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Using Machine Learning for identifying TEC signatures related to earthquakes and tsunamis: the 2015 Illapel event case study
(2024)EGUsphereOther Conference Item -
Modelling the mountain boundary layer: Does higher resolution improve model performance?
(2024)The horizontal grid spacing of numerical weather prediction models keeps decreasing towards the hectometric range, where topography, land-use, and other static parameters are well-resolved. Still, models have to be evaluated over complex terrain, because it cannot be assumed that higher horizontal resolution automatically yields better model performance. In this study, we perform limited-area simulations with the ICON model across horizontal ...Other Conference Item -
AIRETH 2.0 – a revamped helicopter-borne GPR for glaciological applications
(2024)EGUsphereOther Conference Item -
Non-line-of-sight GNSS Signal Classification for Urban Navigation Using Machine Learning
(2024)EGUsphereOther Conference Item -
An Ionospheric Forecasting Model Based on Transfer Learning Using High-Resolution Global Ionospheric Maps
(2024)EGUsphereOther Conference Item -
Towards muon cooling at the Paul Scherrer Institute
(2024)PoS: Proceedings of Science ~ Muon4Future WorkshopAt the Paul Scherrer Institute, the muCool device is being developed to compress the 6D phase space of a standard μ+ beam by a factor of 109 with up to 10-4 efficiency. Efficient compression has been observed using a cryogenic helium gas target and a complex geometry of E and B-fields. Once compressed, the beam has to be extracted through a windowless orifice into vacuum and a field-free region. This article outlines the status of the ...Other Conference Item -
Quantitative Group Testing and Pooled Data with Sublinear Number of Tests
(2024)International Zurich Seminar on Information and Communication (IZS 2024). ProceedingsIn the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number of items of each category within the pool. A prominent special case is quantitative group testing (QGT), which is the case of pooled data with two categories. We consider these problems in the linear regime, where the fraction of items in each category is of ...Other Conference Item -
A Representation-Learning Game for Classes of Prediction Tasks
(2024)International Zurich Seminar on Information and Communication (IZS 2024). ProceedingsWe propose a game-theoretic formulation for learn ing dimensionality-reducing representations of feature vectors, when a prior knowledge on future prediction tasks is available. We analytically find the value of the game and optimal mixed (randomized) strategies for the case of linear representations, tasks, and the mean squared error loss, and propose an algorithm for general classes of representations, tasks, and loss functions.Other Conference Item -
Neural Compression with Lattice Transform Coding
(2024)International Zurich Seminar on Information and Communication (IZS 2024). ProceedingsOther Conference Item