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Vincent Gripon

Identifiers

  • name variant Vincent Gripon 0.60 · backfill

Papers (34)

  1. A Unified Deep Learning Formalism For Processing Graph Signals cs.LG · 2019 · author #4
  2. Introducing Graph Smoothness Loss for Training Deep Learning Architectures cs.LG · 2019 · author #4
  3. Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks cs.LG · 2018 · author #2
  4. Transfer Incremental Learning using Data Augmentation cs.CV · 2018 · author #2
  5. Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness cs.LG · 2018 · author #2
  6. Matching Convolutional Neural Networks without Priors about Data cs.LG · 2018 · author #3
  7. Convolutional neural networks on irregular domains based on approximate vertex-domain translations cs.DM · 2017 · author #2
  8. Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation cs.LG · 2017 · author #1
  9. Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise cs.NE · 2017 · author #2
  10. A neighborhood-preserving translation operator on graphs cs.DM · 2017 · author #2
  11. Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs cs.LG · 2017 · author #2
  12. Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction cs.CV · 2017 · author #4
  13. Associative Memories to Accelerate Approximate Nearest Neighbor Search cs.LG · 2016 · author #1
  14. Neighborhood-Preserving Translations on Graphs cs.DM · 2016 · author #4
  15. Generalizing the Convolution Operator to extend CNNs to Irregular Domains cs.LG · 2016 · author #2
  16. Characterization and Inference of Graph Diffusion Processes from Observations of Stationary Signals cs.DS · 2016 · author #2
  17. Graph reconstruction from the observation of diffused signals cs.IT · 2016 · author #3
  18. Towards a characterization of the uncertainty curve for graphs cs.OH · 2016 · author #2
  19. A Comparative Study of Sparse Associative Memories math.PR · 2015 · author #1
  20. Compression of Deep Neural Networks on the Fly cs.LG · 2015 · author #2
  21. Toward An Uncertainty Principle For Weighted Graphs cs.DM · 2015 · author #3
  22. Memory vectors for similarity search in high-dimensional spaces cs.CV · 2014 · author #3
  23. Combating Corrupt Messages in Sparse Clustered Associative Memories cs.NE · 2014 · author #2
  24. Storing sequences in binary tournament-based neural networks cs.NE · 2014 · author #2
  25. Improving Sparse Associative Memories by Escaping from Bogus Fixed Points cs.NE · 2013 · author #2
  26. A study of retrieval algorithms of sparse messages in networks of neural cliques cs.NE · 2013 · author #2
  27. Storing non-uniformly distributed messages in networks of neural cliques cs.NE · 2013 · author #2
  28. A Massively Parallel Associative Memory Based on Sparse Neural Networks cs.AI · 2013 · author #2
  29. A Low-Power Content-Addressable-Memory Based on Clustered-Sparse-Networks cs.AR · 2013 · author #2
  30. Maximum Likelihood Associative Memories cs.IT · 2013 · author #1
  31. Reconstructing a Graph from Path Traces cs.DS · 2013 · author #1
  32. Learning sparse messages in networks of neural cliques cs.NE · 2012 · author #3
  33. Forwarding Without Repeating: Efficient Rumor Spreading in Bounded-Degree Graphs cs.DC · 2012 · author #1
  34. Sparse neural networks with large learning diversity cs.LG · 2011 · author #1

Mentions

  • 1208.4009 #3 · backfill · confidence 0.70 Vincent Gripon
  • 1208.2936 #1 · backfill · confidence 0.70 Vincent Gripon
  • 1102.4240 #1 · backfill · confidence 0.70 Vincent Gripon

Frequent Coauthors