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Publications associées (34)
Verification and validation procedures with applications to plasma-edge turbulence simulations
Understanding the plasma dynamics in tokamaks is of fundamental importance to reliably predict the performances of future fusion devices. Because of the complex phenomena at play, state-of-the-art simulation codes are needed to investigate the plasma dynam ...
EPFL2017Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs
Fabio Nobile, Eleonora Musharbash
In this work we discuss the dynamically orthogonal (DO) approximation of time dependent partial differential equations with random data. The approximate solution is expanded at each time instant on a time dependent orthonormal basis in the physical domain ...
2015Asynchronous Adaptation and Learning Over Networks—Part I: Modeling and Stability Analysis
In this work and the supporting Parts II and III of this paper, also in the current issue, we provide a rather detailed analysis of the stability and performance of asynchronous strategies for solving distributed optimization and adaptation problems over n ...
Institute of Electrical and Electronics Engineers2015MATHICSE Technical Report : On the dynamically orthogonal approximation of time dependent random PDEs
Fabio Nobile, Eleonora Musharbash
In this work we discuss the Dynamically Orthogonal (DO) approximation of time dependent partial differential equations with random data. The approximate solution is expanded at each time instant on a time dependent orthonormal basis in the physical domain ...
MATHICSE2014Compressed Sensing of Memoryless Sources
Compressed sensing is a new trend in signal processing for efficient sampling and signal acquisition. The idea is that most real-world signals have a sparse representation in an appropriate basis and this can be exploited to capture the sparse signal by ta ...
EPFL2014Blind Sensor Calibration in Sparse Recovery Using Convex Optimization
We investigate a compressive sensing system in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using measures performed on a few unknown (but sparse) signals. We extend our earlier s ...
2013How are non-retinotopic motion signals integrated? -A high-density EEG study
Michael Herzog, Gijs Plomp, Yvonne Evelina Thunell
Objects moving in the visual scene cause retinal displacements that are not the result of motor commands and thus cannot be accounted for by efference copies. Yet, we easily keep track of moving objects even without following them with our gaze. Here, we i ...
2013Protein tag-mediated conjugation of oligonucleotides to recombinant affinity binders for proximity ligation
While antibodies currently play a dominant role as affinity reagents in biological research and for diagnostics, a broad range of recombinant proteins are emerging as promising alternative affinity reagents in detection assays and quantification. DNA-media ...
Elsevier2013Combinatorial expression rules of ion channel genes in juvenile rat (Rattus norvegicus) neocortical neurons
Henry Markram, Felix Schürmann, Georges Khazen
The electrical diversity of neurons arises from the expression of different combinations of ion channels. The gene expression rules governing these combinations are not known. We examined the expression of twenty-six ion channel genes in a broad range of s ...
Public Library of Science2012Adaptive sparse grid algorithms with applications to electromagnetic scattering under uncertainty
Jan Sickmann Hesthaven, Zhen Gao
We discuss adaptive sparse grid algorithms for stochastic differential equations with a particular focus on applications to electromagnetic scattering by structures with holes of uncertain size, location, and quantity. Stochastic collocation (SC) methods a ...
Elsevier2011