Frédéric Barbaresco

Orcid: 0000-0003-3664-3609

According to our database1, Frédéric Barbaresco authored at least 58 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem.
Neural Comput. Appl., May, 2023

Tracking mulitple targets with multiple radars using Distributed Auctions.
CoRR, 2023

Sliding Window Neural Generated Tracking Based on Measurement Model.
CoRR, 2023

Analysis of the Performance of Four Filter Types for Drone Tracking.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Symplectic Foliation Structures of Non-Equilibrium Thermodynamics as Dissipation Model: Application to Metriplectic Nonlinear Lindblad Quantum Master Equation.
Entropy, 2022

Collaborative Multi-Radars Tracking by Distributed Auctions.
CoRR, 2022

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
${{\, \mathrm{SU}\, }}(1, 1)$ Equivariant Neural Networks and Application to Robust Toeplitz Hermitian Positive Definite Matrix Classification.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Souriau's Geometric Principles for Quantum Mechanics.
Proceedings of the Geometric Science of Information - 6th International Conference, 2021

Symplectic Foliation Transverse Structure and Libermann Foliation of Heat Theory and Information Geometry.
Proceedings of the Geometric Science of Information - 6th International Conference, 2021

Archetypal Model of Entropy by Poisson Cohomology as Invariant Casimir Function in Coadjoint Representation and Geometric Fourier Heat Equation.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Koszul Information Geometry, Liouville-Mineur Integrable Systems and Moser Isospectral Deformation Method for Hermitian Positive-Definite Matrices.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Gaussian Distributions on the Space of Symmetric Positive Definite Matrices from Souriau's Gibbs State for Siegel Domains by Coadjoint Orbit and Moment Map.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020
Lie Group Cohomology and (Multi)Symplectic Integrators: New Geometric Tools for Lie Group Machine Learning Based on Souriau Geometric Statistical Mechanics.
Entropy, 2020

Lie Group Statistics and Lie Group Machine Learning Based on Souriau Lie Groups Thermodynamics & Koszul-Souriau-Fisher Metric: New Entropy Definition as Generalized Casimir Invariant Function in Coadjoint Representation.
Entropy, 2020

Multi-Radar Tracking Optimization for Collaborative Combat.
CoRR, 2020

The Basic Geometric Structures of Electromagnetic Digital Information: Statistical characterization of the digital measurement of spatio-Doppler and polarimetric fluctuations of the radar electromagnetic wave.
CoRR, 2020

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity.
CoRR, 2020

Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns.
CoRR, 2020

Souriau-Casimir Lie Groups Thermodynamics and Machine Learning.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

Jean-Marie Souriau's Symplectic Model of Statistical Physics: Seminal Papers on Lie Groups Thermodynamics - Quod Erat Demonstrandum.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2019
Joseph Fourier 250th Birthday: Modern Fourier Analysis and Fourier Heat Equation in Information Sciences for the XXIst Century.
Entropy, 2019

Riemannian batch normalization for SPD neural networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Toeplitz Hermitian Positive Definite Matrix Machine Learning Based on Fisher Metric.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Second-Order Networks in PyTorch.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Dilation Operator Approach and Square Root Velocity Transform for Time/Doppler Spectra Characterization on SU(n).
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Lie Group Machine Learning and Gibbs Density on Poincaré Unit Disk from Souriau Lie Groups Thermodynamics and SU(1, 1) Coadjoint Orbits.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Souriau Exponential Map Algorithm for Machine Learning on Matrix Lie Groups.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018
Theoretical Complexity of Grid Cover Problems Used in Radar Applications.
J. Optim. Theory Appl., 2018

Higher Order Geometric Theory of Information and Heat Based on Poly-Symplectic Geometry of Souriau Lie Groups Thermodynamics and Their Contextures: The Bedrock for Lie Group Machine Learning.
Entropy, 2018

A Comparative Study of Large-Scale Variants of CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017
Drone Tracking Using an Innovative UKF.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Optimal Matching Between Curves in a Manifold.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Poly-symplectic Model of Higher Order Souriau Lie Groups Thermodynamics for Small Data Analytics.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Tracking the Frenet-Serret frame associated to a highly maneuvering target in 3D.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Kernel Density Estimation on the Siegel Space with an Application to Radar Processing.
Entropy, 2016

Geometric Theory of Heat from Souriau Lie Groups Thermodynamics and Koszul Hessian Geometry: Applications in Information Geometry for Exponential Families.
Entropy, 2016

Median burg robust spectral estimation for inhomogeneous and stationary segments.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Probability Density Estimation on the Hyperbolic Space Applied to Radar Processing.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Reparameterization Invariant Metric on the Space of Curves.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Symplectic Structure of Information Geometry: Fisher Metric and Euler-Poincaré Equation of Souriau Lie Group Thermodynamics.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Koszul Information Geometry and Souriau Geometric Temperature/Capacity of Lie Group Thermodynamics.
Entropy, 2014

2013
Riemannian Medians and Means With Applications to Radar Signal Processing.
IEEE J. Sel. Top. Signal Process., 2013

Information/Contact Geometries and Koszul Entropy.
Proceedings of the Geometric Science of Information - First International Conference, 2013

2011
Computation of most threatening radar trajectories areas and corridors based on fast-marching & Level Sets.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011

2010
Dear RAIRO-Oper. Res. readers.
RAIRO Oper. Res., 2010

2008
Interactions between Symmetric Cone and Information Geometries: Bruhat-Tits and Siegel Spaces Models for High Resolution Autoregressive Doppler Imagery.
Proceedings of the Emerging Trends in Visual Computing, 2008

2007
Radar resources optimization by adaptive serch domains priority assignment based on most threatening trajectories computation.
Proceedings of the 10th International Conference on Information Fusion, 2007

2006
Alternative Constraint Strategies to the Esmi Algorithm in Radar Systems.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2001
Rain clouds tracking with radar image processing based on morphological skeleton matching.
Proceedings of the 2001 International Conference on Image Processing, 2001

3D echographic data segmentation and carotid artery turbulences mapping by Doppler velocimetry by a common approach based on.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Minimal geodesics bundles by active contours: Radar application for computation of most threathening trajectories areas & corridors.
Proceedings of the 10th European Signal Processing Conference, 2000

1998
Half-quadratic regularization of time-frequency AR analysis for recovery of abrupt spectral discontinuities & their detection by a recursive Siegel metric based on information geometry.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Recursive eigendecomposition via autoregressive analysis and ago-antagonistic regularization.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Motion-based segmentation and tracking of dynamic radar clutters.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Super-resolution spectrum analysis regularization: Burg, Capon & AGO-antagonistic algorithms.
Proceedings of the 8th European Signal Processing Conference, 1996


  Loading...