Publications related to Pseudorandomness

Dynamical Low Rank approximation of PDEs with random parameters

In this work, we focus on the Dynamical Low Rank (DLR) approximation of PDEs equations with random parameters. This can be interpreted as a reduced basis method, where the approximate solution is expanded in separable form over a set of few deterministic b ...

EPFL2017

Gaussian versus Sparse Stochastic Processes

Julien René Pierre Fageot

Although our work lies in the field of random processes, this thesis was originally motivated by signal processing applications, mainly the stochastic modeling of sparse signals. We develop a mathematical study of the innovation model, under which a signal ...

EPFL2017

An approach for system identification in unmanned surface vehicles

Izzet Kagan Erünsal

In this study, a system identification methodology is introduced to determine the model parameters of unmanned surface vehicles. The proposed identification scheme is based on sequencing the experiments according to their capabilities to identify the model ...

IEEE2017

THE GOOD GROWTH PLAN FARM NETWORK – MONITORING RESOURCE EFFICIENCY OF CROP PRODUCTION SYSTEMS

The FAO estimates that food supplies need to increase by 70% to feed a growing population of 9 billion people by 2050. The changes in agricultural practices required to grow more tend to exert higher demand on resources and put eco-system services at risk ...

A World Resources Forum Production, PSI2017

Privacy-Friendly Photo Sharing and Relevant Applications Beyond

Lin Yuan

Popularization of online photo sharing brings people great convenience, but has also raised concerns for privacy. Researchers proposed various approaches to enable image privacy, most of which focus on encrypting or distorting image visual content. In this ...

EPFL2017

Containment and Consensus-based Distributed Coordination Control for Voltage Bound and Reactive Power Sharing in AC Microgrid

Giancarlo Ferrari Trecate, Renke Han

This paper offers a highly flexible and reliable control strategy to achieve voltage bounded regulation and accurate reactive power sharing coordinately in AC Micro-Grids. A containment and consensus-based distributed coordination controller is proposed, b ...

Ieee2017

Electrophysiological correlates of visual backward masking in first-episode psychosis

Michael Herzog, Maya Roinishvili, Ophélie Gladys Favrod

Schizophrenia is a heterogeneous disorder and among other symptoms, patients have important visual impairments. Visual paradigms are therefore important tools to investigate the mechanisms of schizophrenia. We have previously shown that visual backward mas ...

2017

MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation

Fabio Nobile, Sebastian Krumscheid, Michele Pisaroni

In this work we introduce and analyze a novel multilevel Monte Carlo (MLMC) estimator for the accurate approximation of central moments of system outputs affected by uncertainties. Central moments play a central role in many disciplines to characterize a r ...

MATHICSE2017

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Fabio Nobile, Eleonora Musharbash

In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of

2S

dynamica ...

2017

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

Fabio Nobile, Eleonora Musharbash, Eva Vidlicková

In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of 2S dynamical ...

MATHICSE2017

Pseudorandomness

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Dynamical Low Rank approximation of PDEs with random parameters

Gaussian versus Sparse Stochastic Processes

An approach for system identification in unmanned surface vehicles

THE GOOD GROWTH PLAN FARM NETWORK – MONITORING RESOURCE EFFICIENCY OF CROP PRODUCTION SYSTEMS

Privacy-Friendly Photo Sharing and Relevant Applications Beyond

Containment and Consensus-based Distributed Coordination Control for Voltage Bound and Reactive Power Sharing in AC Microgrid

Electrophysiological correlates of visual backward masking in first-episode psychosis

MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

THE GOOD GROWTH PLAN FARM NETWORK – MONITORING RESOURCE EFFICIENCY OF CROP PRODUCTION SYSTEMS

Containment and Consensus-based Distributed Coordination Control for Voltage Bound and Reactive Power Sharing in AC Microgrid

Dynamical Low Rank approximation of PDEs with random parameters

Gaussian versus Sparse Stochastic Processes

An approach for system identification in unmanned surface vehicles

Privacy-Friendly Photo Sharing and Relevant Applications Beyond

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Electrophysiological correlates of visual backward masking in first-episode psychosis