OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

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Over the last two decades, Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) has been developed as a powerful MR imaging modality that allows estimating non-invasively the microscopic structure of biological tissues by exploiting the natural motion of ...

Let X={Xu}u is an element of U be a real-valued Gaussian process indexed by a set U. We show that X can be viewed as a graphical model with an uncountably infinite graph, where each Xu is a vertex. This graph is characterized by the reproducing property of ...

Topological defects and disorder counteract each other. Intuitively, disorder is considered detrimental, requiring efforts to mitigate its effects in conventional topological photonics. We propose a counter-intuitive approach that exploits a real–momentum ...

Activity-based models offer the potential for a far deeper understanding of daily mobility behaviour than trip-based models. Based on the fundamental assumption that travel demand is derived from the need to do activities, they are flexible tools that aim ...

The transition to sustainable energy demands a fundamental redesign of the electrical grid, especially at the distribution level. With the increasing deployment of distributed energy resources, the development of reliable models, accurate state estimation ...

Modern integrated circuits are tiny yet incredibly complex technological artifacts, composed of millions and billions of individual structures working in unison. Managing their complexity and facilitating their design drove part of the co-evolution of mode ...

In this paper we propose a Monte Carlo maximum likelihood estimation strategy for discretely observed Wright–Fisher diffusions. Our approach provides an unbiased estimator of the likelihood function and is based on exact simulation techniques that are of s ...

An a posteriori error estimator based on an equilibrated flux reconstruction is proposed for defeaturing problems in the context of finite element discretizations. Defeaturing consists in the simplification of a geometry by removing features that are consi ...

Chip -scale optical frequency combs enable the generation of highly -coherent pulsed light at gigahertz-level repetition rates, with potential technological impact ranging from telecommunications to sensing and spectroscopy. In combination with techniques ...

Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters grouped to model ...

This paper focuses on parameter estimation and introduces a new method for lower bounding the Bayesian risk. The method allows for the use of virtually any information measure, including Rényi's α, φ-divergences, and Sibson's α-Mutual Information. The appr ...

Over the last decades, the progress made in the generation of laser pulses shorter than a picosecond (10^-12 s) has allowed us to reach extreme optical power intensities exceeding 10^15 W cm^-2. This tremendous power has triggered an abundance of original ...

Winged aerial robots and Unmanned Aerial Vehicles (UAVs) commonly referred to as winged drones and drones, are increasingly used in a wide range of professional and non-professional applications today, spanning from civilian to military. As a result, they ...

Electro-optical photonic integrated circuits (PICs) based on lithium niobate (LiNbO3) have demonstrated the vast capabilities of materials with a high Pockels coefficient1,2. They enable linear and high-speed modulators operating at complementary metal–oxi ...

This thesis presents a comprehensive theory of information-theoretic measures for characterizing the complexity and higher-order dependence structures of graphs. We introduce multivariate complexity and dependence measures for graphs within the framework o ...

We introduce the elliptical Ornstein-Uhlenbeck (OU) process, which is a generalisation of the well-known univariate OU process to bivariate time series. This process maps out elliptical stochastic oscillations over time in the complex plane, which are obse ...

On-chip coherent light generation has wide-ranging applications in metrology, spectroscopy, quantum optics, etc. In this study, we demonstrate the generation of coherent light from a silicon-nitride microring resonator using cascaded nonlinear processes. T ...

The objective of this study is to address the difficulty of simplifying the geometric model in which a differential problem is formulated, also called defeaturing, while simultaneously ensuring that the accuracy of the solution is maintained under control. ...

Integrated quantum photonics leverages the on-chip generation of nonclassical states of light to realize key functionalities of quantum devices. Typically, the generation of such nonclassical states relies on whispering gallery mode resonators, such as int ...

We consider the problem of nonparametric estimation of the drift and diffusion coefficients of a Stochastic Differential Equation (SDE), based on n independent replicates {Xi(t) : t is an element of [0 , 1]}13 d B(t), where alpha is an element of {0 , 1} a ...

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Chattez avec Graph Search

Simulation-based Microstructure Imaging: Towards Realistic White Matter Modeling using Monte Carlo Methods in DW-MRI

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Disorder-assisted real–momentum topological photonic crystal

OASIS: An integrated optimisation framework for activity scheduling

Estimation and control under uncertainty with application to power systems

Graph generative deep learning models with an application to circuit topologies

Unbiased Likelihood Estimation of Wright–Fisher Diffusion Processes

An equilibrated flux a posteriori error estimator for defeaturing problems

Dissipative Kerr soliton generation at 2μm in a silicon nitride microresonator

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Lower Bounds on the Bayesian Risk via Information Measures

In situ monitoring of femtosecond laser-induced modifications in dielectrics

Resilient drones with morphing wings

Lithium tantalate photonic integrated circuits for volume manufacturing

An Information-Theoretic Framework for Multiplex Graphs

The elliptical Ornstein-Uhlenbeck process

UV, visible and near-infrared light generation through cascaded nonlinear processes in silicon-nitride microring resonators pumped at telecom wavelength

A Shape Derivative Approach to Domain Simplification

Generation of entangled photon pairs from a silicon bichromatic photonic crystal cavity

Nonparametric estimation for SDE with sparsely sampled paths: An FDA perspective