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Nov 30, 2010

Model of collimated jets with high energy particles

The increasing data set of precise observations of very energetic and collimated jets, with black hole (BH) as putative central engine, at different …
Jul 19, 2016
Probability

Part 1. Let’s first look at the case when w is bounded by a constant w∞ and define for (z,γ)∈Υ×R

Optimal control of infinite-dimensional piecewise deterministic Marko…

In this paper we define an infinite-dimensional controlled piecewise deterministic Markov process (PDMP) and we study an optimal control problem with…
Oct 21, 2012
Populations and Evolution
Statistical Mechanics
Quantitative Methods

Speed of evolution in large asexual populations with diminishing retu…

The adaptive evolution of large asexual populations is generally characterized by competition between clones carrying different beneficial mutations.…
Jul 01, 2013
Probability

The small noise limit of order-based diffusion processes

We introduce order-based diffusion processes as the solutions to multidimensional stochastic differential equations, with drift coefficient depending…
Dec 31, 2013
Probability

Pointwise convergence of the Lloyd algorithm in higher dimension

We establish the pointwise convergence of the iterative Lloyd algorithm, also known as $k$-means algorithm, when the quadratic quantization error of …
Mar 15, 2017
Optimization and Control

Solving Optimal Control Problems for Delayed Control-Affine Systems w…

- In this paper we introduce a new method to solve fixed-delay optimal control problems which exploits numerical homotopy procedures. It is known tha…
Sep 13, 2017
Optimization and Control

Solving nonlinear optimal control problems with state and control del…

In this paper we introduce a new procedure to solve nonlinear optimal control problems with delays which exploits indirect methods combined with nume…
Jun 19, 2017
Neurons and Cognition
Analysis of PDEs

Distributed synaptic weights in a LIF neural network and learning rul…

Leaky integrate-and-fire (LIF) models are mean-field limits, with a large number of neurons, used to describe neural networks. We consider inhomogene…
Jul 01, 2019
Machine Learning
Statistics Theory

Let ϵ>0, let x,y∈Rd+ such that |x−y|≤ϵd+1. We have the following inequalities:

Sparse regular variation

Regular variation provides a convenient theoretical framework to study large events. In the multivariate setting, the dependence structure of the pos…
Jan 15, 2010
Chemical Physics

Models of electrolyte solutions from molecular descriptions: The exam…

We present a method to derive implicit solvent models of electrolyte solutions from all-atom descriptions; providing analytical expressions of the th…
Nov 22, 2008
Statistics Theory

Estimation and tests for models satisfying linear constraints with …

We introduce estimation and test procedures through divergence minimization for models satisfying linear constraints with unknown parameter. Several …
Apr 08, 2011
Statistics Theory

Decomposable Pseudodistances and Applications in Statistical Estimati…

The aim of this paper is to introduce new statistical criterions for estimation, suitable for inference in models with common continuous support. Thi…
Dec 22, 2014
By abn5
Statistics Theory
Machine Learning

The work of the third author is supported by GENES, and by the French National Research Agency (ANR) as part of Idex Grant ANR -11- IDEX-0003-02, Labex ECODEC (ANR - 11-LABEX-0047), and IPANEMA grant (ANR-13-BSH1-0004-02).

An $\{l_1,l_2,l_{\infty}\}$-Regularization Approach to High-Dimension…

Several new estimation methods have been recently proposed for the linear regression model with observation error in the design. Different assumption…
Sep 25, 2013
Soft Condensed Matter
Materials Science

Bulk modulus of the nanoparticle system in concentrated magnetic flui…

In the present study we probe the bulk modulus and the structure of concentrated magnetic fluids by Small Angle X-ray Scattering. The electrostatical…
May 30, 2019
Artificial Intelligence

Learning Compositional Neural Programs with Recursive Tree Search and…

We propose a novel reinforcement learning algorithm, AlphaNPI, that incorporates the strengths of Neural Programmer-Interpreters (NPI) and AlphaZero.…
May 19, 2010
By frp3
Materials Science
Chemical Physics

Basis set construction for molecular electronic structure theory: N…

A simple yet general method for constructing basis sets for molecular electronic structure calculations is presented. These basis sets consist of ato…
Apr 20, 2015
Statistical Mechanics
Combinatorics
Mathematical Physics
Probability

Dimers on Rail Yard Graphs

We introduce a general model of dimer coverings of certain plane bipartite graphs, which we call rail yard graphs (RYG). The transfer matrices used t…
Sep 04, 2017
Classical Physic

A time-periodic mechanical analog of the quantum harmonic oscillator

We theoretically investigate the stability and linear oscillatory behavior of a naturally unstable particle whose potential energy is harmonically mo…
Oct 11, 2017
Computation and Language

Word Translation Without Parallel Data

State-of-the-art methods for learning cross-lingual word embeddings have relied on bilingual dictionaries or parallel corpora. Recent works showed th…
Mar 04, 2019
Soft Condensed Matter

Rotary motor self-assembly in a drop: putting magnetotactic bacteria …

From intracellular protein trafficking to large scale motion of animal groups, the physical concepts driving the self-organization of living systems …
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