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Co-authors

Number of documents

117

Vincent Gripon


Journal articles24 documents

  • Carlos Lassance, Vincent Gripon, Antonio Ortega. Representing Deep Neural Networks Latent Space Geometries with Graphs. Algorithms, MDPI, 2021, 14 (2), pp.39. ⟨10.3390/a14020039⟩. ⟨hal-03238776⟩
  • Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid. Improved Visual Localization via Graph Smoothing. Journal of Imaging, MDPI, 2021, 7 (20), ⟨10.3390/jimaging7020020⟩. ⟨hal-02487479⟩
  • Carlos Lassance, Vincent Gripon, Antonio Ortega. Laplacian networks: bounding indicator function smoothness for neural networks robustness. APSIPA Transactions on Signal and Information Processing, Cambridge University Press, 2021, 10, pp.e2. ⟨10.1017/ATSIP.2021.2⟩. ⟨hal-03134179⟩
  • Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon. ThriftyNets: Convolutional Neural Networks with Tiny Parameter Budget. IoT, MDPI, 2021, 2 (2), pp.222-235. ⟨10.3390/iot2020012⟩. ⟨hal-03238788⟩
  • Vincent Gripon, Matthias Löwe, Franck Vermet. Some Remarks on Replicated Simulated Annealing. Journal of Statistical Physics, Springer Verlag, 2021, 182 (3), ⟨10.1007/s10955-021-02727-z⟩. ⟨hal-03238781⟩
  • Giulia Lioi, Vincent Gripon, Abdelbasset Brahim, François Rousseau, Nicolas Farrugia. Gradients of connectivity as graph Fourier bases of brain activity. Network Neuroscience, MIT Press, 2021, 5 (2), pp.322-336. ⟨10.1162/netn_a_00183⟩. ⟨hal-03238786⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. Journal of Signal Processing Systems, Springer, 2019, 91 (9), pp.1063-1073. ⟨10.1007/s11265-019-01450-z⟩. ⟨hal-02273161⟩
  • Vincent Gripon, Bastien Pasdeloup, Grégoire Mercier, Dominique Pastor, Michael Rabbat. Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. IEEE transactions on Signal and Information Processing over Networks, IEEE, 2018, 4 (3), pp.481 - 496. ⟨10.1109/TSIPN.2017.2742940⟩. ⟨hal-01875916⟩
  • Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil, Vincent Gripon, Olivier Dufor, et al.. SimiNet: a Novel Method for Quantifying Brain Network Similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2018, 40 (9), pp.2238-2249. ⟨10.1109/TPAMI.2017.2750160⟩. ⟨hal-01591250⟩
  • Vincent Gripon, Matthias Löwe, Franck Vermet. Associative Memories to Accelerate Approximate Nearest Neighbor Search. Applied Sciences, MDPI, 2018, 8 (9), ⟨10.3390/app8091676⟩. ⟨hal-01875907⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Transfer Incremental Learning Using Data Augmentation. Applied Sciences, MDPI, 2018, 8 (12), pp.2512. ⟨10.3390/app8122512⟩. ⟨hal-01950211⟩
  • Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael Rabbat. Characterization and Inference of Graph Diffusion Processes from Observations of Stationnary Signals. IEEE transactions on Signal and Information Processing over Networks, IEEE, 2017, PP (99), ⟨10.1109/TSIPB.2017.2742940⟩. ⟨hal-01759090⟩
  • Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael Rabbat, Hervé Jégou. Memory vectors for similarity search in high-dimensional spaces. IEEE transactions on big data, IEEE, 2017, 4 (1), pp.65 - 77. ⟨10.1109/TBDATA.2017.2677964⟩. ⟨hal-01481220⟩
  • Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann. Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques. Applications in Power Management in Electronic Circuits. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2016, 27 (2), pp.375 - 387. ⟨10.1109/TNNLS.2015.2480545⟩. ⟨hal-01271611⟩
  • Vincent Gripon, Judith Heusel, Matthias Löwe, Franck 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-01374657⟩
  • François Leduc-Primeau, Vincent Gripon, Michael Rabbat, Warren J. Gross. Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, 64 (4), pp.829 - 841. ⟨10.1109/TSP.2015.2489600⟩. ⟨hal-01314706⟩
  • Philippe Tigréat, Vincent Gripon, Pierre-Henri Horrein. Constraining the Connectivity of Sparse Neural Associative Memories. International Journal On Advances in Life Sciences, IARIA, 2016, 8 (3), pp.203-213. ⟨hal-01499953⟩
  • Ala Aboudib, Vincent Gripon, Gilles Coppin. A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention. Cognitive Computation, Springer, 2016, 8 (6), pp.1007 - 1026. ⟨10.1007/s12559-016-9430-8⟩. ⟨hal-01511159⟩
  • Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael 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-01308341⟩
  • Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren Gross. Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse-Clustered Networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE, 2015, 23 (4), pp.642 - 653. ⟨10.1109/TVLSI.2014.2316733⟩. ⟨hal-01170233⟩
  • Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren Gross. Algorithm and Architecture of Fully-Parallel Associative Memories Based on Sparse Clustered Networks. Journal of Signal Processing Systems, Springer, 2014, 76 (3), pp.235-247. ⟨hal-01057361⟩
  • Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Noboru Sakimura, Tadahiko Sugibayashi, et al.. A Non-Volatile Associative Memory-Based Context-Driven Search Engine Using 90 nm CMOS/MTJ-Hybrid Logic-in-Memory Architecture. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE, 2014, 4 (4), pp.460 - 474. ⟨10.1109/JETCAS.2014.2361061⟩. ⟨hal-01172742⟩
  • Behrooz Kamary Aliabadi, Claude Berrou, Vincent Gripon, Xiaoran 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-00994216⟩
  • Vincent Gripon, Claude Berrou. Sparse neural networks with large learning diversity. IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2011, 22 (7), pp.1087 - 1096. ⟨10.1109/TNN.2011.2146789⟩. ⟨hal-00609246⟩

Conference papers78 documents

  • Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio. Attention Based Pruning for Shift Networks. ICPR 2020: 25th International Conference on Pattern Recognition, Jan 2021, Milan (virtual), Italy. pp.4054-4061, ⟨10.1109/ICPR48806.2021.9412859⟩. ⟨hal-03238771⟩
  • Theo Giraudon, Vincent Gripon, Matthias Lowe, Franck Vermet. Towards an Intrinsic Definition of Robustness for a Classifier. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. pp.4015-4019, ⟨10.1109/ICASSP39728.2021.9414573⟩. ⟨hal-03238789⟩
  • Yuqing Hu, Vincent Gripon, Stephane Pateux. Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification. ICPR 2020: 25th International Conference on Pattern Recognition, Jan 2021, Milan, Italy. pp.8164-8171, ⟨10.1109/ICPR48806.2021.9412076⟩. ⟨hal-03238774⟩
  • Lyes Khacef, Vincent Gripon, Benoit Miramond. GPU-based Self-Organizing-Maps for Post-Labeled Few-Shot Unsupervised Learning. International Conference on Neural Information Processing (ICONIP) 2020, Aug 2020, Bangkok, Thailand. pp.404-416, ⟨10.1007/978-3-030-63833-7_34⟩. ⟨hal-02934233⟩
  • Carlos Lassance, Vincent Gripon, Gonzalo Mateos. Graph Topology Inference Benchmarks for Machine Learning. MLSP 2020 : IEEE 30th International Workshop on Machine Learning for Signal Processing, Sep 2020, Espoo, Brazil. pp.1-6, ⟨10.1109/MLSP49062.2020.9231794⟩. ⟨hal-03238747⟩
  • Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, et al.. Deep Geometric Knowledge Distillation with Graphs. ICASSP 2020: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.8484-8488, ⟨10.1109/ICASSP40776.2020.9053986⟩. ⟨hal-02871309⟩
  • Carlos Lassance, Vincent Gripon, Jian Tang, Antonio Ortega. Robustesse structurelle des architectures d'apprentissage profond. GRETSI, Aug 2020, Lille, France. ⟨hal-02871252⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio. Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS 2020 : 18th IEEE International New Circuits and Systems Conference, Jun 2020, Montréal, Canada. pp.206-209, ⟨10.1109/NEWCAS49341.2020.9159769⟩. ⟨hal-02934543⟩
  • Myriam Bontonou, Carlos Lassance, Jean-Charles Vialatte, Vincent Gripon. Un modèle unifié pour la classification de signaux sur graphe avec de l'apprentissage profond. GRETSI, Aug 2020, Lille, France. ⟨hal-02871259⟩
  • Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon. Training Modern Deep Neural Networks for Memory-Fault Robustness. 2019 IEEE International Symposium on Circuits and Systems (ISCAS), May 2019, Sapporo, Japan. pp.1-5, ⟨10.1109/ISCAS.2019.8702382⟩. ⟨hal-02487434⟩
  • Carlos Lassance, Vincent Gripon, Jian Tang, Antonio Ortega. Structural Robustness for Deep Learning Architectures. 2019 IEEE Data Science Workshop (DSW), Jun 2019, Minneapolis, United States. pp.125-129, ⟨10.1109/DSW.2019.8755564⟩. ⟨hal-02487448⟩
  • Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Soussia, Vincent Gripon, François Gagnon. Robustesse des réseaux de neurones profonds aux défaillances mémoire. GRETSI, Aug 2019, Lille, France. ⟨hal-02871265⟩
  • Myriam Bontonou, Carlos Lassance, Vincent Gripon, Nicolas Farrugia. Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. SPIE Optical Engineering + Applications, Aug 2019, San Diego, United States. ⟨10.1117/12.2528450⟩. ⟨hal-02189734⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS 2019 : 17th IEEE International New Circuits and Systems Conference, Jun 2019, Munich, Germany. ⟨10.1109/NEWCAS44328.2019.8961310⟩. ⟨hal-02487476⟩
  • Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian 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-02487427⟩
  • Vincent Gripon, Antonio Ortega, Benjamin Girault. An Inside Look at Deep Neural Networks using Graph Signal Processing. 2018 Information Theory and Applications Workshop (ITA), Feb 2018, San Diego, CA, United States. pp.1-9, ⟨10.1109/ITA.2018.8503214⟩. ⟨hal-01959770⟩
  • Vincent Gripon, Carlos Eduardo Rosar Kos Lassance, Jean-Charles Vialatte. Matching Convolutional Neural Networks without Priors about Data. DSW 2018 : IEEE Data Science Workshop, Jun 2018, Lausanne, France. ⟨10.1109/DSW.2018.8439900⟩. ⟨hal-01875919⟩
  • Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon. Graph-Projected Signal Processing. GlobalSIP 2018 : IEEE International Conference on Signal and Information Processing, Nov 2018, Anaheim, États-Unis. ⟨10.1109/GlobalSIP.2018.8646674⟩. ⟨hal-02280720⟩
  • Vincent Gripon, Ghouthi Hacene, Matthias Lowe, Franck Vermet. Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation. ICASSP 2018 : IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, France. ⟨10.1109/ICASSP.2018.8462273⟩. ⟨hal-01919815⟩
  • Mostafa Rizk, Jean-Philippe Diguet, Naoya Onizawa, Amer Baghdadi, Martha Johanna Sepulveda Florez, et al.. NoC-MRAM Architecture for Memory-Based Computing: database-search case study. NEWCAS 2017 : 15th IEEE International New Circuits and Systems Conference, Jun 2017, Strasbourg, France. ⟨10.1109/NEWCAS.2017.8010167⟩. ⟨hal-01528137⟩
  • Tristan Stérin, Nicolas Farrugia, Vincent 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. ⟨hal-01522887⟩
  • Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon. Translation sur graphe avec préservation du voisinage. GRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan Les Pins, France. ⟨hal-01617209⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Finding All Matches in a Database using Binary Neural Networks. COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.59 - 64. ⟨hal-01522646⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. SIPS 2017 : IEEE International Workshop on Signal Processing Systems, Oct 2017, Lorient, France. pp.1 - 4, ⟨10.1109/SiPS.2017.8109978⟩. ⟨hal-01656152⟩
  • Mathilde Menoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon. Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. GlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montreal, Canada. pp.618 - 622, ⟨10.1109/GlobalSIP.2017.8309033⟩. ⟨hal-01761345⟩
  • Vincent Gripon. Tropical graph signal processing. 2017 51st Asilomar Conference on Signals, Systems, and Computers, Oct 2017, Pacific Grove, France. ⟨10.1109/ACSSC.2017.8335134⟩. ⟨hal-01875913⟩
  • Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin. Learning local receptive fields and their weight sharing scheme on graphs. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017, Montreal, France. ⟨10.1109/GlobalSIP.2017.8309034⟩. ⟨hal-01773846⟩
  • Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou. Performance of Neural Clique Networks Subject to Synaptic Noise. COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.4 - 9. ⟨hal-01522729⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Incremental Learning on Chip. GlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montréal, Canada. ⟨10.1109/GlobalSIP.2017.8309068⟩. ⟨hal-01754847⟩
  • Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent 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-01511073⟩
  • Philippe Tigréat, Carlos Rosar Kos Lassance, Xiaoran Jiang, Vincent Gripon, Claude 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-01502488⟩
  • Demetrio Ferro, Vincent Gripon, Xiaoran Jiang. Nearest Neighbour Search Using Binary Neural Networks. IJCNN 2016 : International Joint Conference on Neural Networks , Jul 2016, Vancouver, Canada. pp.5106 - 5112, ⟨10.1109/IJCNN.2016.7727873⟩. ⟨hal-01611664⟩
  • Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude 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-01374130⟩
  • Philippe Tigréat, Pierre-Henri Horrein, Vincent Gripon. Massively parallel implementation of sparse message retrieval algorithms in Clustered Clique Networks. The 2016 International Conference on High Performance Computing & Simulation (HPCS2016), Jul 2016, Innsbrück, Austria. pp.935 - 939, ⟨10.1109/HPCSim.2016.7568434⟩. ⟨hal-01503968⟩
  • Bastien Pasdeloup, Vincent Gripon, Dominique Pastor, Grégoire Mercier, Michael Rabbat. Characterizing graphs from diffused worshop. GSP 2016 : Graph Signal Processing Workshop, May 2016, Philadelphia, United States. ⟨hal-01598379⟩
  • Ala Aboudib, Vincent Gripon, Gilles Coppin. A Turbo-Inspired Iterative Approach for Correspondence Problems of Image Features. ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.226 - 230, ⟨10.1109/ISTC.2016.7593110⟩. ⟨hal-01374636⟩
  • Philippe Tigréat, Vincent Gripon, Pierre-Henri Horrein. Improved Willshaw Networks with Local Inhibition. The Eighth International Conference on Advanced Cognitive Technologies and Applications, Mar 2016, Rome, Italy. ⟨hal-01500297⟩
  • Ala Aboudib, Vincent Gripon, Gilles 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-01371020⟩
  • Guillaume Soulie, Vincent Gripon, Maëlys Robert. Compression of Deep Neural Networks on the Fly. ICANN 2016 : 25th International Conference on Artificial Neural Networks, Sep 2016, Barcelone, Spain. pp.153 - 160. ⟨hal-01371021⟩
  • Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor. Towards a characterization of the Uncertainty cuve for graphs. ICASSP 2016 : 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4558 - 4562, ⟨10.1109/ICASSP.2016.7472540⟩. ⟨hal-01574034⟩
  • Ahmad Mheich, M. Hassan, Vincent Gripon, M. Khalil, C. 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-01380111⟩
  • Vincent Gripon, Ehsan Sedgh Gooya, Dominique Pastor. Automatic face recognition using SIFT and networks of tagged neural cliques. International Conference on Advanced Cognitive Technologies and Applications 2015, Mar 2015, Nice, France. pp.57 - 61. ⟨hal-02116078⟩
  • Robin Danilo, Hooman Jarollahi, Vincent Gripon, Philippe Coussy. Algorithm and Implementation of an Associative Memory for Oriented Edge Detection Using Improved Clustered Neural Networks. International Symposium on Circuits and Systems 2015, May 2015, Lisbon, Portugal. pp.2501 - 2504. ⟨hal-02116052⟩
  • Robin Danilo, Hooman Jarollahi, Vincent Gripon, Philippe Coussy, Laura Conde-Canencia, et al.. Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), May 2015, Lisbon, France. pp.2501-2504, ⟨10.1109/ISCAS.2015.7169193⟩. ⟨hal-02511117⟩
  • Bastien Pasdeloup, Michael Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier. Graph reconstruction from the observation of diffused signals. Allerton 2015 : 63th Annual Allerton conference on communication, control and Computing, Sep 2015, Allerton, United States. pp.1 - 5. ⟨hal-01310966⟩
  • Ala Aboudib, Vincent Gripon, Gilles 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-01216085⟩
  • Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael Rabbat. Toward An Uncertainty Principle For Weighted Graphs. EUSIPCO 2015 : 23rd European Signal Processing Conference, Aug 2015, Nice, France. pp.1496 - 1500, ⟨10.1109/EUSIPCO.2015.7362633⟩. ⟨hal-01270655⟩
  • Ala Aboudib, Vincent Gripon, Gilles 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-01216084⟩
  • Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor. Vers une caractérisation de la courbe d'incertitude pour des graphes portant des signaux. GRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5. ⟨hal-01270749⟩
  • Ala Aboudib, Vincent Gripon, Baptiste Tessiau. Implementing Relational-Algebraic Operators for Improving Cognitive Abilities in Networks of Neural Cliques. COGNITIVE 2015 : the 7th International Conference on Advanced Cognitive Technologies and Applications, Mar 2015, Nice, France. pp.36 - 41. ⟨hal-01216082⟩
  • Ahmad Mheich, Mahmoud Hassan, Fabrice Wendling, Mohamad Khalil, Olivier Dufor, et al.. SimNet: A new algorithm for measuring brain networks similarity. ICABME 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⟩. ⟨hal-01375613⟩
  • Chendi Yu, Vincent Gripon, Xiaoran Jiang, Hervé Jégou. Neural Associative Memories as Accelerators for Binary Vector Search. COGNITIVE 2015 : 7th International Conference on Advanced Cognitive Technologies and Applications, Mar 2015, Nice, France. pp.85 - 89. ⟨hal-01311588⟩
  • Vincent Gripon, Stephen Larroque, Ehsan Sedgh Gooya, Dominique 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-02115988⟩
  • Robin Danilo, Philippe Coussy, Laura Conde-Canencia, Vincent Gripon, Warren Gross. Restricted Clustered Neural Network for Storing Real Data. the 25th edition, May 2015, Pittsburgh, France. pp.205-210, ⟨10.1145/2742060.2743767⟩. ⟨hal-02511104⟩
  • Ala Aboudib, Vincent Gripon, Xiaoran Jiang. A study of retrieval algorithms of sparse messages in networks of neural cliques. COGNITIVE 2014 : the 6th International Conference on Advanced Cognitive Technologies and Applications, May 2014, Venise, Italy. pp.140-146. ⟨hal-01058303⟩
  • Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann. Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural Cliques. AAAI 2014 : the 28th Conference on Artificial Intelligence, Jul 2014, Québec, Canada. pp.262-268. ⟨hal-01058337⟩
  • Claude Berrou, Olivier Dufor, Vincent Gripon, Xiaoran Jiang. 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⟩. ⟨hal-01170344⟩
  • Zhe Yao, Vincent Gripon. A GPU-based Associative Memory using Sparse Neural Networks. HPCS 2014 : the international conference on High Performance Computing and Simulation, Jul 2014, Bologna, Italy. pp.688 - 692, ⟨10.1109/HPCSim.2014.6903755⟩. ⟨hal-01174294⟩
  • Vincent Gripon, Vitaly Skachek, Michael Rabbat. Sparse Binary Matrices as Efficient Associative Memories. Allerton 2014 : 52nd Annual Conference on Communication, Control, and Computing, Oct 2014, Monticello, United States. pp.499 - 504, ⟨10.1109/ALLERTON.2014.7028496⟩. ⟨hal-01170524⟩
  • Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu, Warren Gross. Algorithm and Architecture for a Multiple-Field Context-Driven Search Engine Using Fully-Parallel Clustered Associative Memories. SiPS 2014 : IEEE International Workshop on Signal Processing Systems, Oct 2014, Belfast, United Kingdom. pp.1 - 6, ⟨10.1109/SiPS.2014.6986075⟩. ⟨hal-01170527⟩
  • François Leduc-Primeau, Vincent Gripon, Michael Rabbat, Warren Gross. Cluster-based Associative Memories Built From Unreliable Storage. ICASSP 2014 : IEEE International Conferences on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.8370-8374, ⟨10.1109/ICASSP.2014.6855234⟩. ⟨hal-01057357⟩
  • Michael Rabbat, Vincent Gripon. Towards a Spectral Characterization of Signals Supported on Small-World Networks. ICASSP 2014 : IEEE International Conferences on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.4793-4797, ⟨10.1109/ICASSP.2014.6854512⟩. ⟨hal-01057352⟩
  • Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross. Reduced-complexity binary-weight-coded associative memories. ICASSP 2013 : the 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. ⟨hal-00857216⟩
  • Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren 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-00856950⟩
  • Vincent Gripon, Michael Rabbat. Reconstructing a Graph from Path Traces. ISIT 2013 : proceedings of the IEEE International Symposium on Information Theory, Jul 2013, Istanbul, Turkey. ⟨hal-00857104⟩
  • Vincent Gripon, Xiaoran 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-01057344⟩
  • Vincent Gripon, Vitaly Skachek, Michael 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-01057346⟩
  • Vincent Gripon, Michael Rabbat. Maximum Likelihood Associative Memories. ITW 2013 : IEEE Information Theory Workshop, Sep 2013, Seville, Spain. pp.1 - 5. ⟨hal-01057348⟩
  • Claude Berrou, Vincent Gripon, Xiaoran Jiang, Behrooz Kamary Aliabadi. A mental information theory. French-Israeli Inter-Academic Meeting on Mathematics, May 2013, Paris, France. ⟨hal-00960537⟩
  • Claude Berrou, Vincent Gripon, Olivier Dufor, Xiaoran Jiang, Behrooz Kamary Aliabadi. Codes sur graphes et mémoire cérébrale. GRETSI 2013 : 24ème colloque du Groupement de Recherche en Traitement du Signal, Sep 2013, Brest, France. ⟨hal-00960535⟩
  • Vincent Gripon, Claude Berrou. Nearly-optimal associative memories based on distributed constant weight codes. ITA 2012 : Information Theory and Applications Workshop, Sep 2012, Lausanne, Switzerland. pp.269 - 273, ⟨10.1109/ITA.2012.6181790⟩. ⟨hal-01056531⟩
  • Xiaoran Jiang, Vincent Gripon, Claude Berrou. Learning long sequences in binary neural networks. Cognitive 2012 : 4th International Conference on Advanced Cognitive Technologies and Applications, Jul 2012, Nice, France. pp.165 - 170. ⟨hal-01056538⟩
  • Vincent Gripon, Michael Rabbat, Vitaly Skachek, Warren J. Gross. Compressing multisets using tries. ITW 2012 : IEEE Information Theory Workshop, Sep 2012, Lausanne, Switzerland. pp.642-646, ⟨10.1109/ITW.2012.6404756⟩. ⟨hal-01056521⟩
  • Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross. Architecture and Implementation of an Associative Memory Using Sparse Clustered Networks. ISCAS 2012 : IEEE International Symposium on Circuits and Systems, May 2012, Seoul, South Korea. pp.2901-2904, ⟨10.1109/ISCAS.2012.6271922⟩. ⟨hal-01056534⟩
  • Vincent Gripon, Vitaly Skachek, Warren J. Gross, Michael Rabbat. Random clique codes. ISTC 2012 : 7th International Symposium on Turbo Codes and Iterative Information Processing, Aug 2012, Gothenburg, Suède. pp.121-125, ⟨10.1109/ISTC.2012.6325211⟩. ⟨hal-01056543⟩
  • Vincent Gripon, Claude Berrou. A simple and efficient way to store many messages using neural cliques. CCMB 2011: IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, May 2011, Paris, France. ⟨hal-01056522⟩
  • Claude Berrou, Vincent Gripon. Coded hopfield networks. 6th International Symposium on Turbo codes, Sep 2010, Brest, France. pp.1 - 5, ⟨10.1109/ISTC.2010.5613860⟩. ⟨hal-00565939⟩
  • Vincent Gripon, Olivier Serre. Qualitative Concurrent Stochastic Games with Imperfect Information. Automata, Languages and Programming, 36th International Colloquium, ICALP 2009, Jul 2009, Rhodes, Greece. pp.200-211. ⟨hal-00360857v3⟩

Poster communications3 documents

  • Eliott Coyac, Vincent Gripon, Charlotte Langlais. Impact du bruit synaptique sur les performances des réseaux de cliques neurales. GRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France. pp.1 - 5. ⟨hal-01311977⟩
  • Robin Danilo, Vincent Gripon, Philippe Coussy, Laura 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-01325893⟩
  • Robin Danilo, Hooman Jarollahi, Philippe Coussy, Vincent Gripon, Laura Conde Canencia. Algorithm and Implementation of an Associative Memory for Oriented Edge Detection Using Improved Clustered Neural Networks. International Workshop on Neuromorphic and Brain-Based Computing Systems (Neucomp), Mar 2015, Grenoble, France. ⟨hal-02511239⟩

Books1 document

  • Claude Berrou, Vincent Gripon. Petite mathématique du cerveau. Odile Jacob, pp.160, 2012, Sciences, 978-2-7381-2838-6. ⟨hal-00796055⟩

Book sections3 documents

  • Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, et al.. Graphs as Tools to Improve Deep Learning Methods. Advances in Artificial Intelligence: Reviews, 2022. ⟨hal-03377563⟩
  • Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara. Transfer Learning with Sparse Associative Memories. Theoretical Neural Computation, pp.497-512, 2019, ⟨10.1007/978-3-030-30487-4_39⟩. ⟨hal-02487451⟩
  • Bastien Pasdeloup, Vincent Gripon, Réda Alami, Michael Rabbat. Uncertainty Principle on Graphs. Vertex-Frequency Analysis of Graph Signals, pp.317-340, 2019. ⟨hal-01944835⟩

Other publications1 document

Preprints, Working Papers, ...5 documents

  • Myriam Bontonou, Carlos Lassance, Jean-Charles Vialatte, Vincent Gripon. A Unified Deep Learning Formalism For Processing Graph Signals. 2020. ⟨hal-02487422⟩
  • Miloš Nikolić, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, et al.. BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. 2020. ⟨hal-02487489⟩
  • Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio. Attention Based Pruning for Shift Networks. 2019. ⟨hal-02051580v2⟩
  • Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio. Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. 2018. ⟨hal-01965304⟩
  • Vincent Gripon. Tropical Graph Signal Processing. 2017. ⟨hal-01527695v2⟩

Theses1 document

  • Vincent Gripon. Networks of Neural Cliques. Neural and Evolutionary Computing [cs.NE]. Télécom Bretagne, 2011. English. ⟨tel-00743809⟩

Habilitation à diriger des recherches1 document

  • Vincent Gripon. Efficient Representations for Graph and Neural Network Signals. Machine Learning [cs.LG]. ENS Lyon, 2020. ⟨tel-03097485⟩