Vincent Gripon

201 papers A* 2A 1B 8C 5Misc 14Journal 119Unranked 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware.
CoRR
R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2026 J jnl
D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding.
CoRR
Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026 J jnl
Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning.
CoRR
R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2026 J jnl
Efficient Few-Shot Learning for Edge AI via Knowledge Distillation on MobileViT.
CoRR
Shuhei Tsuyuki, Reda Bensaid, Jérémy Morlier, Mathieu Léonardon, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu
2026 J jnl
Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training.
CoRR
Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026 J jnl
MONET: Modeling and Optimization of neural NEtwork Training from Edge to Data Centers.
CoRR
Jérémy Morlier, Robin Geens, Stef Cuyckens, Arne Symons, Marian Verhelst, Vincent Gripon, Mathieu Léonardon
2026 J jnl
MUKA: Multi Kernel Audio Adaptation Of Audio-Language Models.
CoRR
Reda Bensaid, Amine Ouasfi, Yassir Bendou, Ilyass Moummad, Vincent Gripon, François Leduc-Primeau, Adnane Boukhayma
2026 J jnl
Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers.
CoRR
Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2025 J jnl
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models.
Trans. Mach. Learn. Res.
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2025 J jnl
Anomalous Samples for Few-Shot Anomaly Detection.
CoRR
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon
2025 C conf
Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware.
ISCAS
R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2025 B conf
Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems.
IJCNN
Jérémy Morlier, Mathieu Léonardon, Vincent Gripon
2025 J jnl
Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems.
CoRR
Jérémy Morlier, Mathieu Léonardon, Vincent Gripon
2025 J jnl
Object-Centric Cropping for Visual Few-Shot Classification.
CoRR
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon
2025 A* conf
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models.
CVPR
Yassir Bendou, Amine Ouasfi, Vincent Gripon, Adnane Boukhayma
2025 J jnl
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models.
CoRR
Yassir Bendou, Amine Ouasfi, Vincent Gripon, Adnane Boukhayma
2025 J jnl
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects.
CoRR
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi
2025 — conf
Signal-Informed Semi-Supervised 3D Segmentation for Subsurface Analysis.
EUSIPCO
Alexandre Thouvenot, Lionel Boillot, Vincent Gripon
2025 J jnl
TensLoRA: Tensor Alternatives for Low-Rank Adaptation.
CoRR
Axel Marmoret, Reda Bensaid, Jonathan Lys, Vincent Gripon, François Leduc-Primeau
2024 J jnl
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models.
CoRR
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2024 C conf
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
ISCAS
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2024 — conf
Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning.
MWSCAS
R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2024 J jnl
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes.
CoRR
Raphaël Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian D. Reid, Vincent Gripon, Jack Valmadre
2024 J jnl
LLM meets Vision-Language Models for Zero-Shot One-Class Classification.
CoRR
Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon
2024 J jnl
Local Mixup: Interpolation of closest input signals to prevent manifold intrusion.
Signal Process.
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024 — conf
On Transfer in Classification: How Well do Subsets of Classes Generalize?
EUSIPCO
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024 J jnl
On Transfer in Classification: How Well do Subsets of Classes Generalize?
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024 J jnl
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning.
CoRR
Raphaël Lafargue, Luke Smith, Franck Vermet, Mathias Löwe, Ian D. Reid, Vincent Gripon, Jack Valmadre
2024 J jnl
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning.
Trans. Mach. Learn. Res.
Raphaël Lafargue, Luke Smith, Franck Vermet, Matthias Löwe, Ian Reid, Jack Valmadre, Vincent Gripon
2024 J jnl
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding.
CoRR
Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2024 — conf
Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding.
EUSIPCO
Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2023 — conf
A Statistical Model for Predicting Generalization in Few-Shot Classification.
EUSIPCO
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2023 J jnl
A Strong and Simple Deep Learning Baseline for BCI MI Decoding.
CoRR
Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi
2023 Misc conf
Active Learning for Efficient Few-Shot Classification.
ICASSP
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
2023 A conf
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification.
AISTATS
Yuqing Hu, Stéphane Pateux, Vincent Gripon
2023 J jnl
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach.
CoRR
Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup
2023 Misc conf
Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models.
ICASSP
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2023 J jnl
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning.
CoRR
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2023 Misc conf
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities.
ICASSP
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2023 J jnl
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning.
CoRR
Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon
2022 — conf
A Local Mixup to Prevent Manifold Intrusion.
EUSIPCO
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022 J jnl
A Statistical Model for Predicting Generalization in Few-Shot Classification.
CoRR
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2022 J jnl
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings.
CoRR
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
2022 J jnl
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification.
CoRR
Yuqing Hu, Stéphane Pateux, Vincent Gripon
2022 J jnl
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.
CoRR
Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
2022 J jnl
Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components.
J. Imaging
Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
2022 — conf
Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU.
SYSINT
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 J jnl
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU.
CoRR
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 — conf
Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers.
SYSINT
Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon
2022 — conf
Leveraging Structured Pruning of Convolutional Neural Networks.
SiPS
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 J jnl
Leveraging Structured Pruning of Convolutional Neural Networks.
CoRR
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022 J jnl
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization.
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022 J jnl
Preventing Manifold Intrusion with Locality: Local Mixup.
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022 — conf
Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding.
EUSIPCO
Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022 J jnl
Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding.
CoRR
Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022 J jnl
Rethinking Weight Decay for Efficient Neural Network Pruning.
J. Imaging
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2022 J jnl
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities.
CoRR
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022 J jnl
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning.
Algorithms
Yuqing Hu, Stéphane Pateux, Vincent Gripon
2021 — conf
Few-Shot Decoding of Brain Activation Maps.
EUSIPCO
Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
2021 J jnl
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification.
CoRR
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2021 J jnl
Graphs as Tools to Improve Deep Learning Methods.
CoRR
Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
2021 J jnl
Improved Visual Localization via Graph Filtering.
J. Imaging
Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid
2021 B conf
Improving Classification Accuracy With Graph Filtering.
ICIP
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021 J jnl
Improving Classification Accuracy with Graph Filtering.
CoRR
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021 — conf
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.
EUSIPCO
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2021 J jnl
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.
CoRR
Raphaël Baena, Lucas Drumetz, Vincent Gripon
2021 — conf
Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning.
ICANN (2)
Yuqing Hu, Vincent Gripon, Stéphane Pateux
2021 J jnl
Predicting the Generalization Ability of a Few-Shot Classifier.
Inf.
Myriam Bontonou, Louis Béthune, Vincent Gripon
2021 J jnl
Quantization and Deployment of Deep Neural Networks on Microcontrollers.
CoRR
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
2021 J jnl
Quantization and Deployment of Deep Neural Networks on Microcontrollers.
Sensors
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
2021 J jnl
Representing Deep Neural Networks Latent Space Geometries with Graphs.
Algorithms
Carlos Lassance, Vincent Gripon, Antonio Ortega
2021 — conf
Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps?
ACSCC
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2021 J jnl
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning.
CoRR
Yuqing Hu, Vincent Gripon, Stéphane Pateux
2021 Misc conf
Towards an Intrinsic Definition of Robustness for a Classifier.
ICASSP
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
2021 — conf
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes.
ISTC
Mathieu Léonardon, Vincent Gripon
2021 J jnl
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes.
CoRR
Mathieu Léonardon, Vincent Gripon
2020 B conf
Attention Based Pruning for Shift Networks.
ICPR
Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2020 J jnl
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
CoRR
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2020 J jnl
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay.
CoRR
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2020 J jnl
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems.
CoRR
Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
2020 Misc conf
Deep Geometric Knowledge Distillation with Graphs.
ICASSP
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2020 — book
Efficient Representations for Graph and Neural Network Signals. (Représentations efficaces pour les signaux sur graphes et réseaux de neurones).
Vincent Gripon
2020 J jnl
Exploiting Unsupervised Inputs for Accurate Few-Shot Classification.
CoRR
Yuqing Hu, Vincent Gripon, Stéphane Pateux
2020 J jnl
Few-shot Learning for Decoding Brain Signals.
CoRR
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2020 — conf
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning.
ICONIP (2)
Lyes Khacef, Vincent Gripon, Benoît Miramond
2020 J jnl
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning.
CoRR
Lyes Khacef, Vincent Gripon, Benoît Miramond
2020 — conf
Graph Topology Inference Benchmarks for Machine Learning.
MLSP
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020 J jnl
Graph topology inference benchmarks for machine learning.
CoRR
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020 B conf
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification.
ICPR
Yuqing Hu, Vincent Gripon, Stéphane Pateux
2020 J jnl
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning.
CoRR
Yuqing Hu, Vincent Gripon, Stéphane Pateux
2020 J jnl
Predicting the Accuracy of a Few-Shot Classifier.
CoRR
Myriam Bontonou, Louis Béthune, Vincent Gripon
2020 — conf
Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks.
NEWCAS
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2020 J jnl
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs.
CoRR
Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
2020 J jnl
Representing Deep Neural Networks Latent Space Geometries with Graphs.
CoRR
Carlos Lassance, Vincent Gripon, Antonio Ortega
2020 J jnl
Some Remarks on Replicated Simulated Annealing.
CoRR
Vincent Gripon, Matthias Löwe, Franck Vermet
2020 J jnl
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget.
CoRR
Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon
2020 J jnl
Towards an Intrinsic Definition of Robustness for a Classifier.
CoRR
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
2019 J jnl
A Unified Deep Learning Formalism For Processing Graph Signals.
CoRR
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2019 J jnl
Attention Based Pruning for Shift Networks.
CoRR
Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2019 J jnl
Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories.
J. Signal Process. Syst.
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019 J jnl
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction.
CoRR
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia
2019 J jnl
Deep geometric knowledge distillation with graphs.
CoRR
Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019 — conf
Efficient Hardware Implementation of Incremental Learning and Inference on Chip.
NEWCAS
Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019 J jnl
Efficient Hardware Implementation of Incremental Learning and Inference on Chip.
CoRR
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019 J jnl
Improved Visual Localization via Graph Smoothing.
CoRR
Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid
2019 — conf
Introducing Graph Smoothness Loss for Training Deep Learning Architectures.
DSW
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019 J jnl
Introducing Graph Smoothness Loss for Training Deep Learning Architectures.
CoRR
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019 — conf
Structural Robustness for Deep Learning Architectures.
DSW
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
2019 J jnl
Structural Robustness for Deep Learning Architectures.
CoRR
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
2019 C conf
Training Modern Deep Neural Networks for Memory-Fault Robustness.
ISCAS
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019 J jnl
Training Modern Deep Neural Networks for Memory-Fault Robustness.
CoRR
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019 — conf
Transfer Learning with Sparse Associative Memories.
ICANN (1)
Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
2019 J jnl
Transfer Learning with Sparse Associative Memories.
CoRR
Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
2018 Misc conf
An Inside Look at Deep Neural Networks Using Graph Signal Processing.
ITA
Vincent Gripon, Antonio Ortega, Benjamin Girault
2018 J jnl
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals.
IEEE Trans. Signal Inf. Process. over Networks
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
2018 — conf
Graph-Projected Signal Processing.
GlobalSIP
Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon
2018 Misc conf
Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation.
ICASSP
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
2018 J jnl
Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense.
CoRR
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega
2018 — conf
Matching Convolutional Neural Networks without Priors about Data.
DSW
Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018 J jnl
Matching Convolutional Neural Networks without Priors about Data.
CoRR
Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018 J jnl
Memory Vectors for Similarity Search in High-Dimensional Spaces.
IEEE Trans. Big Data
Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
2018 J jnl
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks.
CoRR
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2018 J jnl
SimiNet: A Novel Method for Quantifying Brain Network Similarity.
IEEE Trans. Pattern Anal. Mach. Intell.
Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil, Vincent Gripon, Olivier Dufor, Fabrice Wendling
2018 J jnl
Transfer Incremental Learning using Data Augmentation.
CoRR
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017 — conf
Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories.
SiPS
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017 J jnl
Convolutional neural networks on irregular domains through approximate translations on inferred graphs.
CoRR
Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor
2017 J jnl
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction.
CoRR
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2017 — conf
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction.
GlobalSIP
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2017 J jnl
Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation.
CoRR
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
2017 — conf
Incremental learning on chip.
GlobalSIP
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017 J jnl
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs.
CoRR
Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin
2017 — conf
Learning local receptive fields and their weight sharing scheme on graphs.
GlobalSIP
Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin
2017 — conf
NoC-MRAM architecture for memory-based computing: Database-search case study.
NEWCAS
Mostafa Rizk, Jean-Philippe Diguet, Naoya Onizawa, Amer Baghdadi, Martha Johanna Sepúlveda, Y. Akgul, Vincent Gripon, Takahiro Hanyu
2017 J jnl
Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise.
CoRR
Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou
2017 J jnl
Translations on graphs with neighborhood preservation.
CoRR
Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor
2017 Misc conf
Tropical graph signal processing.
ACSSC
Vincent Gripon
2016 J jnl
A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention.
Cogn. Comput.
Ala Aboudib, Vincent Gripon, Gilles Coppin
2016 — conf
A Neural Network Model for Solving the Feature Correspondence Problem.
ICANN (2)
Ala Aboudib, Vincent Gripon, Gilles Coppin
2016 — conf
A turbo-inspired iterative approach for correspondence problems of image features.
ISTC
Ala Aboudib, Vincent Gripon, Gilles Coppin
2016 — conf
Assembly output codes for learning neural networks.
ISTC
Philippe Tigreat, Carlos Eduardo Rosar Kós Lassance, Xiaoran Jiang, Vincent Gripon, Claude Berrou
2016 J jnl
Associative Memories to Accelerate Approximate Nearest Neighbor Search.
CoRR
Vincent Gripon, Matthias Löwe, Franck Vermet
2016 — conf
Associative Memory based on clustered Neural Networks: Improved model and architecture for Oriented Edge Detection.
DASIP
Robin Danilo, Hugues Nono Wouafo, Cyrille Chavet, Vincent Gripon, Laura Conde-Canencia, Philippe Coussy
2016 J jnl
Characterization and inference of weighted graph topologies from observations of diffused signals.
CoRR
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
2016 — conf
Compression of Deep Neural Networks on the Fly.
ICANN (2)
Guillaume Soulié, Vincent Gripon, Maëlys Robert
2016 — conf
Distributed coding and synaptic pruning.
ISTC
Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou
2016 J jnl
Fault-Tolerant Associative Memories Based on c-Partite Graphs.
IEEE Trans. Signal Process.
François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2016 J jnl
Generalizing the Convolution Operator to Extend CNNs to Irregular Domains.
CoRR
Jean-Charles Vialatte, Vincent Gripon, Grégoire Mercier
2016 J jnl
Graph reconstruction from the observation of diffused signals.
CoRR
Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2016 — conf
Massively parallel implementation of sparse message retrieval algorithms in Clustered Clique Networks.
HPCS
Philippe Tigreat, Pierre-Henri Horrein, Vincent Gripon
2016 B conf
Nearest Neighbour Search using binary neural networks.
IJCNN
Demetrio Ferro, Vincent Gripon, Xiaoran Jiang
2016 J jnl
Neighborhood-Preserving Translations on Graphs.
CoRR
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
2016 — conf
Neighborhood-preserving translations on graphs.
GlobalSIP
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
2016 J jnl
Storing Sequences in Binary Tournament-Based Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat
2016 Misc conf
Towards a characterization of the uncertainty curve for graphs.
ICASSP
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor
2016 J jnl
Towards a characterization of the uncertainty curve for graphs.
CoRR
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor
2016 J jnl
Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits.
IEEE Trans. Neural Networks Learn. Syst.
Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann
2015 Misc conf
A model of bottom-up visual attention using cortical magnification.
ICASSP
Ala Aboudib, Vincent Gripon, Gilles Coppin
2015 — conf
A novel algorithm for measuring graph similarity: Application to brain networks.
NER
Ahmad Mheich, Mahmoud Hassan, Vincent Gripon, Mohamad Khalil, Claude Berrou, Olivier Dufor, Fabrice Wendling
2015 J jnl
Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse Clustered Networks.
IEEE Trans. Very Large Scale Integr. Syst.
Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross
2015 C conf
Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks.
ISCAS
Robin Danilo, Hooman Jarollahi, Vincent Gripon, Philippe Coussy, Laura Conde-Canencia, Warren J. Gross
2015 J jnl
Compression of Deep Neural Networks on the Fly.
CoRR
Guillaume Soulié, Vincent Gripon, Maëlys Robert
2015 — conf
Graph reconstruction from the observation of diffused signals.
Allerton
Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2015 — conf
Restricted Clustered Neural Network for Storing Real Data.
ACM Great Lakes Symposium on VLSI
Robin Danilo, Philippe Coussy, Laura Conde-Canencia, Vincent Gripon, Warren J. Gross
2015 J jnl
Toward An Uncertainty Principle For Weighted Graphs.
CoRR
Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
2015 — conf
Toward an uncertainty principle for weighted graphs.
EUSIPCO
Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
2014 — conf
A GPU-based associative memory using sparse Neural Networks.
HPCS
Zhe Yao, Vincent Gripon, Michael G. Rabbat
2014 J jnl
A Nonvolatile Associative Memory-Based Context-Driven Search Engine Using 90 nm CMOS/MTJ-Hybrid Logic-in-Memory Architecture.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Noboru Sakimura, Tadahiko Sugibayashi, Tetsuo Endoh, Hideo Ohno, Takahiro Hanyu, Warren J. Gross
2014 J jnl
Algorithm and Architecture of Fully-Parallel Associative Memories Based on Sparse Clustered Networks.
J. Signal Process. Syst.
Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross
2014 — conf
Algorithm and architecture for a multiple-field context-driven search engine using fully-parallel clustered associative memories.
SiPS
Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu, Warren J. Gross
2014 Misc conf
Cluster-based associative memories built from unreliable storage.
ICASSP
François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2014 J jnl
Combating Corrupt Messages in Sparse Clustered Associative Memories.
CoRR
Zhe Yao, Vincent Gripon, Michael G. Rabbat
2014 A* conf
Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques.
AAAI
Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann
2014 — conf
Information, noise, coding, modulation: What about the brain?
ISTC
Claude Berrou, Olivier Dufor, Vincent Gripon, Xiaoran Jiang
2014 J jnl
Memory vectors for similarity search in high-dimensional spaces.
CoRR
Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
2014 — conf
Sparse binary matrices as efficient associative memories.
Allerton
Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2014 J jnl
Storing sequences in binary tournament-based neural networks.
CoRR
Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat
2014 Misc conf
Towards a spectral characterization of signals supported on small-world networks.
ICASSP
Michael G. Rabbat, Vincent Gripon
2013 J jnl
A Low-Power Content-Addressable-Memory Based on Clustered-Sparse-Networks
CoRR
Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross
2013 J jnl
A Massively Parallel Associative Memory Based on Sparse Neural Networks
CoRR
Zhe Yao, Vincent Gripon, Michael G. Rabbat
2013 — conf
A low-power Content-Addressable Memory based on clustered-sparse networks.
ASAP
Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross
2013 J jnl
A study of retrieval algorithms of sparse messages in networks of neural cliques.
CoRR
Ala Aboudib, Vincent Gripon, Xiaoran Jiang
2013 J jnl
Bounds on associative memories
CoRR
Vincent Gripon, Michael G. Rabbat
2013 J jnl
Improving Sparse Associative Memories by Escaping from Bogus Fixed Points.
CoRR
Zhe Yao, Vincent Gripon, Michael G. Rabbat
2013 B conf
Maximum likelihood associative memories.
ITW
Vincent Gripon, Michael G. Rabbat
2013 J jnl
Reconstructing a Graph from Path Traces
CoRR
Vincent Gripon, Michael G. Rabbat
2013 B conf
Reconstructing a graph from path traces.
ISIT
Vincent Gripon, Michael G. Rabbat
2013 Misc conf
Reduced-complexity binary-weight-coded associative memories.
ICASSP
Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross
2013 — conf
Sparse structured associative memories as efficient set-membership data structures.
Allerton
Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2013 J jnl
Storing non-uniformly distributed messages in networks of neural cliques.
CoRR
Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann
2012 C conf
Architecture and implementation of an associative memory using sparse clustered networks.
ISCAS
Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross
2012 B conf
Compressing multisets using tries.
ITW
Vincent Gripon, Michael G. Rabbat, Vitaly Skachek, Warren J. Gross
2012 J jnl
Forwarding Without Repeating: Efficient Rumor Spreading in Bounded-Degree Graphs
CoRR
Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2012 J jnl
Learning sparse messages in networks of neural cliques
CoRR
Behrooz Kamary Aliabadi, Claude Berrou, Vincent Gripon, Xiaoran Jiang
2012 Misc conf
Nearly-optimal associative memories based on distributed constant weight codes.
ITA
Vincent Gripon, Claude Berrou
2012 — conf
Random clique codes.
ISTC
Vincent Gripon, Vitaly Skachek, Warren J. Gross, Michael G. Rabbat
2011 — conf
A simple and efficient way to store many messages using neural cliques.
CCMB
Vincent Gripon, Claude Berrou
2011 — —
Networks of Neural Cliques. (Réseaux de cliques neurales).
Vincent Gripon
2011 J jnl
Sparse Neural Networks With Large Learning Diversity.
IEEE Trans. Neural Networks
Vincent Gripon, Claude Berrou
2011 J jnl
Sparse neural networks with large learning diversity
CoRR
Vincent Gripon, Claude Berrou
2009 J jnl
Qualitative Concurrent Games with Imperfect Information
CoRR
Vincent Gripon, Olivier Serre
2009 — conf
Qualitative Concurrent Stochastic Games with Imperfect Information.
ICALP (2)
Vincent Gripon, Olivier Serre
test_files/hello
← Index test_files/hello binary
Binary file: 15960 bytes total. Showing the first 4096 bytes as hex.
00000000  7f 45 4c 46 02 01 01 00  00 00 00 00 00 00 00 00  |.ELF............|
00000010  03 00 3e 00 01 00 00 00  60 10 00 00 00 00 00 00  |..>.....`.......|
00000020  40 00 00 00 00 00 00 00  98 36 00 00 00 00 00 00  |@........6......|
00000030  00 00 00 00 40 00 38 00  0d 00 40 00 1f 00 1e 00  |[email protected]...@.....|
00000040  06 00 00 00 04 00 00 00  40 00 00 00 00 00 00 00  |........@.......|
00000050  40 00 00 00 00 00 00 00  40 00 00 00 00 00 00 00  |@.......@.......|
00000060  d8 02 00 00 00 00 00 00  d8 02 00 00 00 00 00 00  |................|
00000070  08 00 00 00 00 00 00 00  03 00 00 00 04 00 00 00  |................|
00000080  18 03 00 00 00 00 00 00  18 03 00 00 00 00 00 00  |................|
00000090  18 03 00 00 00 00 00 00  1c 00 00 00 00 00 00 00  |................|
000000a0  1c 00 00 00 00 00 00 00  01 00 00 00 00 00 00 00  |................|
000000b0  01 00 00 00 04 00 00 00  00 00 00 00 00 00 00 00  |................|
000000c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000000d0  28 06 00 00 00 00 00 00  28 06 00 00 00 00 00 00  |(.......(.......|
000000e0  00 10 00 00 00 00 00 00  01 00 00 00 05 00 00 00  |................|
000000f0  00 10 00 00 00 00 00 00  00 10 00 00 00 00 00 00  |................|
00000100  00 10 00 00 00 00 00 00  75 01 00 00 00 00 00 00  |........u.......|
00000110  75 01 00 00 00 00 00 00  00 10 00 00 00 00 00 00  |u...............|
00000120  01 00 00 00 04 00 00 00  00 20 00 00 00 00 00 00  |......... ......|
00000130  00 20 00 00 00 00 00 00  00 20 00 00 00 00 00 00  |. ....... ......|
00000140  f4 00 00 00 00 00 00 00  f4 00 00 00 00 00 00 00  |................|
00000150  00 10 00 00 00 00 00 00  01 00 00 00 06 00 00 00  |................|
00000160  b8 2d 00 00 00 00 00 00  b8 3d 00 00 00 00 00 00  |.-.......=......|
00000170  b8 3d 00 00 00 00 00 00  58 02 00 00 00 00 00 00  |.=......X.......|
00000180  60 02 00 00 00 00 00 00  00 10 00 00 00 00 00 00  |`...............|
00000190  02 00 00 00 06 00 00 00  c8 2d 00 00 00 00 00 00  |.........-......|
000001a0  c8 3d 00 00 00 00 00 00  c8 3d 00 00 00 00 00 00  |.=.......=......|
000001b0  f0 01 00 00 00 00 00 00  f0 01 00 00 00 00 00 00  |................|
000001c0  08 00 00 00 00 00 00 00  04 00 00 00 04 00 00 00  |................|
000001d0  38 03 00 00 00 00 00 00  38 03 00 00 00 00 00 00  |8.......8.......|
000001e0  38 03 00 00 00 00 00 00  30 00 00 00 00 00 00 00  |8.......0.......|
000001f0  30 00 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |0...............|
00000200  04 00 00 00 04 00 00 00  68 03 00 00 00 00 00 00  |........h.......|
00000210  68 03 00 00 00 00 00 00  68 03 00 00 00 00 00 00  |h.......h.......|
00000220  44 00 00 00 00 00 00 00  44 00 00 00 00 00 00 00  |D.......D.......|
00000230  04 00 00 00 00 00 00 00  53 e5 74 64 04 00 00 00  |........S.td....|
00000240  38 03 00 00 00 00 00 00  38 03 00 00 00 00 00 00  |8.......8.......|
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00000270  50 e5 74 64 04 00 00 00  14 20 00 00 00 00 00 00  |P.td..... ......|
00000280  14 20 00 00 00 00 00 00  14 20 00 00 00 00 00 00  |. ....... ......|
00000290  34 00 00 00 00 00 00 00  34 00 00 00 00 00 00 00  |4.......4.......|
000002a0  04 00 00 00 00 00 00 00  51 e5 74 64 06 00 00 00  |........Q.td....|
000002b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000002c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000002d0  00 00 00 00 00 00 00 00  10 00 00 00 00 00 00 00  |................|
000002e0  52 e5 74 64 04 00 00 00  b8 2d 00 00 00 00 00 00  |R.td.....-......|
000002f0  b8 3d 00 00 00 00 00 00  b8 3d 00 00 00 00 00 00  |.=.......=......|
00000300  48 02 00 00 00 00 00 00  48 02 00 00 00 00 00 00  |H.......H.......|
00000310  01 00 00 00 00 00 00 00  2f 6c 69 62 36 34 2f 6c  |......../lib64/l|
00000320  64 2d 6c 69 6e 75 78 2d  78 38 36 2d 36 34 2e 73  |d-linux-x86-64.s|
00000330  6f 2e 32 00 00 00 00 00  04 00 00 00 20 00 00 00  |o.2......... ...|
00000340  05 00 00 00 47 4e 55 00  02 00 00 c0 04 00 00 00  |....GNU.........|
00000350  03 00 00 00 00 00 00 00  02 80 00 c0 04 00 00 00  |................|
00000360  01 00 00 00 00 00 00 00  04 00 00 00 14 00 00 00  |................|
00000370  03 00 00 00 47 4e 55 00  a3 7c 63 bc 9c e7 90 c1  |....GNU..|c.....|
00000380  d8 4a 27 b1 3e 19 f4 c7  50 e5 ce f2 04 00 00 00  |.J'.>...P.......|
00000390  10 00 00 00 01 00 00 00  47 4e 55 00 00 00 00 00  |........GNU.....|
000003a0  03 00 00 00 02 00 00 00  00 00 00 00 00 00 00 00  |................|
000003b0  02 00 00 00 06 00 00 00  01 00 00 00 06 00 00 00  |................|
000003c0  00 00 81 00 00 00 00 00  06 00 00 00 00 00 00 00  |................|
000003d0  d1 65 ce 6d 00 00 00 00  00 00 00 00 00 00 00 00  |.e.m............|
000003e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000003f0  10 00 00 00 12 00 00 00  00 00 00 00 00 00 00 00  |................|
00000400  00 00 00 00 00 00 00 00  48 00 00 00 20 00 00 00  |........H... ...|
00000410  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000420  22 00 00 00 12 00 00 00  00 00 00 00 00 00 00 00  |"...............|
00000430  00 00 00 00 00 00 00 00  64 00 00 00 20 00 00 00  |........d... ...|
00000440  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000450  73 00 00 00 20 00 00 00  00 00 00 00 00 00 00 00  |s... ...........|
00000460  00 00 00 00 00 00 00 00  01 00 00 00 22 00 00 00  |............"...|
00000470  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000480  00 5f 5f 63 78 61 5f 66  69 6e 61 6c 69 7a 65 00  |.__cxa_finalize.|
00000490  5f 5f 6c 69 62 63 5f 73  74 61 72 74 5f 6d 61 69  |__libc_start_mai|
000004a0  6e 00 70 75 74 73 00 6c  69 62 63 2e 73 6f 2e 36  |n.puts.libc.so.6|
000004b0  00 47 4c 49 42 43 5f 32  2e 32 2e 35 00 47 4c 49  |.GLIBC_2.2.5.GLI|
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000004e0  62 6c 65 00 5f 5f 67 6d  6f 6e 5f 73 74 61 72 74  |ble.__gmon_start|
000004f0  5f 5f 00 5f 49 54 4d 5f  72 65 67 69 73 74 65 72  |__._ITM_register|
00000500  54 4d 43 6c 6f 6e 65 54  61 62 6c 65 00 00 00 00  |TMCloneTable....|
00000510  02 00 01 00 03 00 01 00  01 00 03 00 00 00 00 00  |................|
00000520  01 00 02 00 27 00 00 00  10 00 00 00 00 00 00 00  |....'...........|
00000530  75 1a 69 09 00 00 03 00  31 00 00 00 10 00 00 00  |u.i.....1.......|
00000540  b4 91 96 06 00 00 02 00  3d 00 00 00 00 00 00 00  |........=.......|
00000550  b8 3d 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |.=..............|
00000560  40 11 00 00 00 00 00 00  c0 3d 00 00 00 00 00 00  |@........=......|
00000570  08 00 00 00 00 00 00 00  00 11 00 00 00 00 00 00  |................|
00000580  08 40 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |.@..............|
00000590  08 40 00 00 00 00 00 00  d8 3f 00 00 00 00 00 00  |.@.......?......|
000005a0  06 00 00 00 01 00 00 00  00 00 00 00 00 00 00 00  |................|
000005b0  e0 3f 00 00 00 00 00 00  06 00 00 00 02 00 00 00  |.?..............|
000005c0  00 00 00 00 00 00 00 00  e8 3f 00 00 00 00 00 00  |.........?......|
000005d0  06 00 00 00 04 00 00 00  00 00 00 00 00 00 00 00  |................|
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00000600  06 00 00 00 06 00 00 00  00 00 00 00 00 00 00 00  |................|
00000610  d0 3f 00 00 00 00 00 00  07 00 00 00 03 00 00 00  |.?..............|
00000620  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000630  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000640  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000650  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000660  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000670  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000680  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000690  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
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000006d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
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00000700  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
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00000740  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000750  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000760  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000770  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000780  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000790  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000800  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000810  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000820  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000830  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000840  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000850  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000860  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000870  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000880  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000890  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000900  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000910  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000920  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000930  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000940  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000950  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000960  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000970  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000980  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000990  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000aa0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ab0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ac0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
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00000ae0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
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