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hal-01216085v1  Conference papers
Ala AboudibVincent GriponGilles Coppin. A model of bottom-up visual attention using cortical magnification
ICASSP 2015 : the 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia. pp.1493 - 1497
hal-02115988v1  Conference papers
Vincent GriponStephen LarroqueEhsan Sedgh GooyaDominique Pastor. Using Tags to Improve Diversity of Sparse Associative Memories
COGNITIVE 2015: The Seventh International Conference on Advanced Cognitive Technologies and Applications, Mar 2015, Nice, France. pp.1 - 7
hal-00960537v1  Conference papers
Claude BerrouVincent GriponXiaoran JiangBehrooz Kamary Aliabadi. A mental information theory
French-Israeli Inter-Academic Meeting on Mathematics, May 2013, Paris, France
hal-01057344v1  Conference papers
Vincent GriponXiaoran Jiang. Mémoires associatives pour observations floues
GRETSI 2013 : 24ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2013, Brest, France
hal-01057348v1  Conference papers
Vincent GriponMichael Rabbat. Maximum Likelihood Associative Memories
ITW 2013 : IEEE Information Theory Workshop, Sep 2013, Seville, Spain. pp.1 - 5
hal-01057346v1  Conference papers
Vincent GriponVitaly SkachekMichael Rabbat. Sparse Structured Associative Memories As Efficient Set-Membership Data Structures
Allerton 2013 : 51st annual Allerton Conference on Communication, Control, and Computing, Oct 2013, Allerton, United States. pp.500 - 505
hal-01500297v1  Conference papers
Philippe TigréatVincent GriponPierre-Henri Horrein. Improved Willshaw Networks with Local Inhibition
The Eighth International Conference on Advanced Cognitive Technologies and Applications, Mar 2016, Rome, Italy
hal-01308341v1  Journal articles
Xiaoran JiangVincent GriponClaude BerrouMichael Rabbat. Storing sequences in binary tournament-based neural networks
IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2016, 27 (5), pp.913 - 925. ⟨10.1109/TNNLS.2015.2431319⟩
hal-00994216v1  Journal articles
Behrooz Kamary AliabadiClaude BerrouVincent GriponXiaoran Jiang. Storing sparse messages in networks of neural cliques
IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2014, 25 (5), pp.980 - 989. ⟨10.1109/TNNLS.2013.2285253⟩
hal-01511073v1  Conference papers
Nicolas GrelierBastien PasdeloupJean-Charles VialatteVincent Gripon. Neighborhood-Preserving Translations on Graphs
GlobalSIP 2016 : IEEE Global Conference on Signal and Information Processing, Dec 2016, Arlington, United States. pp.410 - 414
hal-01371020v1  Conference papers
Ala AboudibVincent GriponGilles Coppin. A Neural Network Model for Solving the Feature Correspondence Problem
ICANN 2016 : 25th International Conference on Artificial Neural Networks, Sep 2016, Barcelone, Spain. pp.439 - 446, ⟨10.1007/978-3-319-44781-0_52⟩
hal-01374130v1  Conference papers
Eliott CoyacVincent GriponCharlotte LanglaisClaude Berrou. Distributed coding and synaptic pruning
ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.206 - 210
hal-01325893v1  Poster communications
Robin DaniloVincent GriponPhilippe CoussyLaura Conde Canencia. Réseaux de clusters de neurones restreints
GRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5
hal-02487427v1  Conference papers
Myriam BontonouCarlos LassanceGhouthi Boukli HaceneVincent GriponJian Tang et al.  Introducing Graph Smoothness Loss for Training Deep Learning Architectures
2019 IEEE Data Science Workshop (DSW), Jun 2019, Minneapolis, United States. pp.160-164, ⟨10.1109/DSW.2019.8755559⟩
hal-03683702v1  Conference papers
Raphael BaenaLucas DrumetzVincent Gripon. A Local Mixup to Prevent Manifold Intrusion
EUSIPCO 2022, Aug 2022, Belgrade, Serbia
hal-03706472v1  Conference papers
Hugo TessierVincent GriponMathieu LéonardonMatthieu ArzelDavid Bertrand et al.  Investigating the Not-So-Obvious Effects of Structured Pruning
ICML 2022 - Hardware-aware efficient training (HAET), Jul 2022, Baltimore, United States
hal-01380111v1  Conference papers
Ahmad MheichM. HassanVincent GriponM. KhalilC. Berrou et al.  A novel algorithm for measuring graph similarity: application to brain networks
7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Apr 2015, Montpellier, France. pp.1068--1071
hal-01502488v1  Conference papers
Philippe TigréatCarlos Rosar Kos LassanceXiaoran JiangVincent GriponClaude Berrou. Assembly output codes for learning neural networks
ISTC 2016 - 9th International Symposium on Turbo Codes & Iterative Information Processing, Sep 2016, Brest, France. pp.285-289, ⟨10.1109/ISTC.2016.7593122⟩
hal-00856950v1  Conference papers
Hooman JarollahiVincent GriponNaoya OnizawaWarren J. Gross. A Low-Power Content-Adressable-Memory Based on Clustered-Sparse-Networks
ASAP 2013 : 24th IEEE International Conference on Application-specific Systems, Architectures and Processors, Jun 2013, Washington, United States
hal-01374657v1  Journal articles
Vincent GriponJudith HeuselMatthias LöweFranck Vermet. A Comparative Study of Sparse Associative Memories
Journal of Statistical Physics, Springer Verlag, 2016, 164 (1), pp.105 - 129. ⟨10.1007/s10955-016-1530-z⟩
hal-00796055v1  Books
Claude BerrouVincent Gripon. Petite mathématique du cerveau
Odile Jacob, pp.160, 2012, Sciences, 978-2-7381-2838-6
hal-03675135v1  Conference papers
Vincent GriponYuqing HuStéphane Pateux. Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning
ICANN 2021: 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia. pp.487-499, ⟨10.1007/978-3-030-86340-1_39⟩
hal-01522887v1  Conference papers
Tristan StérinNicolas FarrugiaVincent Gripon. An Intrinsic Difference Between Vanilla RNNs and GRU Models
COGNITIVE 2017 : Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.76 - 81
tel-03097485v1  Habilitation à diriger des recherches
Vincent Gripon. Efficient Representations for Graph and Neural Network Signals
Machine Learning [cs.LG]. ENS Lyon, 2020