output
20162025
most citedEnergy barriers in three-dimensional micromagnetic models and the physics of thermo-viscous magnetization in multidomain particles

39 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2017Show all

7 papers · 1 filter

math.OC2017★ 2 cited

Solving nonlinear optimal control problems with state and control delays by shooting methods combined with numerical continuation on the delays

Riccardo Bonalli, Bruno Hérissé, Emmanuel Trélat

In this paper we introduce a new procedure to solve nonlinear optimal control problems with delays which exploits indirect methods combined with numerical homotopy procedures. It i…

math.OC2017

Convergence to consensus of the general finite-dimensional Cucker-Smale model with time-varying delays

Cristina Pignotti, Emmanuel Trélat

We consider the celebrated Cucker-Smale model in finite dimension, modelling interacting collective dynamics and their possible evolution to consensus. The objective of this paper…

math.OC2017

Redundancy implies robustness for bang-bang strategies

Antoine Olivier, Thomas Haberkorn, Emmanuel Trélat +2

We develop in this paper a method ensuring robustness properties to bang-bang strategies , for general nonlinear control systems. Our main idea is to add bang arcs in the form of n…

stat.ML2017★ 2 cited

Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data

Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruiz +1

Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning, and some have shortcomings if the time se…

stat.ML2017★ 3 cited

Spectral Clustering using PCKID - A Probabilistic Cluster Kernel for Incomplete Data

Sigurd Løkse, Filippo Maria Bianchi, Arnt-Børre Salberg +1

In this paper, we propose PCKID, a novel, robust, kernel function for spectral clustering, specifically designed to handle incomplete data. By combining posterior distributions of…

stat.ML2017★ 2 cited

Deep Kernelized Autoencoders

Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi +2

In this paper we introduce the deep kernelized autoencoder, a neural network model that allows an explicit approximation of (i) the mapping from an input space to an arbitrary, use…

physics.geo-ph2017★ 39 cited

Energy barriers in three-dimensional micromagnetic models and the physics of thermo-viscous magnetization in multidomain particles

Karl Fabian, Valera P. Shcherbakov

A first principle micromagnetic and statistical calculation of viscous remanent magnetization (VRM) in an ensemble of cubic magnetite pseudo single-domain particles is presented. T…