Hervé Frezza-Buet

Documents

Publications

	Cellular Computing and Least Squares for partial differential problems parallel solving Nicolas Fressengeas , Hervé Frezza-Buet Journal of Cellular Automata, 2014, 9 (1), pp.1-21 Journal articles hal-00107064v8
	Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas Hervé Frezza-Buet Neural Networks, 2014, 60, pp.203-221. ⟨10.1016/j.neunet.2014.08.014⟩ Journal articles hal-01082503v1
	Distributed recurrent self-organization for tracking the state of non-stationary partially observable dynamical systems Bassem Khouzam , Hervé Frezza-Buet Biologically Inspired Cognitive Architectures, 2013, 3, pp.87-104. ⟨10.1016/j.bica.2012.11.001⟩ Journal articles hal-00771662v1
	A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics Hervé Frezza-Buet , Matthieu Geist Journal of Machine Learning Research, 2013, 14 (1), pp.625-628 Journal articles hal-00914768v1
	Sample-Efficient Batch Reinforcement Learning for Dialogue Management Optimization Olivier Pietquin , Matthieu Geist , Senthilkumar Chandramohan , Hervé Frezza-Buet ACM - Transactions on Speech and Language Processing, 2011, 7 (3), pp.art. 7 (1-21). ⟨10.1145/1966407.1966412⟩ Journal articles hal-00617517v1
	Can Self-Organization Emerge through Dynamic Neural Fields Computation? Lucian Alecu , Hervé Frezza-Buet , Frédéric Alexandre Connection Science, 2011, 23 (1), pp.1-31. ⟨10.1080/09540091.2010.526194⟩ Journal articles inria-00537799v1
	Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network Hervé Frezza-Buet Neurocomputing, 2008, 71 (7-9), pp.1191-1202. ⟨10.1016/j.neucom.2007.12.024⟩ Journal articles hal-00282087v1
	Model of multi-modal cortical processing: Coherent learning in self-organizing modules Olivier Ménard , Hervé Frezza-Buet Neural Networks, 2005, 18 (5-6), pp.646--655 Journal articles inria-00000636v1
	From a biological to a computational model for the autonomous behavior of an animat Hervé Frezza-Buet , Frédéric Alexandre Information Sciences, 2002, 144 (1-4), pp.1-43. ⟨10.1016/S0020-0255(02)00195-0⟩ Journal articles inria-00100715v1

	Graph-Induced Geodesics Approximation for Non-Euclidian K-Means Hervé Frezza-Buet ESANN 2022 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2022, Bruges, Belgium Conference papers hal-03823878v1
	Input Prediction Using Consensus Driven SOMs Noémie Gonnier , Yann Boniface , Hervé Frezza-Buet ISCMI 2021:8th Intl. Conference on Soft Computing & Machine Intelligence, Nov 2021, Cairo, Egypt. ⟨10.1109/ISCMI53840.2021.9654851⟩ Conference papers hal-03375134v1
	Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrols Hervé Frezza-Buet European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2020, Bruges, Belgium Conference papers hal-02489649v1
	Towards an effective multi-map self organizing recurrent neural network Denis Baheux , Jérémy Fix , Hervé Frezza-Buet European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium. pp.201-206 Conference papers hal-01104724v1
	Dynamic Neural Field Optimization using the Unscented Kalman Filter Jérémy Fix , Matthieu Geist , Olivier Pietquin , Hervé Frezza-Buet CCMB 2011, Apr 2011, Paris, France. 7 p., ⟨10.1109/CCMB.2011.5952113⟩ Conference papers hal-00618117v1
	Discovering the phase of a dynamical system from a stream of partial observations with a multi-map self-organizing architecture Bassem Khouzam , Hervé Frezza-Buet COGNITIVE 2011, Sep 2011, Rome, Italy. pp.19-24 Conference papers hal-00652308v1
	Tracking non-stationary dynamical system phase using multi-map and temporal self-organizing architecture Khouzam Bassem , Hervé Frezza-Buet NaBIC 2011, Oct 2011, Salamanca, Spain. pp.163-168, ⟨10.1109/NaBIC.2011.6089453⟩ Conference papers hal-00652312v1
	InterCell: a Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications Jens Gustedt , Stéphane Vialle , Hervé Frezza-Buet , d'Havh Boumba Sitou , Nicolas Fressengeas PARA 2010 : State of the Art in Scientific and Parallel Computing, Jun 2010, Reykjavick, Iceland. 4 p Conference papers hal-00491969v1
	InterCell: a Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications Jens Gustedt , Stéphane Vialle , Hervé Frezza-Buet , d'Havh Boumba Sitou , Nicolas Fressengeas PARA 2010 - 10th International Conference on Applied Parallel and Scientific Computing, Jun 2010, Reykjavík, Iceland. pp.282-292, ⟨10.1007/978-3-642-28151-8⟩ Conference papers hal-00645121v1
	Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm Jean-Louis Gutzwiller , Hervé Frezza-Buet , Olivier Pietquin ESANN 2010, Apr 2010, Bruges, Belgium. pp.505-510 Conference papers hal-00552988v1
	Reconciling neural fields to self-organization Lucian Alecu , Hervé Frezza-Buet ESANN 2009, Apr 2009, Bruges, Belgium. pp.571-576 Conference papers hal-00402668v1
	Cellular based simulation of semiconductors thin films d'Havh Boumba Sitou , Sidi Ould Saad Hamady , Nicolas Fressengeas , Hervé Frezza-Buet , Stéphane Vialle Innovations in Thin Film Processing and Characterization - ITFPC 09, Nov 2009, Nancy, France Conference papers hal-00433062v1
	A dynamic neural field mechanism for self-organization Lucian Alecu , Hervé Frezza-Buet Eighteenth Annual Computational Neuroscience Meeting CNS, Jul 2009, Berlin, Germany. pp.273, ⟨10.1186/1471-2202-10-S1-P273⟩ Conference papers hal-00402184v1
	Application-driven parameter tuning methodology for dynamic neural field equations Lucian Alecu , Hervé Frezza-Buet 16th International Conference on Neural Information Processing - ICONIP 2009, Dec 2009, Bangkok, Thailand. pp.135-142, ⟨10.1007/978-3-642-10677-4_15⟩ Conference papers hal-00439332v1
	Are Neural Fields Suitable for Vector Quantization? Lucian Alecu , Hervé Frezza-Buet ICMLA'08, Dec 2008, San Diego, United States. pp.239-244, ⟨10.1109/ICMLA.2008.21⟩ Conference papers hal-00351275v1
	An Empirical Evaluation Framework for Qualifying Dynamic Neural Fields Lucian Alecu , Hervé Frezza-Buet Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France Conference papers hal-00331551v1
	An Interactive Problem Modeller and PDE Solver, Distributed on Large Scale Architectures Nicolas Fressengeas , Hervé Frezza-Buet , Jens Gustedt , Stéphane Vialle Third International Workshop on Distributed Frameworks for Multimedia Applications - DFMA '07, Jun 2007, Paris, France Conference papers inria-00139660v1
	Tracking fast changing non-stationary distributions with a topologically adaptive neural network: Application to video tracking Georges Adrian Drumea , Hervé Frezza-Buet 15th European Symposium on Artificial Neural Networks (ESANN2007), Apr 2007, Bruges, Belgium. pp.43-48 Conference papers hal-00250981v1
	Ressources de contrôle extensives : Un modèle à grain fin d'inspiration corticale Hervé Frezza-Buet Troisième Workshop "Applications Médicales de l'Informatique : Nouvelles Approches" - AMINA'2006, Nov 2006, Monastir, Tunisie Conference papers hal-00250094v1
	Coherent learning in cortical maps: A generic approach Olivier Ménard , Hervé Frezza-Buet IEEE International Joint Conference on Neural Networks - IJCNN'05, Jul 2005, Montréal/Canada Conference papers inria-00000635v1
	Making competition in neural fields suitable for computational architectures Hervé Frezza-Buet , Olivier Ménard 15th International Conference on Artificial Neural Networks - ICANN'05, Sep 2005, Warsaw/Pologne, pp.217--222, ⟨10.1007/11550822_35⟩ Conference papers inria-00000633v1
	Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot Olivier Ménard , Frédéric Alexandre , Hervé Frezza-Buet Neurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p Conference papers inria-00099901v1
	Rewarded multi-modal neuronal self-organization: Example of the arm reaching movement Olivier Ménard , Hervé Frezza-Buet International Conference on Advances in Intelligent Systems - Theory and Applications - AISTA'04, Nov 2004, Luxembourg-Kirchberg, Luxembourg, 6 p Conference papers inria-00099903v1
	Making Cortically-Inspired Sensorimotor Control Realistic for Robotics: Design of an Extended Parallel Cellular Programming Model Olivier Ménard , Stéphane Vialle , Hervé Frezza-Buet International Conference on Advances in Intelligent Systems - Theory and Applications - AISTA 2004, Nov 2004, Luxembourg, 6 p Conference papers inria-00099899v1
	Multi-map self-organization for sensorimotor learning: a cortical approach Olivier Ménard , Hervé Frezza-Buet International Joint Conference on Neural Networks - IJCNN'03, Jul 2003, Portland, Oregon, 6 p Conference papers inria-00099844v1
	Modeling prefrontal functions for robot navigation Hervé Frezza-Buet , Frédéric Alexandre International Joint Conference on Artificial Neural Networks, 1999, none, 6 p Conference papers inria-00098765v1
	Neuronal mechanisms for sequence learning in behavioral modeling Nicolas P. Rougier , Hervé Frezza-Buet , Frédéric Alexandre Sixteenth International Joint Conference on Artificial Intelligence, Workshop : Neural, Symbolic, and Reinforcement Methods for Sequence Learning, 1999, Stockholm, Sweden, 6 p Conference papers inria-00098756v1
	Specialization within cortical models : An application to causality learning Hervé Frezza-Buet , Frédéric Alexandre 7th European Symposium on Artificial Neural Networks - ESANN'99, Apr 1999, Bruges, Belgium, 6 p Conference papers inria-00098766v1
	A model of cortical activation for robot navigation Hervé Frezza-Buet , Frédéric Alexandre International Conference on cognitive and neural systems, 1998, Boston, USA, 3 p Conference papers inria-00098581v1
	Multimodal Sequence Learning with a Cortically-Inspired Model Hervé Frezza-Buet , Frédéric Alexandre 3nd International Conference on Computational Intelligence & Neuroscience - JCIS'98 - Association for Intelligent Machinery, 1998, none, pp.24-27 Conference papers inria-00098710v1
	Selection of action with a cortically-inspired model Hervé Frezza-Buet , Frédéric Alexandre Seventh European Workshop on Learning Robots, 1998, Edimbourgh, pp.13-21 Conference papers inria-00098709v1
	De la nécessité de l'intégration d'un modèle d'hippocampe dans une approche corticale de la sélection de l'action Hervé Frezza-Buet , Nicolas P. Rougier Neurosciences et Sciences pour l'Ingénieur, 1998, Munster, France. 4 p Conference papers inria-00098694v1

	Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures Noémie Gonnier , Yann Boniface , Hervé Frezza-Buet Communications in Computer and Information Science, Neural Information Processing, ICONIP 2020, pp.526-534, 2020, ⟨10.1007/978-3-030-63823-8_60⟩ Book sections hal-03030518v1
	Look and Feel What and How Recurrent Self-Organizing Maps Learn Jérémy Fix , Hervé Frezza-Buet Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, WSOM 19, 976, pp.3-12, 2020, Advances in Intelligent Systems and Computing, 978-3-030-19641-7. ⟨10.1007/978-3-030-19642-4_1⟩ Book sections hal-02120117v1
	Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations Olivier Ménard , Hervé Frezza-Buet , Frédéric Alexandre Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩ Book sections inria-00000634v1
	From Natural to Artificial Intelligence: Numerical processing for cognitive tasks Frédéric Alexandre , Hervé Frezza-Buet Paul Bourgine and Jean-Pierre Nadal. Cognitive Economics, Springer, pp.113-130, 2004 Book sections inria-00099961v1
	Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing Hervé Frezza-Buet , Nicolas P. Rougier , Frédéric Alexandre none. Neural, Symbolic and Reinforcement Methods for Sequence Learning, Springer, 28 p, 2000 Book sections inria-00107857v1

	YARBUS : Yet Another Rule Based belief Update System Jérémy Fix Hervé Frezza-Buet Jérémy Fix , Hervé Frezza-Buet [Research Report] CentraleSupelec. 2015 Reports hal-01180218v1

	Un modèle de cortex pour le comportement motivé d'un agent neuromimétique autonome Hervé Frezza-Buet Autre [cs.OH]. Université Henri Poincaré - Nancy 1, 1999. Français. ⟨NNT : 1999NAN10246⟩ Theses tel-01747287v1

	Un calcul cortical pour les systèmes situés Hervé Frezza-Buet Informatique. Université Nancy II, 2011 Habilitation à diriger des recherches tel-00652806v1

Hervé Frezza-Buet

Publications

Cellular Computing and Least Squares for partial differential problems parallel solving

Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas

Distributed recurrent self-organization for tracking the state of non-stationary partially observable dynamical systems

A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics

Sample-Efficient Batch Reinforcement Learning for Dialogue Management Optimization

Can Self-Organization Emerge through Dynamic Neural Fields Computation?

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

Model of multi-modal cortical processing: Coherent learning in self-organizing modules

From a biological to a computational model for the autonomous behavior of an animat

Graph-Induced Geodesics Approximation for Non-Euclidian K-Means

Input Prediction Using Consensus Driven SOMs

Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrols

Towards an effective multi-map self organizing recurrent neural network

Dynamic Neural Field Optimization using the Unscented Kalman Filter

Discovering the phase of a dynamical system from a stream of partial observations with a multi-map self-organizing architecture

Tracking non-stationary dynamical system phase using multi-map and temporal self-organizing architecture

InterCell: a Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications

InterCell: a Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications

Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm

Reconciling neural fields to self-organization

Cellular based simulation of semiconductors thin films

A dynamic neural field mechanism for self-organization

Application-driven parameter tuning methodology for dynamic neural field equations

Are Neural Fields Suitable for Vector Quantization?

An Empirical Evaluation Framework for Qualifying Dynamic Neural Fields

An Interactive Problem Modeller and PDE Solver, Distributed on Large Scale Architectures

Tracking fast changing non-stationary distributions with a topologically adaptive neural network: Application to video tracking

Ressources de contrôle extensives : Un modèle à grain fin d'inspiration corticale

Coherent learning in cortical maps: A generic approach

Making competition in neural fields suitable for computational architectures

Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot

Rewarded multi-modal neuronal self-organization: Example of the arm reaching movement

Making Cortically-Inspired Sensorimotor Control Realistic for Robotics: Design of an Extended Parallel Cellular Programming Model

Multi-map self-organization for sensorimotor learning: a cortical approach

Modeling prefrontal functions for robot navigation

Neuronal mechanisms for sequence learning in behavioral modeling

Specialization within cortical models : An application to causality learning

A model of cortical activation for robot navigation

Multimodal Sequence Learning with a Cortically-Inspired Model

Selection of action with a cortically-inspired model

De la nécessité de l'intégration d'un modèle d'hippocampe dans une approche corticale de la sélection de l'action

Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures

Look and Feel What and How Recurrent Self-Organizing Maps Learn

Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations

From Natural to Artificial Intelligence: Numerical processing for cognitive tasks

Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing

YARBUS : Yet Another Rule Based belief Update System Jérémy Fix Hervé Frezza-Buet

Un modèle de cortex pour le comportement motivé d'un agent neuromimétique autonome

Un calcul cortical pour les systèmes situés