Publications related to Least absolute deviations

Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Julia Schmale, Ivo Fabio Beck

This dataset contains corrected particle number concentration data measured during the year long MOSAiC expedition from October 2019 to September 2020. The measurement was performed in the Swiss aerosol container on the D-deck of Research Vessel Polarstern ...

EPFL Infoscience2022

Worldwide performance evaluation of ground surface reflectance models

Christophe Ballif, Pierre-Jean Alet, Arttu Matias Tuomiranta

To improve the accuracy of bifacial gain estimation, recent radiative models of solar energy systems have abandoned the traditional assumption of isotropic ground-reflected radiance. However, surface reflectance itself is still commonly considered as a con ...

2021

In vivo macromolecule signals in rat brain 1 H‐MR spectra at 9.4T: Parametrization, spline baseline estimation, and T 2 relaxation times

Lijing Xin, Cristina Ramona Cudalbu, Bernard Lanz, Dunja Simicic, Veronika Rackayová

Purpose Reliable detection and fitting of macromolecules (MM) are crucial for accurate quantification of brain short-echo time (TE) 1H-MR spectra. An experimentally acquired single MM spectrum is commonly used. Higher spectral resolution at ultra-high fiel ...

2021

Numerical investigation on the volute cutwater for pumps running in turbine mode

Elena Vagnoni, Alessandro Morabito

The hydropower sector has recently raised the interest in pump as turbine (PaT) that can be a valid trade-off between capital cost and performance in micro-scale installations. Nevertheless, the modest efficiency of PaTs often restricts their exploitation. ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

Fernando Porté Agel, Jiannong Fang, Lorenzo Donadio

In the past two decades, wind energy has been under fast development worldwide. The dramatic increase of wind power penetration in electricity production has posed a big challenge to grid integration due to the high uncertainty of wind power. Accurate real ...

2021

Decision Learning and Adaptation Over Multi-Task Networks

Ali H. Sayed

This paper studies the operation of multi-agent networks engaged in multi-task decision problems under the paradigm of simultaneous learning and adaptation. Two scenarios are considered:one in which a decision must be taken among multiple states of nature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Work fluctuations in the active Ornstein-Uhlenbeck particle model

Francesco Cagnetta

We study the large deviations of the power injected by the active force for an active Ornstein-Uhlenbeck particle (AOUP), free or in a confining potential. For the free-particle case, we compute the rate function analytically in d-dimensions from a saddle- ...

IOP Publishing Ltd2021

Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities

Volkan Cevher, Kimon Antonakopoulos, Thomas Michaelsen Pethick, Ali Kavis

We examine a flexible algorithmic framework for solving monotone variational inequalities in the presence of randomness and uncertainty. The proposed template encompasses a wide range of popular first-order methods, including dual averaging, dual extrapola ...

2021

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Least absolute deviations

Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Worldwide performance evaluation of ground surface reflectance models

In vivo macromolecule signals in rat brain 1 H‐MR spectra at 9.4T: Parametrization, spline baseline estimation, and T 2 relaxation times

Discrete-Choice Mining of Social Processes

Numerical investigation on the volute cutwater for pumps running in turbine mode

Compact atomic descriptors enable accurate predictions via linear models

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

Decision Learning and Adaptation Over Multi-Task Networks

Work fluctuations in the active Ornstein-Uhlenbeck particle model

Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities

Graph Chatbot

Chat with Graph Search

Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities

In vivo macromolecule signals in rat brain 1 H‐MR spectra at 9.4T: Parametrization, spline baseline estimation, and T 2 relaxation times

Numerical investigation on the volute cutwater for pumps running in turbine mode

Compact atomic descriptors enable accurate predictions via linear models

Discrete-Choice Mining of Social Processes

Worldwide performance evaluation of ground surface reflectance models

Decision Learning and Adaptation Over Multi-Task Networks

Work fluctuations in the active Ornstein-Uhlenbeck particle model

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast