in, e.g., systems epidemiology. A popular approach to lear…
EggCounts: a Bayesian hierarchical toolkit to model faecal egg count reductions
Craig Wang, Reinhard Furrer
This is a vignette for the R package eggCounts version 2.0. The package implements a suite of Bayesian hierarchical models dealing with faecal egg count reductions. The models are…
Hierarchical Consensus Formation Reduces the Influence of Opinion Bias
Nicolas Perony, René Pfitzner, Ingo Scholtes +2
We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the…