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Publications associées (233)
Magnetization-prepared 2 Rapid Gradient-Echo MRI for B-1 Insensitive 3D T1 Mapping of Hip Cartilage: An Experimental and Clinical Validation
Background: Often used for T1 mapping of hip cartilage, three-dimensional (3D) dual-flip-angle (DFA) techniques are highly sensitive to flip angle variations related to B-1 inhomogeneities. The authors hypothesized that 3D magnetization-prepared 2 rapid gr ...
RADIOLOGICAL SOC NORTH AMERICA2021Lagrangian Discretization Of Crowd Motion And Linear Diffusion
We study a model of crowd motion following a gradient vector field, with possibly additional interaction terms such as attraction/repulsion, and we present a numerical scheme for its solution through a Lagrangian discretization. The density constraint of t ...
SIAM PUBLICATIONS2020Locally supported tangential vector, n-vector, and tensor fields
We introduce a construction of subspaces of the spaces of tangential vector, n-vector, and tensor fields on surfaces. The resulting subspaces can be used as the basis of fast approximation algorithms for design and processing problems that involve tangenti ...
WILEY2020Progress in the Design of a Hybrid HTS-Nb3Sn-NbTi Central Solenoid for the EU DEMO
Pierluigi Bruzzone, Kamil Sedlák, Davide Uglietti, Rainer Wesche
State-of-the-art high field solenoids make use of hybrid designs exploiting the superior high field performance of High Temperature Superconductors (HTS) in the innermost region. The benefits of a hybrid Central Solenoid in a pulsed tokamak like the EU DEM ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020An Instrumented High-Speed Rotor with Embedded Telemetry for The Continuous Spatial Pressure Profile Measurement in Gas Lubricated Bearings: A Proof of Concept
Jürg Alexander Schiffmann, Karim Magdi Zakaria Abdelrahman Shalash
Pressure is one of the constitutional quantities governing the flow field in gas lubricated bearings. Knowledge of the pressure is of principal importance in the fundamental understanding of such bearings and for the calibration of reduced order models. Th ...
2020Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Nonconvex minimax problems appear frequently in emerging machine learning applications, such as generative adversarial networks and adversarial learning. Simple algorithms such as the gradient descent ascent (GDA) are the common practice for solving these ...
2020Byzantine machine learning
Rachid Guerraoui, Mahsa Taziki, El Mahdi El Mhamdi, Sébastien Louis Alexandre Rouault
The present invention concerns computer-implemented methods for training a machine learning model using Stochastic Gradient Descent, SGD. In one embodiment, the method is performed by a first computer in a distributed computing environment and comprises pe ...
2020MATHICSE Technical Report : Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation
Fabio Nobile, Davide Pradovera
We present a technique for Model Order Reduction (MOR) of frequency-domain problems relying on rational interpolation of vector-valued functions. The selection of the sample points is carried out adaptively according to a greedy procedure. We describe seve ...
MATHICSE2020Gyrokinetic full-f particle-in-cell simulations on open field lines with PICLS
Emmanuel Lanti, Alberto Bottino, Noé Thomas Elie Ohana
While in recent years gyrokinetic simulations have become the workhorse for theoretical turbulence and transport studies in the plasma core, their application to the edge and scrape-off layer (SOL) region presents significant challenges. In particular, ste ...
2019