Hervé Frezza-Buet

According to our database1, Hervé Frezza-Buet authored at least 30 papers between 1999 and 2022.

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

Timeline

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Bibliography

2022
Graph-Induced Geodesics Approximation for Non-Euclidian K-Means.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020
Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrols.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Look and Feel What and How Recurrent Self-Organizing Maps Learn.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

2018
Reconstruction d'état caché avec cartes auto-organisatrices récurrentes.
Proceedings of the Journées Francophone Planification, 2018

2015
YARBUS : Yet Another Rule Based belief Update System.
CoRR, 2015

2014
Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas.
Neural Networks, 2014

Cellular Computing and Least Squares for Partial Differential Problems Parallel Solving.
J. Cell. Autom., 2014

Towards an effective multi-map self organizing recurrent neuronal network.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
A C++ template-based reinforcement learning library: fitting the code to the mathematics.
J. Mach. Learn. Res., 2013

2011
Sample-efficient batch reinforcement learning for dialogue management optimization.
ACM Trans. Speech Lang. Process., 2011

Can self-organisation emerge through dynamic neural fields computation?
Connect. Sci., 2011

Tracking non-stationary dynamical system phase using multi-map and temporal self-organizing architecture.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Dynamic neural field optimization using the unscented Kalman filter.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2010
InterCell: A Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications.
Proceedings of the Applied Parallel and Scientific Computing, 2010

Online speaker diarization with a size-monitored growing neural gas algorithm.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Reconciling neural fields to self-organization.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network.
Neurocomputing, 2008

Are Neural Fields Suitable for Vector Quantization?
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2005
Model of multi-modal cortical processing: Coherent learning in self-organizing modules.
Neural Networks, 2005

Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Making Competition in Neural Fields Suitable for Computational Architectures.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2002
From a biological to a computational model for the autonomous behavior of an animat.
Inf. Sci., 2002

Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach.
Proceedings of the Artificial Neural Networks, 2002

2001
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework fo Sequence Processing.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

1999
Un modèle de cortex pour le comportement motivé d'un agent neuromimétique autonome.
PhD thesis, 1999

Modeling prefrontal functions for robot navigation.
Proceedings of the International Joint Conference Neural Networks, 1999

Specialization with cortical models: An application to causality learning.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999


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