Publications related to Random variable

Mitochondria-specific photoactivation to monitor local sphingosine metabolism and function

Photoactivation ('uncaging') is a powerful approach for releasing bioactive small molecules in living cells. Current uncaging methods are limited by the random distribution of caged molecules within cells. We have developed a mitochondria-specific photoact ...

2018

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Nicolas Henri Bernard Flammarion

We propose an estimator for the mean of a random vector in Rd that can be computed in time O(n3.5 + n2d) for n i.i.d. samples and that has error bounds matching the sub-Gaussian case. The only assumptions we make about the data distribution are that it has ...

2018

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method

Fabio Nobile, Diane Sylvie Guignard

In this work, we consider an elliptic partial differential equation (PDE) with a random coefficient solved with the stochastic collocation finite element method (SC-FEM). The random diffusion coefficient is assumed to depend in an affine way on independent ...

2018

CASSIS: Characterization with Adaptive Sample-Size Inferential Statistics Applied to Inexact Circuits

Vincent Frédéric Camus

To design faster and more energy-efficient systems, numerous inexact arithmetic operators have been proposed, generally obtained by modifying the logic structure of conventional circuits. However, as the quality of service of an application has to be ensur ...

2018

Achieving robotically peeled lettuce

Josephine Anna Eleanor Hughes

Robotic technologies are being increasingly applied to agriculture, in particular to harvesting. Some types of produce such as iceberg lettuce require additional processing after harvesting in order to satisfy the needs of the end-user or customer. Lettuce ...

Institute of Electrical and Electronics Engineers Inc.2018

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

Kyong Hwan Jin

Compressed sensing is provided a data-acquisition paradigm for sparse signals. Remarkably, it has been shown that the practical algorithms provide robust recovery from noisy linear measurements acquired at a near optimal sampling rate. In many real-world a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Dislocation Cross-Slip in Face-Centered Cubic Solid Solution Alloys

Wolfram Georg Nöhring

The mechanical strength of metals depends on their resistance against various microscopic deformation processes. In ductile metals, the most important process is shearing of the crystal lattice by dislocations. One of the fundamental aspects of dislocation ...

EPFL2018

Coordinate-Descent Diffusion Learning by Networked Agents

Ali H. Sayed, Bicheng Ying, Chengcheng Wang

This paper examines the mean-square error performance of diffusion stochastic algorithms under a generalized coordinate-descent scheme. In this setting, the adaptation step by each agent is limited to a random subset of the coordinates of its stochastic gr ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Convergence To Stratified Flow For An Inviscid 3D Boussinesq System

Klaus Martin Widmayer

We study the stability of special, stratified solutions of a 3D Boussinesq system describing an incompressible, inviscid 3D fluid with variable density (or temperature, depending on the context) under the effect of a uni-directional gravitational force. Th ...

INT PRESS BOSTON, INC2018

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Mitochondria-specific photoactivation to monitor local sphingosine metabolism and function

Averaging Stochastic Gradient Descent on Riemannian Manifolds

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method

CASSIS: Characterization with Adaptive Sample-Size Inferential Statistics Applied to Inexact Circuits

Achieving robotically peeled lettuce

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Dislocation Cross-Slip in Face-Centered Cubic Solid Solution Alloys

Coordinate-Descent Diffusion Learning by Networked Agents

Convergence To Stratified Flow For An Inviscid 3D Boussinesq System

Averaging Stochastic Gradient Descent on Riemannian Manifolds

CASSIS: Characterization with Adaptive Sample-Size Inferential Statistics Applied to Inexact Circuits

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

Dislocation Cross-Slip in Face-Centered Cubic Solid Solution Alloys

Convergence To Stratified Flow For An Inviscid 3D Boussinesq System

Mitochondria-specific photoactivation to monitor local sphingosine metabolism and function

Achieving robotically peeled lettuce

Coordinate-Descent Diffusion Learning by Networked Agents