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Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Apr 2023, Valence, Spain. pp.5899-5917
Communication dans un congrès
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Entropy Based Feature Regularization to Improve Transferability of Deep Learning ModelsICASSP 2023: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10095195⟩
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Active Learning for Efficient Few-Shot ClassificationICASSP 2023: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10095220⟩
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Régularisation entropique des vecteurs de caractéristiques d'un réseau de neurones pour une meilleur transférabilitéGRETSI 2023, Groupe de Recherche et d'Etudes de Traitement du Signal et des Images GRETSI, Aug 2023, Grenoble (FRANCE), France
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Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various DimensionalitiesICASSP 2023: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10097201⟩
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Interpolation spatiale de signaux sur graphes avec une application pour la fusion d'ensembles de données EEG de diverses dimensionsGRETSI'23: XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
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Le manchot, la banane et la bibliothèque. . . (de la désambiguïsation d'une tâche de classification avec un exemple)GRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
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Élagage de réseaux profond de neurones par dégradation sélective des pondérationsGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
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Un Mixup Local pour empêcher les intrusions de variétésGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
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Leveraging Structured Pruning of Convolutional Neural NetworksSiPS 2022: IEEE Workshop on Signal Processing Systems, Nov 2022, Rennes, France. pp.1-6, ⟨10.1109/SiPS55645.2022.9919253⟩
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Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUSYSINT 2022: International Conference on System-Integrated Intelligence, Springer, Sep 2022, Genova, Italy. pp.553-563, ⟨10.1007/978-3-031-16281-7_52⟩
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A Local Mixup to Prevent Manifold IntrusionEUSIPCO 2022: 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. ⟨10.23919/EUSIPCO55093.2022.9909890⟩
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Investigating the Not-So-Obvious Effects of Structured PruningICML 2022 - Hardware-aware efficient training (HAET), Jul 2022, Baltimore, United States
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Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on MicrocontrollersSYSINT 2022: International Conference on System-Integrated Intelligence, Sep 2022, Genova, Italy. pp.543-552, ⟨10.1007/978-3-031-16281-7_51⟩
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Élagage de réseaux de neurones convolutifs sur graphes pour la sélection de fréquences significatives pour le décodage d'IRMfGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
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Classes adversaires dans l'apprentissage avec peu d'exemplesGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
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Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI DecodingEUSIPCO 2022: 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. pp.937-941, ⟨10.23919/EUSIPCO55093.2022.9909966⟩
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Leveraging the Feature Distribution in Transfer-Based Few-Shot LearningICANN 2021: 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia. pp.487-499, ⟨10.1007/978-3-030-86340-1_39⟩
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Graph-based Interpolation of Feature Vectors for Accurate Few-Shot ClassificationICPR 2020: 25th International Conference on Pattern Recognition, Jan 2021, Milan, Italy. pp.8164-8171, ⟨10.1109/ICPR48806.2021.9412076⟩
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Few-Shot Decoding of Brain Activation MapsEUSIPCO 2021: 29th European Signal Processing Conference, Aug 2021, Dublin, Ireland. pp.1326-1330, ⟨10.23919/EUSIPCO54536.2021.9616158⟩
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Towards an Intrinsic Definition of Robustness for a ClassifierICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. pp.4015-4019, ⟨10.1109/ICASSP39728.2021.9414573⟩
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Attention Based Pruning for Shift NetworksICPR 2020: 25th International Conference on Pattern Recognition, Jan 2021, Milan (virtual), Italy. pp.4054-4061, ⟨10.1109/ICPR48806.2021.9412859⟩
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Improving Classification Accuracy With Graph FilteringICIP 2021: IEEE International Conference on Image Processing, Sep 2021, Anchorage, United States. pp.334-338, ⟨10.1109/ICIP42928.2021.9506042⟩
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GPU-based Self-Organizing-Maps for Post-Labeled Few-Shot Unsupervised LearningInternational Conference on Neural Information Processing (ICONIP) 2020, Aug 2020, Bangkok, Thailand. pp.404-416, ⟨10.1007/978-3-030-63833-7_34⟩
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Robustesse structurelle des architectures d'apprentissage profondGRETSI, Aug 2020, Lille, France
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Graph Topology Inference Benchmarks for Machine LearningMLSP 2020 : IEEE 30th International Workshop on Machine Learning for Signal Processing, Sep 2020, Espoo, Brazil. pp.1-6, ⟨10.1109/MLSP49062.2020.9231794⟩
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Un modèle unifié pour la classification de signaux sur graphe avec de l'apprentissage profondGRETSI, Aug 2020, Lille, France
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Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural NetworksNEWCAS 2020 : 18th IEEE International New Circuits and Systems Conference, Jun 2020, Montréal, Canada. pp.206-209, ⟨10.1109/NEWCAS49341.2020.9159769⟩
Communication dans un congrès
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Deep Geometric Knowledge Distillation with GraphsICASSP 2020: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.8484-8488, ⟨10.1109/ICASSP40776.2020.9053986⟩
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Structural Robustness for Deep Learning Architectures2019 IEEE Data Science Workshop (DSW), Jun 2019, Minneapolis, United States. pp.125-129, ⟨10.1109/DSW.2019.8755564⟩
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Efficient Hardware Implementation of Incremental Learning and Inference on ChipNEWCAS 2019 : 17th IEEE International New Circuits and Systems Conference, Jun 2019, Munich, Germany. ⟨10.1109/NEWCAS44328.2019.8961310⟩
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Introducing Graph Smoothness Loss for Training Deep Learning Architectures2019 IEEE Data Science Workshop (DSW), Jun 2019, Minneapolis, United States. pp.160-164, ⟨10.1109/DSW.2019.8755559⟩
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Training Modern Deep Neural Networks for Memory-Fault Robustness2019 IEEE International Symposium on Circuits and Systems (ISCAS), May 2019, Sapporo, Japan. pp.1-5, ⟨10.1109/ISCAS.2019.8702382⟩
Communication dans un congrès
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Robustesse des réseaux de neurones profonds aux défaillances mémoireGRETSI, Aug 2019, Lille, France
Communication dans un congrès
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Comparing linear structure-based and data-driven latent spatial representations for sequence predictionSPIE Optical Engineering + Applications, Aug 2019, San Diego, United States. ⟨10.1117/12.2528450⟩
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Graph-Projected Signal ProcessingGlobalSIP 2018 : IEEE International Conference on Signal and Information Processing, Nov 2018, Anaheim, États-Unis. ⟨10.1109/GlobalSIP.2018.8646674⟩
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Improving Accuracy of Nonparametric Transfer Learning Via Vector SegmentationICASSP 2018 : IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, France. ⟨10.1109/ICASSP.2018.8462273⟩
Communication dans un congrès
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An Inside Look at Deep Neural Networks using Graph Signal Processing2018 Information Theory and Applications Workshop (ITA), Feb 2018, San Diego, CA, United States. pp.1-9, ⟨10.1109/ITA.2018.8503214⟩
Communication dans un congrès
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Matching Convolutional Neural Networks without Priors about DataDSW 2018 : IEEE Data Science Workshop, Jun 2018, Lausanne, France. ⟨10.1109/DSW.2018.8439900⟩
Communication dans un congrès
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An Intrinsic Difference Between Vanilla RNNs and GRU ModelsCOGNITIVE 2017 : Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.76 - 81
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Incremental Learning on ChipGlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montréal, Canada. ⟨10.1109/GlobalSIP.2017.8309068⟩
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Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative MemoriesSIPS 2017 : IEEE International Workshop on Signal Processing Systems, Oct 2017, Lorient, France. pp.1 - 4, ⟨10.1109/SiPS.2017.8109978⟩
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hal-01656152v1
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NoC-MRAM Architecture for Memory-Based Computing: database-search case studyNEWCAS 2017 : 15th IEEE International New Circuits and Systems Conference, Jun 2017, Strasbourg, France. ⟨10.1109/NEWCAS.2017.8010167⟩
Communication dans un congrès
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Finding All Matches in a Database using Binary Neural NetworksCOGNITIVE 2017: The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.59-64
Communication dans un congrès
hal-01522646v1
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Tropical graph signal processing2017 51st Asilomar Conference on Signals, Systems, and Computers, Oct 2017, Pacific Grove, France. ⟨10.1109/ACSSC.2017.8335134⟩
Communication dans un congrès
hal-01875913v1
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Performance of Neural Clique Networks Subject to Synaptic NoiseCOGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.4 - 9
Communication dans un congrès
hal-01522729v1
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Learning local receptive fields and their weight sharing scheme on graphs2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017, Montreal, France. ⟨10.1109/GlobalSIP.2017.8309034⟩
Communication dans un congrès
hal-01773846v1
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Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality ReductionGlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montreal, Canada. pp.618 - 622, ⟨10.1109/GlobalSIP.2017.8309033⟩
Communication dans un congrès
hal-01761345v1
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Translation sur graphe avec préservation du voisinageGRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan Les Pins, France
Communication dans un congrès
hal-01617209v1
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Assembly output codes for learning neural networksISTC 2016 - 9th International Symposium on Turbo Codes & Iterative Information Processing, Sep 2016, Brest, France. pp.285-289, ⟨10.1109/ISTC.2016.7593122⟩
Communication dans un congrès
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A Turbo-Inspired Iterative Approach for Correspondence Problems of Image FeaturesISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.226 - 230, ⟨10.1109/ISTC.2016.7593110⟩
Communication dans un congrès
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A Neural Network Model for Solving the Feature Correspondence ProblemICANN 2016 : 25th International Conference on Artificial Neural Networks, Sep 2016, Barcelone, Spain. pp.439 - 446, ⟨10.1007/978-3-319-44781-0_52⟩
Communication dans un congrès
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Distributed coding and synaptic pruningISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.206 - 210
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hal-01374130v1
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Improved Willshaw Networks with Local InhibitionThe Eighth International Conference on Advanced Cognitive Technologies and Applications, Mar 2016, Rome, Italy
Communication dans un congrès
hal-01500297v1
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Neighborhood-Preserving Translations on GraphsGlobalSIP 2016 : IEEE Global Conference on Signal and Information Processing, Dec 2016, Arlington, United States. pp.410 - 414
Communication dans un congrès
hal-01511073v1
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Characterizing graphs from diffused worshopGSP 2016 : Graph Signal Processing Workshop, May 2016, Philadelphia, United States
Communication dans un congrès
hal-01598379v1
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Nearest Neighbour Search Using Binary Neural NetworksIJCNN 2016 : International Joint Conference on Neural Networks , Jul 2016, Vancouver, Canada. pp.5106 - 5112, ⟨10.1109/IJCNN.2016.7727873⟩
Communication dans un congrès
hal-01611664v1
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Massively parallel implementation of sparse message retrieval algorithms in Clustered Clique NetworksThe 2016 International Conference on High Performance Computing & Simulation (HPCS2016), Jul 2016, Innsbrück, Austria. pp.935 - 939, ⟨10.1109/HPCSim.2016.7568434⟩
Communication dans un congrès
hal-01503968v1
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Towards a characterization of the Uncertainty cuve for graphsICASSP 2016 : 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4558 - 4562, ⟨10.1109/ICASSP.2016.7472540⟩
Communication dans un congrès
hal-01574034v1
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Compression of Deep Neural Networks on the FlyICANN 2016 : 25th International Conference on Artificial Neural Networks, Sep 2016, Barcelone, Spain. pp.153 - 160
Communication dans un congrès
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A novel algorithm for measuring graph similarity: application to brain networks7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Apr 2015, Montpellier, France. pp.1068--1071
Communication dans un congrès
hal-01380111v1
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Algorithm and Implementation of an Associative Memory for Oriented Edge Detection Using Improved Clustered Neural Networks2015 International Symposium on Circuits and Systems (ISCAS 2015), May 2015, Lisbonne, Portugal. pp.2501 - 2504, ⟨10.1109/ISCAS.2015.7169193⟩
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hal-02116052v1
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Using Tags to Improve Diversity of Sparse Associative MemoriesCOGNITIVE 2015: The Seventh International Conference on Advanced Cognitive Technologies and Applications, Mar 2015, Nice, France. pp.1 - 7
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A model of bottom-up visual attention using cortical magnificationICASSP 2015 : the 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia. pp.1493 - 1497
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Neural Associative Memories as Accelerators for Binary Vector SearchCOGNITIVE 2015 : 7th International Conference on Advanced Cognitive Technologies and Applications, Mar 2015, Nice, France. pp.85 - 89
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Automatic face recognition using SIFT and networks of tagged neural cliquesInternational Conference on Advanced Cognitive Technologies and Applications 2015, Mar 2015, Nice, France. pp.57 - 61
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hal-02116078v1
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Graph reconstruction from the observation of diffused signalsAllerton 2015 : 63th Annual Allerton conference on communication, control and Computing, Sep 2015, Allerton, United States. pp.1 - 5
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hal-01310966v1
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Vers une caractérisation de la courbe d'incertitude pour des graphes portant des signauxGRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5
Communication dans un congrès
hal-01270749v1
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Implementing Relational-Algebraic Operators for Improving Cognitive Abilities in Networks of Neural CliquesCOGNITIVE 2015 : the 7th International Conference on Advanced Cognitive Technologies and Applications, Mar 2015, Nice, France. pp.36 - 41
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hal-01216082v1
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SimNet: A new algorithm for measuring brain networks similarityICABME 2015 : 3rd International Conference on Advances in Biomedical Engineering Advances in Biomedical Engineering, Sep 2015, Beyrouth, Lebanon. pp.119 - 122, ⟨10.1109/ICABME.2015.7323266⟩
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hal-01375613v1
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Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks2015 IEEE International Symposium on Circuits and Systems (ISCAS), May 2015, Lisbon, France. pp.2501-2504, ⟨10.1109/ISCAS.2015.7169193⟩
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Restricted Clustered Neural Network for Storing Real Datathe 25th edition, May 2015, Pittsburgh, France. pp.205-210, ⟨10.1145/2742060.2743767⟩
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Toward An Uncertainty Principle For Weighted GraphsEUSIPCO 2015 : 23rd European Signal Processing Conference, Aug 2015, Nice, France. pp.1496 - 1500, ⟨10.1109/EUSIPCO.2015.7362633⟩
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hal-01270655v1
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A model of bottom-up visual attention using cortical magnificationICASSP 2015 : the 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia. pp.1493 - 1497
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hal-01216084v1
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Sparse Binary Matrices as Efficient Associative MemoriesAllerton 2014 : 52nd Annual Conference on Communication, Control, and Computing, Oct 2014, Monticello, United States. pp.499 - 504, ⟨10.1109/ALLERTON.2014.7028496⟩
Communication dans un congrès
hal-01170524v1
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Algorithm and Architecture for a Multiple-Field Context-Driven Search Engine Using Fully-Parallel Clustered Associative MemoriesSiPS 2014 : IEEE International Workshop on Signal Processing Systems, Oct 2014, Belfast, United Kingdom. pp.1 - 6, ⟨10.1109/SiPS.2014.6986075⟩
Communication dans un congrès
hal-01170527v1
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Towards a Spectral Characterization of Signals Supported on Small-World NetworksICASSP 2014 : IEEE International Conferences on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.4793-4797, ⟨10.1109/ICASSP.2014.6854512⟩
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hal-01057352v1
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A GPU-based Associative Memory using Sparse Neural NetworksHPCS 2014 : the international conference on High Performance Computing and Simulation, Jul 2014, Bologna, Italy. pp.688 - 692, ⟨10.1109/HPCSim.2014.6903755⟩
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hal-01174294v1
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Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural CliquesAAAI 2014 : the 28th Conference on Artificial Intelligence, Jul 2014, Québec, Canada. pp.262-268
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hal-01058337v1
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Information, Noise, Coding, Modulation: What about the Brain?ISTC 2014 : 8th International Symposium on Turbo Codes and Iterative Information Processing, Aug 2014, Brême, Germany. pp.167 - 172, ⟨10.1109/ISTC.2014.6955107⟩
Communication dans un congrès
hal-01170344v1
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A study of retrieval algorithms of sparse messages in networks of neural cliquesCOGNITIVE 2014: 6th International Conference on Advanced Cognitive Technologies and Applications, May 2014, Venise, Italy. pp.140-146
Communication dans un congrès
hal-01058303v1
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Cluster-based Associative Memories Built From Unreliable StorageICASSP 2014 : IEEE International Conferences on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.8370-8374, ⟨10.1109/ICASSP.2014.6855234⟩
Communication dans un congrès
hal-01057357v1
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A Low-Power Content-Adressable-Memory Based on Clustered-Sparse-NetworksASAP 2013 : 24th IEEE International Conference on Application-specific Systems, Architectures and Processors, Jun 2013, Washington, United States
Communication dans un congrès
hal-00856950v1
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Mémoires associatives pour observations flouesGRETSI 2013 : 24ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2013, Brest, France
Communication dans un congrès
hal-01057344v1
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Maximum Likelihood Associative MemoriesITW 2013 : IEEE Information Theory Workshop, Sep 2013, Seville, Spain. pp.1 - 5
Communication dans un congrès
hal-01057348v1
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Sparse Structured Associative Memories As Efficient Set-Membership Data StructuresAllerton 2013 : 51st annual Allerton Conference on Communication, Control, and Computing, Oct 2013, Allerton, United States. pp.500 - 505
Communication dans un congrès
hal-01057346v1
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A mental information theoryFrench-Israeli Inter-Academic Meeting on Mathematics, May 2013, Paris, France
Communication dans un congrès
hal-00960537v1
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Reduced-complexity binary-weight-coded associative memoriesICASSP 2013 : the 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada
Communication dans un congrès
hal-00857216v1
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Reconstructing a Graph from Path TracesISIT 2013 : proceedings of the IEEE International Symposium on Information Theory, Jul 2013, Istanbul, Turkey
Communication dans un congrès
hal-00857104v1
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Codes sur graphes et mémoire cérébraleGRETSI 2013 : 24ème colloque du Groupement de Recherche en Traitement du Signal, Sep 2013, Brest, France
Communication dans un congrès
hal-00960535v1
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Nearly-optimal associative memories based on distributed constant weight codesITA 2012 : Information Theory and Applications Workshop, Sep 2012, Lausanne, Switzerland. pp.269 - 273, ⟨10.1109/ITA.2012.6181790⟩
Communication dans un congrès
hal-01056531v1
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Learning long sequences in binary neural networksCognitive 2012 : 4th International Conference on Advanced Cognitive Technologies and Applications, Jul 2012, Nice, France. pp.165 - 170
Communication dans un congrès
hal-01056538v1
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Random clique codesISTC 2012 : 7th International Symposium on Turbo Codes and Iterative Information Processing, Aug 2012, Gothenburg, Suède. pp.121-125, ⟨10.1109/ISTC.2012.6325211⟩
Communication dans un congrès
hal-01056543v1
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Architecture and Implementation of an Associative Memory Using Sparse Clustered NetworksISCAS 2012 : IEEE International Symposium on Circuits and Systems, May 2012, Seoul, South Korea. pp.2901-2904, ⟨10.1109/ISCAS.2012.6271922⟩
Communication dans un congrès
hal-01056534v1
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Compressing multisets using triesITW 2012 : IEEE Information Theory Workshop, Sep 2012, Lausanne, Switzerland. pp.642-646, ⟨10.1109/ITW.2012.6404756⟩
Communication dans un congrès
hal-01056521v1
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A simple and efficient way to store many messages using neural cliquesCCMB 2011: IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, May 2011, Paris, France
Communication dans un congrès
hal-01056522v1
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Coded hopfield networks6th International Symposium on Turbo codes, Sep 2010, Brest, France. pp.1 - 5, ⟨10.1109/ISTC.2010.5613860⟩
Communication dans un congrès
hal-00565939v1
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Qualitative Concurrent Stochastic Games with Imperfect InformationAutomata, Languages and Programming, 36th International Colloquium, ICALP 2009, Jul 2009, Rhodes, Greece. pp.200-211
Communication dans un congrès
hal-00360857v3
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Réseaux de clusters de neurones restreintsGRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5
Poster de conférence
hal-01325893v1
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Algorithm and Implementation of an Associative Memory for Oriented Edge Detection Using Improved Clustered Neural NetworksInternational Workshop on Neuromorphic and Brain-Based Computing Systems (Neucomp), Mar 2015, Grenoble, France
Poster de conférence
hal-02511239v1
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Impact du bruit synaptique sur les performances des réseaux de cliques neuralesGRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5
Poster de conférence
hal-01311977v1
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Petite mathématique du cerveauOdile Jacob, pp.160, 2012, Sciences, 978-2-7381-2838-6
Ouvrages
hal-00796055v1
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Graphs as Tools to Improve Deep Learning MethodsAdvances in Artificial Intelligence: Reviews, 2, International Frequency Sensor Association (IFSA) Publishing, inPress
Chapitre d'ouvrage
hal-03377563v1
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Transfer Learning with Sparse Associative MemoriesTheoretical Neural Computation, pp.497-512, 2019, ⟨10.1007/978-3-030-30487-4_39⟩
Chapitre d'ouvrage
hal-02487451v1
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Uncertainty principle on graphsVertex-Frequency Analysis of Graph Signals, pp.317-340, 2019, Signals and Communication Technology book series (SCT), ⟨10.1007/978-3-030-03574-7_9⟩
Chapitre d'ouvrage
hal-01944835v1
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Compression par régularisation sélective de réseaux de neurones pour la conduite autonomeFrance, N° de brevet: FR3113272. 2022
Brevet
hal-04132455v1
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Compression automatisée de réseaux de neurones pour la conduite autonomeFrance, Patent n° : FR3113273. 2022
Brevet
hal-04132458v1
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Compression par régularisation sélective de réseaux de neurones pour la conduite autonomeFrance, N° de brevet: FR3114420. 2022
Brevet
hal-04132452v1
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Games with imperfect information.2008
Autre publication scientifique
hal-00347838v1
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A Unified Deep Learning Formalism For Processing Graph Signals2020
Pré-publication, Document de travail
hal-02487422v1
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BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization2020
Pré-publication, Document de travail
hal-02487489v1
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Attention Based Pruning for Shift Networks2019
Pré-publication, Document de travail
hal-02051580v2
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Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks2018
Pré-publication, Document de travail
hal-01965304v1
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Tropical Graph Signal Processing2017
Pré-publication, Document de travail
hal-01527695v2
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Networks of Neural CliquesNeural and Evolutionary Computing [cs.NE]. Télécom Bretagne, 2011. English. ⟨NNT : ⟩
Thèse
tel-00743809v1
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Efficient Representations for Graph and Neural Network SignalsMachine Learning [cs.LG]. ENS Lyon, 2020
HDR
tel-03097485v1
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