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Jan 22, 2018
Analysis of PDEs

Our approach uses the stiffness parameter ε and a smoothed stiff response function Ψε(Y)=Ψ(Yε). In other words, we consider the following smooth stiff tumbling kernel

The Flux Limited Keller-Segel System; Properties and Derivation from …

The flux limited Keller-Segel (FLKS) system is a macroscopic model describing bacteria motion by chemotaxis which takes into account saturation of th…
Feb 17, 2012
Probability

We thank the Laboratoire de Probabilités et Modèles Aléatoires, the University Paris VII and the Department of Mathematics of the University of Roma Tre for the support and the kind hospitality.

Kinetically constrained spin models on trees

We analyze kinetically constrained 0-1 spin models (KCSM) on rooted and unrooted trees of finite connectivity. We focus in particular on the class of…
Jul 25, 2008
Statistics Theory

Optimal weighting for false discovery rate control

How to weigh the Benjamini-Hochberg procedure? In the context of multiple hypothesis testing, we propose a new step-wise procedure that controls the …
Feb 04, 2016
Analysis of PDEs
Probability

The work of MD is supported by F.R.S.-FNRS (Belgian National Fund for Scientific Research) through a Research Fellowship. MD and AG acknowledge financial support from the European Research Council under the European Community’s Seventh Framework Pro…

The structure of fluctuations in stochastic homogenization

Four quantities are fundamental in homogenization of elliptic systems in divergence form and in its applications: the field and the flux of the solut…
Mar 21, 2018
Conferences: CVPR
Computer Vision

HATS: Histograms of Averaged Time Surfaces for Robust Event-based Obj…

Event-based cameras have recently drawn the attention of the Computer Vision community thanks to their advantages in terms of high temporal resolutio…
Jul 01, 2015
Populations and Evolution

Epistasis and constraints in fitness landscapes

Genotypic fitness landscapes are constructed by assessing the fitness of all possible combinations of a given number of mutations. In the last years,…
Oct 11, 2011
Atomic Physic

Ultra-high Resolution Spectroscopy with atomic or molecular Dark Re…

Exact and asymptotic lineshape expressions are derived from the semi-classical density matrix representation describing a set of closed three-level a…
Jul 16, 2014
Statistics Theory
Machine Learning

Online Asynchronous Distributed Regression

Distributed computing offers a high degree of flexibility to accommodate modern learning constraints and the ever increasing size of datasets involve…
Dec 14, 2012
Biomolecules
Statistical Mechanics
Quantitative Methods

From principal component to direct coupling analysis of coevolution i…

Various approaches have explored the covariation of residues in multiple-sequence alignments of homologous proteins to extract functional and structu…
Mar 19, 2015
Chemical Physics
Other Condensed Matter

Calculating excitation energies by extrapolation along adiabatic co…

In this paper, an alternative method to range-separated linear-response time-dependent density-functional theory and perturbation theory is proposed …
Oct 16, 2015
Networking and Internet Architecture

Latency Versus Survivability in Geo-Distributed Data Center Design

A hot topic in data center design is to envision geo-distributed architectures spanning a few sites across wide area networks, allowing more proximit…
Aug 27, 2014
Superconductivity
Materials Science

Universal enhancement of superconductivity in two dimensional semic…

In two-dimensional multivalley semiconductors, at low doping, even a moderate electron-electron interaction enhances the response to any perturbation…
Mar 28, 2018
Numerical Analysis

Energy and implicit discretization of the Fokker-Planck and Keller-Se…

The parabolic-elliptic Keller-Segel equation with sensitivity saturation, because of its pattern formation ability, is a challenge for numerical simu…
Jun 26, 2017
Statistics Theory

Improving the Benjamini-Hochberg Procedure for Discrete Tests

To find interesting items in genome-wide association studies or next generation sequencing data, a crucial point is to design powerful false discover…
Jun 07, 2018
Robotics
Artificial Intelligence
Machine Learning

Discovering space - Grounding spatial topology and metric regularity …

In line with the sensorimotor contingency theory, we investigate the problem of the perception of space from a fundamental sensorimotor perspective. …
Jun 12, 2018
Atomic Physic

Progress and perspectives on composite laser-pulses spectroscopy for …

Probing an atomic resonance without disturbing it is an ubiquitous issue in physics. This problem is critical in high-accuracy spectroscopy or for th…
Feb 28, 2019
Trading and Market Microstructure

From Glosten-Milgrom to the whole limit order book and applications t…

We build an agent-based model for the order book with three types of market participants: informed trader, noise trader and competitive market makers…
Oct 21, 2012
Optimization and Control

Sparse Stabilization and Control of Alignment Models

From a mathematical point of view self-organization can be described as patterns to which certain dynamical systems modeling social dynamics tend spo…
May 27, 2013
Statistics Theory
Computational Geometry
Machine Learning
Geometric Topology

Optimal rates of convergence for persistence diagrams in Topological …

Computational topology has recently known an important development toward data analysis, giving birth to the field of topological data analysis. Topo…
Jan 03, 2014
Optimization and Control

Shape deformation analysis from the optimal control viewpoint

A crucial problem in shape deformation analysis is to determine a deformation of a given shape into another one, which is optimal for a certain cost.…
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