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Journal articles9 documents

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

Conference papers31 documents

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

Book sections5 documents

  • Noémie Gonnier, Yann Boniface, Hervé Frezza-Buet. Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures. Communications in Computer and Information Science, Neural Information Processing, ICONIP 2020, pp.526-534, 2020, ⟨10.1007/978-3-030-63823-8_60⟩. ⟨hal-03030518⟩
  • Jérémy Fix, Hervé Frezza-Buet. Look and Feel What and How Recurrent Self-Organizing Maps Learn. 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⟩. ⟨hal-02120117⟩
  • 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. 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⟩. ⟨inria-00000634⟩
  • Frédéric Alexandre, Hervé Frezza-Buet. From Natural to Artificial Intelligence: Numerical processing for cognitive tasks. Paul Bourgine and Jean-Pierre Nadal. Cognitive Economics, Springer, pp.113-130, 2004. ⟨inria-00099961⟩
  • Hervé Frezza-Buet, Nicolas Rougier, Frédéric Alexandre. Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing. none. Neural, Symbolic and Reinforcement Methods for Sequence Learning, Springer, 28 p, 2000. ⟨inria-00107857⟩

Reports1 document

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

Habilitation à diriger des recherches1 document

  • Hervé Frezza-Buet. Un calcul cortical pour les systèmes situés. Informatique. Université Nancy II, 2011. ⟨tel-00652806⟩