Herve Frezza-Buet

Publications :

• Communication dans un congrès - 32 documents
• • Hervé Frezza-Buet. Graph-Induced Geodesics Approximation for Non-Euclidian K-Means, 2022-10-05. (https://centralesupelec.hal.science/hal-03823878v1)
  • Noémie Gonnier, Yann Boniface, Hervé Frezza-Buet. Input Prediction Using Consensus Driven SOMs, 2021-11-26. (https://hal.science/hal-03375134v1)
  • Hervé Frezza-Buet. Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrols, 2020-04-22. (https://hal.science/hal-02489649v1)
  • Denis Baheux, Jérémy Fix, Hervé Frezza-Buet. Towards an effective multi-map self organizing recurrent neural network, 2014-04-23. (https://centralesupelec.hal.science/hal-01104724v1)
  • Khouzam Bassem, Hervé Frezza-Buet. Tracking non-stationary dynamical system phase using multi-map and temporal self-organizing architecture, 2011-10-19. (https://centralesupelec.hal.science/hal-00652312v1)
  • Bassem Khouzam, Hervé Frezza-Buet. Discovering the phase of a dynamical system from a stream of partial observations with a multi-map self-organizing architecture, 2011-09-25. (https://centralesupelec.hal.science/hal-00652308v1)
  • Jérémy Fix, Matthieu Geist, Olivier Pietquin, Hervé Frezza-Buet. Dynamic Neural Field Optimization using the Unscented Kalman Filter, 2011-04-11. (https://centralesupelec.hal.science/hal-00618117v1)
  • Jens Gustedt, Stéphane Vialle, Hervé Frezza-Buet, d'Havh Boumba Sitou, Nicolas Fressengeas. InterCell: a Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications, 2010-06-06. (https://centralesupelec.hal.science/hal-00491969v1)
  • Jens Gustedt, Stéphane Vialle, Hervé Frezza-Buet, d'Havh Boumba Sitou, Nicolas Fressengeas, Jérémy Fix. InterCell: a Software Suite for Rapid Prototyping and Parallel Execution of Fine Grained Applications, 2010-06-06. (https://inria.hal.science/hal-00645121v1)
  • Jean-Louis Gutzwiller, Hervé Frezza-Buet, Olivier Pietquin. Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm, 2010-04-28. (https://centralesupelec.hal.science/hal-00552988v1)
  • Lucian Alecu, Hervé Frezza-Buet. Application-driven parameter tuning methodology for dynamic neural field equations, 2009-12-01. (https://centralesupelec.hal.science/hal-00439332v1)
  • d'Havh Boumba Sitou, Sidi Ould Saad Hamady, Nicolas Fressengeas, Hervé Frezza-Buet, Stéphane Vialle, Jens Gustedt, Patrick Mercier. Cellular based simulation of semiconductors thin films, 2009-11-17. (https://hal.science/hal-00433062v1)
  • Lucian Alecu, Hervé Frezza-Buet. A dynamic neural field mechanism for self-organization, 2009-07-18. (https://centralesupelec.hal.science/hal-00402184v1)
  • Lucian Alecu, Hervé Frezza-Buet. Reconciling neural fields to self-organization, 2009-04-22. (https://centralesupelec.hal.science/hal-00402668v1)
  • Lucian Alecu, Hervé Frezza-Buet. Are Neural Fields Suitable for Vector Quantization?, 2008-12. (https://centralesupelec.hal.science/hal-00351275v1)
  • Lucian Alecu, Hervé Frezza-Buet. An Empirical Evaluation Framework for Qualifying Dynamic Neural Fields, 2008-10-08. (https://hal.science/hal-00331551v1)
  • Nicolas Fressengeas, Hervé Frezza-Buet, Jens Gustedt, Stéphane Vialle. An Interactive Problem Modeller and PDE Solver, Distributed on Large Scale Architectures, 2007-06-05. (https://inria.hal.science/inria-00139660v1)
  • Georges Adrian Drumea, Hervé Frezza-Buet. Tracking fast changing non-stationary distributions with a topologically adaptive neural network: Application to video tracking, 2007-04. (https://centralesupelec.hal.science/hal-00250981v1)
  • Hervé Frezza-Buet. Ressources de contrôle extensives : Un modèle à grain fin d'inspiration corticale, 2006-11. (https://centralesupelec.hal.science/hal-00250094v1)
  • Hervé Frezza-Buet, Olivier Ménard. Making competition in neural fields suitable for computational architectures, 2005-09-11. (https://inria.hal.science/inria-00000633v1)
  • Olivier Ménard, Hervé Frezza-Buet. Coherent learning in cortical maps: A generic approach, 2005-07-31. (https://inria.hal.science/inria-00000635v1)
  • Olivier Ménard, Hervé Frezza-Buet. Rewarded multi-modal neuronal self-organization: Example of the arm reaching movement, 2004-11. (https://inria.hal.science/inria-00099903v1)
  • Olivier Ménard, Stéphane Vialle, Hervé Frezza-Buet. Making Cortically-Inspired Sensorimotor Control Realistic for Robotics: Design of an Extended Parallel Cellular Programming Model, 2004-11. (https://inria.hal.science/inria-00099899v1)
  • Olivier Ménard, Frédéric Alexandre, Hervé Frezza-Buet. Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot, 2004-09. (https://inria.hal.science/inria-00099901v1)
  • Olivier Ménard, Hervé Frezza-Buet. Multi-map self-organization for sensorimotor learning: a cortical approach, 2003-07. (https://inria.hal.science/inria-00099844v1)
  • Hervé Frezza-Buet, Frédéric Alexandre. Specialization within cortical models : An application to causality learning, 1999-04. (https://inria.hal.science/inria-00098766v1)
  • Nicolas P. Rougier, Hervé Frezza-Buet, Frédéric Alexandre. Neuronal mechanisms for sequence learning in behavioral modeling, 1999. (https://inria.hal.science/inria-00098756v1)
  • Hervé Frezza-Buet, Frédéric Alexandre. Modeling prefrontal functions for robot navigation, 1999. (https://inria.hal.science/inria-00098765v1)
  • Hervé Frezza-Buet, Frédéric Alexandre. Selection of action with a cortically-inspired model, 1998. (https://inria.hal.science/inria-00098709v1)
  • Hervé Frezza-Buet, Nicolas P. Rougier. De la nécessité de l'intégration d'un modèle d'hippocampe dans une approche corticale de la sélection de l'action, 1998. (https://inria.hal.science/inria-00098694v1)
  • Hervé Frezza-Buet, Frédéric Alexandre. A model of cortical activation for robot navigation, 1998. (https://inria.hal.science/inria-00098581v1)
  • Hervé Frezza-Buet, Frédéric Alexandre. Multimodal Sequence Learning with a Cortically-Inspired Model, 1998. (https://inria.hal.science/inria-00098710v1)
• Chapitre d'ouvrage - 5 documents
• • Noémie Gonnier, Yann Boniface, Hervé Frezza-Buet. Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures, 2020-11-17. (https://centralesupelec.hal.science/hal-03030518v1)
  • Jérémy Fix, Hervé Frezza-Buet. Look and Feel What and How Recurrent Self-Organizing Maps Learn, 2020-04-28. (https://hal.science/hal-02120117v1)
  • Olivier Ménard, Hervé Frezza-Buet, Frédéric Alexandre. Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations, 2005-07-10. (https://inria.hal.science/inria-00000634v1)
  • Frédéric Alexandre, Hervé Frezza-Buet. From Natural to Artificial Intelligence: Numerical processing for cognitive tasks, 2004. (https://inria.hal.science/inria-00099961v1)
  • Hervé Frezza-Buet, Nicolas P. Rougier, Frédéric Alexandre. Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing, 2000. (https://inria.hal.science/inria-00107857v1)
• Rapport - 1 document
• • Jérémy Fix, Hervé Frezza-Buet. YARBUS : Yet Another Rule Based belief Update System Jérémy Fix Hervé Frezza-Buet, 2015. (https://hal.science/hal-01180218v1)
• Article dans une revue - 9 documents
• • Hervé Frezza-Buet. Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas, 2014-12. (https://centralesupelec.hal.science/hal-01082503v1)
  • Nicolas Fressengeas, Hervé Frezza-Buet. Cellular Computing and Least Squares for partial differential problems parallel solving, 2014-04. (https://hal.science/hal-00107064v8)
  • Hervé Frezza-Buet, Matthieu Geist. A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics, 2013-01. (https://centralesupelec.hal.science/hal-00914768v1)
  • Bassem Khouzam, Hervé Frezza-Buet. Distributed recurrent self-organization for tracking the state of non-stationary partially observable dynamical systems, 2013-01. (https://centralesupelec.hal.science/hal-00771662v1)
  • Olivier Pietquin, Matthieu Geist, Senthilkumar Chandramohan, Hervé Frezza-Buet. Sample-Efficient Batch Reinforcement Learning for Dialogue Management Optimization, 2011-05. (https://centralesupelec.hal.science/hal-00617517v1)
  • Lucian Alecu, Hervé Frezza-Buet, Frédéric Alexandre. Can Self-Organization Emerge through Dynamic Neural Fields Computation?, 2011. (https://inria.hal.science/inria-00537799v1)
  • Hervé Frezza-Buet. Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network, 2008-03. (https://centralesupelec.hal.science/hal-00282087v1)
  • Olivier Ménard, Hervé Frezza-Buet. Model of multi-modal cortical processing: Coherent learning in self-organizing modules, 2005. (https://inria.hal.science/inria-00000636v1)
  • Hervé Frezza-Buet, Frédéric Alexandre. From a biological to a computational model for the autonomous behavior of an animat, 2002-07. (https://inria.hal.science/inria-00100715v1)
• HDR - 1 document
• • Hervé Frezza-Buet. Un calcul cortical pour les systèmes situés, 2011-09-16. (https://theses.hal.science/tel-00652806v1)
• Thèse - 1 document
• • Hervé Frezza-Buet. Un modèle de cortex pour le comportement motivé d'un agent neuromimétique autonome, 1999-10-27. (https://hal.univ-lorraine.fr/tel-01747287v1)