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ORCIDHervé Frezza-Buet
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2020 – today
- 2022
[c20]Hervé Frezza-Buet:
Graph-Induced Geodesics Approximation for Non-Euclidian K-Means. ESANN 2022- 2020
- [c19]Hervé Frezza-Buet:
Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrols. ESANN 2020: 357-362 - [c18]Noémie Gonnier, Yann Boniface, Hervé Frezza-Buet:
Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures. ICONIP (5) 2020: 526-534
2010 – 2019
- 2019
- [c17]Jérémy Fix, Hervé Frezza-Buet:
Look and Feel What and How Recurrent Self-Organizing Maps Learn. WSOM+ 2019: 3-12 - 2018
- [c16]Alain Dutech, Jérémy Fix, Hervé Frezza-Buet:
Reconstruction d'état caché avec cartes auto-organisatrices récurrentes. JFPDA 2018 - 2015
- [i2]Jérémy Fix, Hervé Frezza-Buet:
YARBUS : Yet Another Rule Based belief Update System. CoRR abs/1507.06837 (2015) - 2014
- [j8]Nicolas Fressengeas, Hervé Frezza-Buet:
Cellular Computing and Least Squares for Partial Differential Problems Parallel Solving. J. Cell. Autom. 9(1): 1-21 (2014) - [j7]Hervé Frezza-Buet:
Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas. Neural Networks 60: 203-221 (2014) - [c15]Denis Baheux, Hervé Frezza-Buet, Jérémy Fix:
Towards an effective multi-map self organizing recurrent neuronal network. ESANN 2014 - 2013
- [j6]Hervé Frezza-Buet, Matthieu Geist:
A C++ template-based reinforcement learning library: fitting the code to the mathematics. J. Mach. Learn. Res. 14(1): 625-628 (2013) - 2011
- [j5]Lucian Alecu, Hervé Frezza-Buet, Frédéric Alexandre:
Can self-organisation emerge through dynamic neural fields computation? Connect. Sci. 23(1): 1-31 (2011) - [j4]Olivier Pietquin
, Matthieu Geist, Senthilkumar Chandramohan, Hervé Frezza-Buet:
Sample-efficient batch reinforcement learning for dialogue management optimization. ACM Trans. Speech Lang. Process. 7(3): 7:1-7:21 (2011) - [c14]Jérémy Fix, Matthieu Geist, Olivier Pietquin, Hervé Frezza-Buet:
Dynamic neural field optimization using the unscented Kalman filter. CCMB 2011: 74-80 - [c13]Bassem Khouzam, Hervé Frezza-Buet:
Tracking non-stationary dynamical system phase using multi-map and temporal self-organizing architecture. NaBIC 2011: 163-168 - 2010
- [c12]Jean-Louis Gutzwiller, Hervé Frezza-Buet, Olivier Pietquin:
Online speaker diarization with a size-monitored growing neural gas algorithm. ESANN 2010 - [c11]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. PARA (1) 2010: 282-292
2000 – 2009
- 2009
- [c10]Lucian Alecu, Hervé Frezza-Buet:
Reconciling neural fields to self-organization. ESANN 2009 - [c9]Lucian Alecu, Hervé Frezza-Buet:
Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations. ICONIP (1) 2009: 135-142 - 2008
- [j3]Hervé Frezza-Buet:
Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network. Neurocomputing 71(7-9): 1191-1202 (2008) - [c8]Lucian Alecu, Hervé Frezza-Buet:
Are Neural Fields Suitable for Vector Quantization? ICMLA 2008: 239-244 - 2007
- [c7]Georges Adrian Drumea, Hervé Frezza-Buet:
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking. ESANN 2007: 43-48 - 2006
- [i1]Nicolas Fressengeas, Hervé Frezza-Buet:
Cellular Computing and Least Squares for partial differential problems parallel solving. CoRR abs/math-ph/0610037 (2006) - 2005
- [j2]Olivier Ménard, Hervé Frezza-Buet:
Model of multi-modal cortical processing: Coherent learning in self-organizing modules. Neural Networks 18(5-6): 646-655 (2005) - [c6]Hervé Frezza-Buet, Olivier Ménard:
Making Competition in Neural Fields Suitable for Computational Architectures. ICANN (1) 2005: 217-222 - [c5]Olivier Ménard, Frédéric Alexandre, Hervé Frezza-Buet:
Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations. Biomimetic Neural Learning for Intelligent Robots 2005: 144-161 - 2002
- [j1]Hervé Frezza-Buet, Frédéric Alexandre:
From a biological to a computational model for the autonomous behavior of an animat. Inf. Sci. 144(1-4): 1-43 (2002) - [c4]Hervé Frezza-Buet:
Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach. ICANN 2002: 271-276 - 2001
- [c3]Hervé Frezza-Buet, Nicolas P. Rougier, Frédéric Alexandre:
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework fo Sequence Processing. Sequence Learning 2001: 321-348
1990 – 1999
- 1999
- [b1]Hervé Frezza-Buet:
Un modèle de cortex pour le comportement motivé d'un agent neuromimétique autonome. Henri Poincaré University, Nancy, France, 1999 - [c2]Hervé Frezza-Buet, Frédéric Alexandre:
Specialization with cortical models: An application to causality learning. ESANN 1999: 263-268 - [c1]Hervé Frezza-Buet, Frédéric Alexandre:
Modeling prefrontal functions for robot navigation. IJCNN 1999: 252-257
Coauthor Index
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