Vincent Gripon's Homepage

V. Gripon, C. Lassance and G. B. Hacene, "DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems," ArXiv Preprint, 2020. Manuscript.

V. Gripon, "Efficient Representations for Graph and Neural Network Signals," December 2020. Manuscript.

B. Pasdeloup, V. Gripon, R. Alami and M. Rabbat, "Uncertainty Principle on Graphs," L. Stankovic and E. Sejdic, Vertex-Frequency Analysis of Graph Signals, pp. 317--340, April 2019. Manuscript.

C. Berrou and V. Gripon, "Petite mathématique du cerveau," Odile Jacob, September 2012.

Y. Bendou, Y. Hu, R. Lafargue, G. Lioi, B. Pasdeloup, S. Pateux and V. Gripon, "Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components," in MDPI Journal of Imaging, Volume 8, Number 7, July 2022. Manuscript.

Y. Hu, S. Pateux and V. Gripon, "Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning," in Algorithms, Volume 15, Number 5, April 2022. Manuscript.

H. Tessier, V. Gripon, M. Léonardon, M. Arzel, T. Hannagan and D. Bertrand, "Rethinking Weight Decay For Efficient Neural Network Pruning," in Journal of Imaging, Volume 8, Number 3, March 2022. Manuscript.

C. Lassance, V. Gripon and A. Ortega, "Laplacian networks: Bounding indicator function smoothness for neural networks robustness," in APSIPA Transactions on Signal and Information Processing, Volume 10, 2021. Manuscript.

M. Bontonou, L. Béthune and V. Gripon, "Predicting the Generalization Ability of a Few-Shot Classifier," in Information, Volume 12, Number 1, 2021. Manuscript.

C. Lassance, V. Gripon and A. Ortega, "Representing Deep Neural Networks Latent Space Geometries with Graphs," in Algorithms, Volume 14, Number 2, 2021. Manuscript.

C. Lassance, Y. Latif, R. Garg, V. Gripon and I. Reid, "Improved Visual Localization via Graph Filtering," in Journal of Imaging, Volume 7, Number 2, 2021. Manuscript.

V. Gripon, M. Löwe and F. Vermet, "Some Remarks on Replicated Simulated Annealing," in Journal of Statistical Physics, Volume 182, Number 3, pp. 1--22, 2021. Manuscript.

G. Coiffier, G. B. Hacene and V. Gripon, "ThriftyNets: Convolutional Neural Networks with Tiny Parameter Budget," in IoT, Volume 2, Number 2, 2021. Manuscript.

G. Lioi, V. Gripon, A. Brahim, F. Rousseau and N. Farrugia, "Gradients of connectivity as graph Fourier bases of brain activity ," in Network Neuroscience, Volume 5, Number 2, pp. 322--336, March 2021. Manuscript.

P. Novac, G. B. Hacene, A. Pegatoquet, B. Miramond and V. Gripon, "Quantization and Deployment of Deep Neural Networks on Microcontrollers," in Sensors, Volume 21, Number 9, January 2021. Manuscript.

G. B. Hacene, V. Gripon, N. Farrugia, M. Arzel and M. Jezequel, "Transfer Incremental Learning Using Data Augmentation," in Applied Sciences, Volume 8, Number 12, 2018. Manuscript.

A. Iscen, T. Furon, V. Gripon, M. Rabbat and H. Jégou, "Memory vectors for similarity search in high-dimensional spaces," in IEEE Transactions on Big Data, pp. 65--77, 2018.

V. Gripon, M. Löwe and F. Vermet, "Associative Memories to Accelerate Approximate Nearest Neighbor Search," in Applied Sciences, Volume 8, Number 9, September 2018. Manuscript.

A. Mheich, M. Hassan, M. Khalil, V. Gripon, O. Dufor and F. Wendling, "SimiNet: a Novel Method for Quantifying Brain Network Similarity," in IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 40, Number 9, pp. 2238--2249, September 2018.

B. Pasdeloup, V. Gripon, G. Mercier, D. Pastor and M. Rabbat, "Characterization and Inference of Graph Diffusion Processes from Observations of Stationary Signals," in IEEE Transactions on Signal and Information Processing over Networks, Volume 4, Number 3, pp. 481--496, September 2018. Manuscript.

H. Jarollahi, V. Gripon, N. Onizawa and W. J. Gross, "Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse-Clustered Networks," in Transactions on Very Large Scale Integration Systems, Volume 27, Number 2, pp. 375--387, 2016. Manuscript.

X. Jiang, V. Gripon, C. Berrou and M. Rabbat, "Storing sequences in binary tournament-based neural networks," in IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Number 5, pp. 913--925, 2016. Manuscript.

B. Boguslawski, V. Gripon, F. Seguin and F. Heitzmann, "Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques. Applications in Power Management in Electronic circuits," in IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Number 2, pp. 375--387, 2016. Manuscript.

V. Gripon, J. Heusel, M. Löwe and F. Vermet, "A Comparative Study of Sparse Associative Memories," in Journal of Statistical Physics, Volume 164, pp. 105--129, 2016. Manuscript.

A. Aboudib, V. Gripon and G. Coppin, "A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention," in Cognitive Computation, pp. 1--20, September 2016. Manuscript.

G. Soulié, V. Gripon and M. Robert, "Compression of Deep Neural Networks on the Fly," in Lecture Notes in Computer Science, Volume 9887, pp. 153--170, September 2016. Manuscript.

A. Aboudib, V. Gripon and G. Coppin, "A Neural Network Model for Solving the Feature Correspondence Problem," in Lecture Notes in Computer Science, Volume 9887, pp. 439--446, September 2016. Manuscript.

F. Leduc-Primeau, V. Gripon, M. Rabbat and W. J. Gross, "Fault-Tolerant Associative Memories Based on c-Partite Graphs," in IEEE Transactions on Signal Processing, Volume 64, Number 4, pp. 829--841, 2015. Manuscript.

B. K. Aliabadi, C. Berrou, V. Gripon and X. Jiang, "Storing sparse messages in networks of neural cliques," in IEEE Transactions on Neural Networks and Learning Systems, Volume 25, pp. 980--989, 2014. Manuscript.

H. Jarollahi, N. Onizawa, V. Gripon and W. J. Gross, "Algorithm and Architecture of Fully-Parallel Associative Memories Based on Sparse Clustered Networks," in Journal of Signal Processing Systems, pp. 1--13, 2014. Manuscript.

H. Jarollahi, N. Onizawa, V. Gripon, N. Sakimura, T. Sugibayashi, T. Endoh, H. Ohno, T. Hanyu and W. J. Gross, "A Non-Volatile Associative Memory-Based Context-Driven Search Engine Using 90 nm CMOS MTJ-Hybrid Logic-in-Memory Architecture," in Journal on Emerging and Selected Topics in Circuits and Systems, Volume 4, pp. 460--474, 2014. Manuscript.

V. Gripon and C. Berrou, "Sparse neural networks with large learning diversity," in IEEE Transactions on Neural Networks, Volume 22, Number 7, pp. 1087--1096, July 2011. Manuscript.

R. Baena, L. Drumetz and V. Gripon, "Un Mixup Local pour empêcher les intrusions de variétés," in GRETSI, 2022. Manuscript.

R. Lafargue, J. Diguet, V. Gripon and B. Pasdeloup, "Classes adversaires dans l'apprentissage avec peu d'exemples," in GRETSI, 2022. Manuscript.

Y. E. Ouahidi, H. Tessier, G. Lioi, N. Farrugia, B. Pasdeloup and V. Gripon, "Élagage de réseaux de neurones convolutifs sur graphes pour la sélection de fréquences significatives pour le décodage d'IRMf," in GRETSI, 2022. Manuscript.

H. Tessier, V. Gripon, M. Léonardon, M. Arzel, T. Hannagan and D. Bertrand, "Élagage de réseaux profond de neurones par dégradation sélective des pondérations," in GRETSI, 2022. Manuscript.

H. T. V. G. M. L. M. A. D. Bertrand and T. Hannagan, "Leveraging Structured Pruning of Convolutional Neural Networks," in IEEE SiPS, Rennes, France, November 2022. Manuscript.

H. Y. H. L. B. M. Léonardon and V. Gripon, "Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers," in SYSINT: International Conference on System-Integrated Intelligence, Genova, Italy, pp. 543--552, September 2022. Manuscript.

H. T. V. G. M. L. M. A. D. Bertrand and T. Hannagan, "Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU," in SYSINT: International Conference on System-Integrated Intelligence, Genova, Italy, pp. 553--563, September 2022. Manuscript.

R. B. L. Drumetz and V. Gripon, "A Local Mixup to Prevent Manifold Intrusion," in EUSIPCO, pp. 1372--1376, August 2022. Manuscript.

H. Tessier, V. Gripon, M. Léonardon, M. Arzel, D. Bertrand and T. Hannagan, "Investigating the Not-So-Obvious Effects of Structured Pruning," in ICML HAET Workshop, July 2022. Manuscript.

H. T. V. G. M. L. M. A. D. Bertrand and T. Hannagan, "Investigating the Not-So-Obvious Effects of Structured Pruning," in ICML - Hardware-aware efficient training (HAET) workshop, July 2022. Manuscript.

T. Giraudon, V. Gripon, M. Löwe and F. Vermet, "Towards an Intrinsic Definition of Robustness for a Classifier," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4015--4019, 2021. Manuscript.

Y. Hu, V. Gripon and S. Pateux, "Leveraging the Feature Distribution in Transfer-based Few-Shot Learning," in International Conference on Artificial Neural Networks, pp. 487--499, September 2021. Manuscript.

C. Lassance, V. Gripon and G. Mateos, "Graph topology inference benchmarks for machine learning," in IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1--6, September 2021. Manuscript.

M. Hamidouche, C. Lassance, Y. Hu, L. Drumetz, B. Pasdeloup and V. Gripon, "Improving Classification Accuracy with Graph Filtering," in IEEE International Conference on Image Processing (ICIP), pp. 334--338, September 2021. Manuscript.

M. Bontonou, G. Lioi, N. Farrugia and V. Gripon, "Few-shot Decoding of Brain Activation Maps," in 29th European Signal Processing Conference (EUSIPCO), pp. 1326-1330, August 2021. Manuscript.

R. Baena, L. Drumetz and V. Gripon, "Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks," in 29th European Signal Processing Conference (EUSIPCO), pp. 2169--2173, August 2021. Manuscript.

M. Léonardon and V. Gripon, "Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes," in 11th International Symposium on Topics in Coding (ISTC), pp. 1--5, August 2021. Manuscript.

G. B. Hacene, C. Lassance, V. Gripon, M. Courbariaux and Y. Bengio, "Attention Based Pruning for Shift Networks," in 25th International Conference on Pattern Recognition (ICPR), pp. 4054--4061, January 2021. Manuscript.

Y. H. V. Gripon and S. Pateux, "Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification," in 25th International Conference on Pattern Recognition (ICPR), pp. 8164--8171, January 2021. Manuscript.

G. B. Hacene, V. Gripon, M. Arzel, N. Farrugia and Y. Bengio, "Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks," in 18th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 206--209, 2020. Manuscript.

M. Nikolić, G. B. Hacene, C. Bannon, A. D. Lascorz, M. Courbariaux, Y. Bengio, V. Gripon and A. Moshovos, "BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization," in ArXiv Preprint, 2020. Manuscript.

C. Lassance, L. Béthune, M. Bontonou, M. Hamidouche and V. Gripon, "Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs," in ArXiv Preprint, 2020. Manuscript.

L. Khacef, V. Gripon and B. Miramond, "GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning," in International Conference on Neural Information Processing, pp. 404--416, August 2020. Manuscript.

G. B. Hacene, V. Gripon, N. Farrugia, M. Arzel and M. Jezequel, "Efficient Hardware Implementation of Incremental Learning and Inference on Chip," in 17th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 206--209, June 2020.

C. Lassance, M. Bontonou, G. B. Hacene, V. Gripon, J. Tang and A. Ortega, "Deep geometric knowledge distillation with graphs," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8484-8488, May 2020.

Q. Jodelet, V. Gripon and M. Hagiwara, "Transfer Learning with Sparse Associative Memories," in International Conference on Artificial Neural Networks, pp. 497--512, 2019. Manuscript.

G. B. Hacene, F. Leduc-Primeau, A. B. Soussia, V. Gripon and F. Gagnon, "Robustesse des réseaux de neurones profonds aux défaillances mémoire," in GRETSI, August 2019. Manuscript.

M. Bontonou, C. Lassance, J. Vialatte and V. Gripon, "Un modèle unifié pour la classification de signaux sur graphe avec de l’apprentissage profond," in GRETSI, August 2019. Manuscript.

C. Lassance, V. Gripon, J. Tang and A. Ortega, "Robustesse structurelle des architectures d’apprentissage profond," in GRETSI, August 2019. Manuscript.

M. Bontonou, C. Lassance, V. Gripon and N. Farrugia, "Comparing linear structure-based and data-driven latent spatial representations for sequence prediction," in Wavelets and Sparsity XVIII, San Diego, USA, August 2019. Manuscript.

C. Lassance, V. Gripon, J. Tang and A. Ortega, "Structural Robustness for Deep Learning Architectures," in Data Science Workshop, pp. 125--129, June 2019. Manuscript.

M. Bontonou, C. Lassance, G. B. Hacene, V. Gripon, J. Tang and A. Ortega, "Introducing Graph Smoothness Loss for Training Deep Learning Architectures," in Data Science Workshop, pp. 160--164, June 2019. Manuscript.

G. B. Hacene, F. Leduc-Primeau, A. B. Soussia, V. Gripon and F. Gagnon, "Training modern deep neural networks for memory-fault robustness," in Proceedings of the IEEE International Symposium on Circuits and Systems, pp. 1--5, May 2019.

M. Bontonou, C. Lassance, J. Vialatte and V. Gripon, "A Unified Deep Learning Formalism For Processing Graph Signals," in SDM Special Session on Graph Neural Networks, May 2019. Manuscript.

N. Grelier, C. R. K. Lassance, E. Dupraz and V. Gripon, "Graph-Projected Signal Processing," in IEEE GlobalSIP, pp. 763--767, 2018. Manuscript.

C. E. R. K. Lassance, J. Vialatte and V. Gripon, "Matching Convolutional Neural Networks without Priors about Data," in Proceedings of Data Science Workshop, pp. 234--238, 2018. Manuscript.

V. Gripon, G. B. Hacene, M. Löwe and F. Vermet, "Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation," in proceedings of ICASSP, pp. 2966-2970, April 2018. Manuscript.

V. Gripon, A. Ortega and B. Girault, "An Inside Look at Deep Neural Networks using Graph Signal Processing," in Proceedings of ITA, pp. 1--9, February 2018. Manuscript.

G. B. Hacene, V. Gripon, N. Farrugia, M. Arzel and M. Jezequel, "Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories," in Proceedings of SIPS, pp. 1063--1073, 2017. Manuscript.

G. B. Hacene, V. Gripon, N. Farrugia, M. Arzel and M. Jezequel, "Incremental Learning on Chip," in Proceedings of GlobalSip, pp. 789--792, 2017. Manuscript.

M. Ménoret, N. Farrugia, B. Pasdeloup and V. Gripon, "Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction," in Proceedings of GlobalSip, pp. 618--622, 2017. Manuscript.

J. Vialatte, V. Gripon and G. Coppin, "Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs," in Proceedings of GlobalSip, pp. 623--627, 2017. Manuscript.

V. Gripon, "Tropical Graph Signal Processing," in Proceedings of the Asilomar conference, pp. 50--54, October 2017. Manuscript.

E. Coyac, V. Gripon, C. Langlais and C. Berrou, "Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise," in Arxiv Preprint, September 2017. Manuscript.

E. Coyac, V. Gripon, C. Langlais and C. Berrou, "Performance of Neural Clique Networks Subject to Synaptic Noise," in Proceedings of Cognitive, pp. 4--9, February 2017. Manuscript.

G. B. Hacene, V. Gripon, N. Farrugia, M. Arzel and M. Jezequel, "Finding All Matches in a Database using Binary Neural Networks," in Proceedings of Cognitive, pp. 59--64, February 2017. Manuscript.

T. Stérin, N. Farrugia and V. Gripon, "An Intrinsic Difference Between Vanilla RNNs and GRU Models," in Proceedings of Cognitive, pp. 76--81, February 2017. Manuscript.

N. Grelier, B. Pasdeloup, J. Vialatte and V. Gripon, "Neighborhood-Preserving Translations on Graphs," in Proceedings of GlobalSIP, pp. 410--414, October 2016.

E. Coyac, V. Gripon, C. Langlais and C. Berrou, "Distributed Coding and Synaptic Pruning," in Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, pp. 206--210, September 2016. Manuscript.

A. Aboudib, V. Gripon and G. Coppin, "A Turbo-Inspired Iterative Approach for Correspondence Problems of Image Features," in Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, pp. 226--230, September 2016. Manuscript.

P. Tigréat, C. R. K. Lassance, X. Jiang, V. Gripon and C. Berrou, "Assembly Output Codes for Learning Neural Networks," in Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, pp. 285--289, September 2016. Manuscript.

D. Ferro, V. Gripon and X. Jiang, "Nearest Neighbour Search Using Binary Neural Networks," in Proceedings of IJCNN, pp. 5106--5112, July 2016. Manuscript.

A. Mheich, M. Hassan, F. Wendling, M. Khalil, O. Dufor, V. Gripon and C. Berrou, "SimNet: A new algorithm for measuring brain networks similarity," in Proceedings of the ICABME international conference, pp. 119--122, 2015. Manuscript.

B. Pasdeloup, V. Gripon, G. Mercier and D. Pastor, "Vers une caractérisation de la courbe d'incertitude pour des graphes portant des signaux," in Proceedings of the GRETSI conference, 2015. Manuscript.

R. Danilo, V. Gripon, P. Coussy and L. Conde-Canencia, "Réseaux de Clusters de Neurones Restreints," in Proceedings of the GRETSI conference, 2015. Manuscript.

E. Coyac, V. Gripon and C. Langlais, "Impact du bruit synaptique sur les performances des réseaux de cliques neurales," in Proceedings of the GRETSI conference, 2015. Manuscript.

B. Pasdeloup, M. Rabbat, V. Gripon, D. Pastor and G. Mercier, "Graph Reconstruction from the Observation of Diffused Signals," in Proceedings of the 53rd Allerton Conference, pp. 1386--1390, October 2015. Manuscript.

B. Pasdeloup, R. Alami, V. Gripon and M. Rabbat, "Toward an uncertainty principle for weighted graphs," in Proceedings of the 23rd European Signal Processing Conference, pp. 1496--1500, July 2015.

R. Danilo, H. Jarollahi, V. Gripon, P. Coussy, L. Conde-Canencia and W. J. Gross, "Algorithm and Implementation of an Associative Memory for Oriented Edge Detection Using Improved Clustered Neural Networks," in Proceedings of ISCAS Conference, pp. 2501--2504, May 2015. Manuscript.

R. Danilo, V. Gripon, P. Coussy, L. Conde-Canencia and W. J. Gross, "Restricted Clustered Neural Network for Storing Real Data," in proceedings of GLSVLSI conference, pp. 205--210, May 2015. Manuscript.

A. Mheich, M. Hassan, V. Gripon, O. Dufor, M. Khalil, C. Berrou and F. Wendling, "A novel algorithm for measuring graph similarity: application to brain networks," in Proceedings of the IEEE EMBS Neural Engineering Conference, pp. 1068--1071, April 2015. Manuscript.

A. Aboudib, V. Gripon and G. Coppin, "A Model of Bottom-Up Visual Attention Using Cortical Magnification," in Proceedings of ICASSP, pp. 1493--1497, April 2015. Manuscript.

E. S. Gooya, D. Pastor and V. Gripon, "Automatic face recognition using SIFT and networks of tagged neural cliques," in Proceedings of Cognitive, pp. 57--61, March 2015. Manuscript.

S. Larroque, E. S. Gooya, V. Gripon and D. Pastor, "Using Tags to Improve Diversity of Sparse Associative Memories," in Proceedings of Cognitive, pp. 1--7, March 2015. Manuscript.

C. Yu, V. Gripon, X. Jiang and H. Jégou, "Neural Associative Memories as Accelerators for Binary Vector Search," in Proceedings of Cognitive, pp. 85--89, March 2015. Manuscript.

A. Aboudib, V. Gripon and B. Tessiau, "Implementing Relational-Algebraic Operators for Improving Cognitive Abilities in Networks of Neural Cliques," in Proceedings of Cognitive, pp. 36--41, March 2015. Manuscript.

H. Jarollahi, N. Onizawa, V. Gripon, T. Hanyu and W. J. Gross, "Algorithm and Architecture for a Multiple-Field Context-Driven Search Engine Using Fully-Parallel Clustered Associative Memories," in Proceedings of SiPS, pp. 1--6, October 2014. Manuscript.

V. Gripon, V. Skachek and M. Rabbat, "Sparse Binary Matrices as Efficient Associative Memories," in Proceedings of the 52nd Allerton conference, pp. 499--504, October 2014. Manuscript.

C. Berrou, O. Dufor, V. Gripon and X. Jiang, "Information, Noise, Coding, Modulation: What about the Brain?," in Proceedings of the 8th symposium on Turbo Codes and Iterative Information Processing, pp. 167--172, August 2014. Manuscript.

B. Boguslawski, V. Gripon, F. Seguin and F. Heitzmann, "Huffman Coding for Storing Non-uniformly Distributed Messages in Networks of Neural Cliques," in proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, volume 1, pp. 262--268, July 2014. Manuscript.

Z. Yao, V. Gripon and M. Rabbat, "A GPU-based Associative Memory using Sparse Neural Networks," in Proceedings of the PCNN-14 conference, pp. 688--692, July 2014. Manuscript.

F. Leduc-Primeau, V. Gripon, M. Rabbat and W. Gross, "Cluster-based Associative Memories Built From Unreliable Storage," in ICASSP, pp. 8370--8374, May 2014. Manuscript.

M. Rabbat and V. Gripon, "Towards a Spectral Characterization of Signals Supported on Small-World Networks," in ICASSP, pp. 4793--4797, May 2014. Manuscript.

A. Aboudib, V. Gripon and X. Jiang, "A study of retrieval algorithms of sparse messages in networks of neural cliques," in Proceedings of Cognitive 2014, pp. 140--146, May 2014. Manuscript.

V. Gripon, V. Skachek and M. G. Rabbat, "Sparse Structured Associative Memories as Efficient Set-Membership Data Structures," in Proceedings of the 51st Allerton conference, pp. 500--505, October 2013. Manuscript.

V. Gripon and M. Rabbat, "Maximum Likelihood Associative Memories," in Proceedings of Information Theory Workshop, pp. 1--5, September 2013. Manuscript.

V. Gripon and X. Jiang, "Mémoires associatives pour observations floues," in Proceedings of XXIV-th Gretsi seminar, September 2013. Manuscript.

V. Gripon and M. Rabbat, "Reconstructing a Graph from Path Traces," in Proceedings of International Symposium on Information Theory, pp. 2488--2492, July 2013. Manuscript.

H. Jarollahi, V. Gripon, N. Onizawa and W. J. Gross, "A Low-Power Content-Adressable-Memory Based on Clustered-Sparse-Networks," in Proceedings of 24th International Conference on Application-specific Systems, Architectures and Processors, pp. 642--653, June 2013. Manuscript.

H. Jarollahi, N. Onizawa, V. Gripon and W. J. Gross, "Reduced-complexity binary-weight-coded associative memories," in Proceedings of International Conference on Acoustics, Speech, and Signal Processing, pp. 2523--2527, May 2013. Manuscript.

V. Gripon, M. Rabbat, V. Skachek and W. J. Gross, "Compressing multisets using tries," in Proceedings of Information Theory Workshop, Lausanne, Switzerland, pp. 647--651, September 2012. Manuscript. Presentation.

V. Gripon, V. Skachek, W. J. Gross and M. Rabbat, "Random clique codes," in Proceedings of 7" International Symposium on Turbo Codes and Iterative Information Processing, Gothenburg, Sweden, pp. 121--125, August 2012. Manuscript. Presentation.

X. Jiang, V. Gripon and C. Berrou, "Learning long sequences in binary neural networks," in Proceedings of Cognitive 2012, Nice, France, pp. 165--170, July 2012. Manuscript.

H. Jarollahi, N. Onizawa, V. Gripon and W. J. Gross, "Architecture and Implementation of an Associative Memory Using Sparse Clustered Networks," in Proceedings of IEEE International Symposium on Circuits and Systems, pp. 2901--2904, May 2012. Manuscript. Presentation.

V. Gripon and C. Berrou, "Nearly-optimal associative memories based on distributed constant weight codes," in Proceedings of Information Theory and Applications Workshop, San Diego, CA, USA, pp. 269--273, February 2012. Manuscript. Presentation.

V. Gripon and C. Berrou, "A simple and efficient way to store many messages using neural cliques," in Proceedings of IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Paris, France, pp. 54--58, April 2011. Manuscript. Presentation.

C. Berrou and V. Gripon, "Coded Hopfield networks," in Proceedings of 6" International Symposium on Turbo Codes and Iterative Information Processing, Brest, France, pp. 1--5, September 2010. Manuscript.

V. Gripon and O. Serre, "Qualitative Concurrent Stochastic Games with Imperfect Information," in Proceedings of 36th International Colloquium of Automata, Languages and Programming, Springer, Lecture Notes in Computer Science, Rhodes, Greece, pp. 200--211, July 2009. Manuscript.