Concept
Interacting particle system
Related publications (20)
Millimeter-wave to near-terahertz sensors based on reversible insulator-to-metal transition in VO2
Mihai Adrian Ionescu, Teodor Rosca, Fatemeh Qaderi Rahaqi
In the quest for low power bio-inspired spiking sensors, functional oxides like vanadium dioxide are expected to enable future energy efficient sensing. Here, we report uncooled millimeter-wave spiking detectors based on the sensitivity of insulator-to-met ...
SPRINGERNATURE2023Dynamics of Dual-Mode Bedload Transport With Three-Dimensional Alternate Bars Migration in Subcritical Flow: Experiments and Model Analysis
Mehrdad Kiani Oshtorjani, Zhipeng Li, Yong Zhang
Bedload transport often exhibits dual-mode behavior due to interactions of spatiotemporal controlling factors with the migrating three-dimensional bedforms (characterized by the fully developed patterns in the bed, such as alternate bars, pools, and cluste ...
AMER GEOPHYSICAL UNION2023Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes
We study the problem of learning unknown parameters of stochastic dynamical models from data. Often, these models are high dimensional and contain several scales and complex structures. One is then interested in obtaining a reduced, coarse-grained descript ...
EPFL2022Dynamical low rank approximation for uncertainty quantification of time-dependent problems
The quantification of uncertainties can be particularly challenging for problems requiring long-time integration as the structure of the random solution might considerably change over time. In this respect, dynamical low-rank approximation (DLRA) is very a ...
EPFL2022Low-rank tensor methods for large Markov chains and forward feature selection methods
Francisco Santos Paredes Quartin de Macedo
In the first part of this thesis, we present and compare several approaches for the determination of the steady-state of large-scale Markov chains with an underlying low-rank tensor structure. Such structure is, in our context of interest, associated with ...
EPFL2018Parametric Experimental Study and Design of Experiment Modelling of Sapphire Grinding
This study investigates and models the grinding process of single crystal sapphire. Five parameters: the wheel speed, the feed speed, the vertical feed, the ultrasonic assistance and the crystallographic direction were considered via a design of experiment ...
Elsevier2017Exact soliton-like probability measures for interacting jump processes
The cooperative dynamics of a 1-D collection of Markov jump, interacting stochastic processes is studied via a mean-field (MF) approach. In the time-asymptotic regime, the resulting nonlinear master equation is analytically solved. The nonlinearity compens ...
2015Low-Rank Tensor Methods for Communicating Markov Processes
Daniel Kressner, Francisco Santos Paredes Quartin de Macedo
Stochastic models that describe interacting processes, such as stochastic automata networks, feature a dimensionality that grows exponentially with the number of processes. This state space explosion severely impairs the use of standard methods for the num ...
Springer-Verlag Berlin2014Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling
Michaël Unser, John Paul Ward, Aurélien Bourquard, Hagay Kirshner
We introduce an adaptive continuous-domain modeling approach to texture and natural images. The continuous-domain image is assumed to be a smooth function, and we embed it in a parameterized Sobolev space. We point out a link between Sobolev spaces and sto ...
Ieee-Inst Electrical Electronics Engineers Inc2014A stochastic games framework for verification and control of discrete time stochastic hybrid systems
Maryam Kamgarpour, John Lygeros
We describe a framework for analyzing probabilistic reachability and safety problems for discrete time stochastic hybrid systems within a dynamic games setting. In particular, we consider finite horizon zero-sum stochastic games in which a control has the ...
2013