| 2025 | CVPR | ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models. | Yassir Bendou, Amine Ouasfi, Vincent Gripon, Adnane Boukhayma |
| 2025 | IJCNN | Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. | Jrmy Morlier, Mathieu Lonardon, Vincent Gripon |
| 2025 | ISCAS | Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware. | R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Lonardon, Vincent Gripon, Takahiro Hanyu |
| 2024 | ISCAS | BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. | Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos |
| 2023 | AISTATS | Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. | Yuqing Hu, Stphane Pateux, Vincent Gripon |
| 2023 | ICASSP | Active Learning for Efficient Few-Shot Classification. | Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski |
| 2023 | ICASSP | Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. | Raphal Baena, Lucas Drumetz, Vincent Gripon |
| 2023 | ICASSP | Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. | Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon |
| 2021 | ACSSC | Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? | Myriam Bontonou, Nicolas Farrugia, Vincent Gripon |
| 2021 | ICANN | Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning. | Yuqing Hu, Vincent Gripon, Stphane Pateux |
| 2021 | ICASSP | Towards an Intrinsic Definition of Robustness for a Classifier. | Tho Giraudon, Vincent Gripon, Matthias Lwe, Franck Vermet |
| 2021 | ICIP | Improving Classification Accuracy With Graph Filtering. | Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon |
| 2020 | ICASSP | Deep Geometric Knowledge Distillation with Graphs. | Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega |
| 2020 | ICONIP | GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. | Lyes Khacef, Vincent Gripon, Benot Miramond |
| 2020 | ICPR | Attention Based Pruning for Shift Networks. | Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio |
| 2020 | ICPR | Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification. | Yuqing Hu, Vincent Gripon, Stphane Pateux |
| 2019 | ICANN | Transfer Learning with Sparse Associative Memories. | Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara |
| 2019 | ISCAS | Training Modern Deep Neural Networks for Memory-Fault Robustness. | Ghouthi Boukli Hacene, Franois Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, Franois Gagnon |
| 2018 | ICASSP | Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation. | Vincent Gripon, Ghouthi B. Hacene, Matthias Lwe, Franck Vermet |
| 2018 | ITA | An Inside Look at Deep Neural Networks Using Graph Signal Processing. | Vincent Gripon, Antonio Ortega, Benjamin Girault |
| 2017 | ACSSC | Tropical graph signal processing. | Vincent Gripon |
| 2016 | ICANN | A Neural Network Model for Solving the Feature Correspondence Problem. | Ala Aboudib, Vincent Gripon, Gilles Coppin |
| 2016 | ICANN | Compression of Deep Neural Networks on the Fly. | Guillaume Souli, Vincent Gripon, Malys Robert |
| 2016 | ICASSP | Towards a characterization of the uncertainty curve for graphs. | Bastien Pasdeloup, Vincent Gripon, Grgoire Mercier, Dominique Pastor |
| 2016 | IJCNN | Nearest Neighbour Search using binary neural networks. | Demetrio Ferro, Vincent Gripon, Xiaoran Jiang |
| 2015 | ICASSP | A model of bottom-up visual attention using cortical magnification. | Ala Aboudib, Vincent Gripon, Gilles Coppin |
| 2015 | ISCAS | Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks. | Robin Danilo, Hooman Jarollahi, Vincent Gripon, Philippe Coussy, Laura Conde-Canencia, Warren J. Gross |
| 2014 | AAAI | Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques. | Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frdric Heitzmann |
| 2014 | ICASSP | Cluster-based associative memories built from unreliable storage. | Franois Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross |
| 2014 | ICASSP | Towards a spectral characterization of signals supported on small-world networks. | Michael G. Rabbat, Vincent Gripon |
| 2013 | ICASSP | Reduced-complexity binary-weight-coded associative memories. | Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross |
| 2013 | ISIT | Reconstructing a graph from path traces. | Vincent Gripon, Michael G. Rabbat |
| 2013 | ITW | Maximum likelihood associative memories. | Vincent Gripon, Michael G. Rabbat |
| 2012 | ISCAS | Architecture and implementation of an associative memory using sparse clustered networks. | Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross |
| 2012 | ITA | Nearly-optimal associative memories based on distributed constant weight codes. | Vincent Gripon, Claude Berrou |
| 2012 | ITW | Compressing multisets using tries. | Vincent Gripon, Michael G. Rabbat, Vitaly Skachek, Warren J. Gross |
| 2009 | ICALP | Qualitative Concurrent Stochastic Games with Imperfect Information. | Vincent Gripon, Olivier Serre |