| Counterfactuals uncover the modular structure of deep generative models M Besserve, A Mehrjou, R Sun, B Schölkopf International Conference on Learning Representations 2020, 2020 | 102 | 2020 |
| MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks A Rame*, R Sun*, M Cord International Conference on Computer Vision 2021, 2021 | 62 | 2021 |
| A theory of independent mechanisms for extrapolation in generative models M Besserve, R Sun, D Janzing, B Schölkopf AAAI 2021, 2021 | 21 | 2021 |
| KS (conf): A light-weight test if a ConvNet operates outside of its specifications R Sun, CH Lampert Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019 | 8 | 2019 |
| Ks (conf): a light-weight test if a multiclass classifier operates outside of its specifications R Sun, CH Lampert International Journal of Computer Vision 128 (4), 970-995, 2020 | 6 | 2020 |
| Towards efficient feature sharing in MIMO architectures R Sun, A Ramé, C Masson, N Thome, M Cord 5th workshop on Efficient Deep Learning for Computer Vision at CVPR 2022, 2022 | 5 | 2022 |
| Intrinsic disentanglement: an invariance view for deep generative models M Besserve, R Sun, B Schölkopf ICML 2018 Workshop on Theoretical Foundations and Applications of Deep …, 2018 | 4 | 2018 |
| Swapping Semantic Contents for Mixing Images R Sun, C Masson, G Hénaff, N Thome, M Cord International Conference on Pattern Recognition 2022, 2022 | 3 | 2022 |
| Exploring the road graph in trajectory forecasting for autonomous driving R Sun, D Lingrand, F Precioso Proceedings of the IEEE/CVF International Conference on Computer Vision, 71-80, 2023 | 2 | 2023 |
| Adapting Multi-Input Multi-Output schemes to Vision Transformers R Sun, C Masson, N Thome, M Cord CVPR 2022 Workshop on Attention and Transformers for Vision (T4V), 2022 | 2 | 2022 |
| Apprentissage profond et acquisition de représentations latentes de séquences peptidiques S Rémy ENS Rennes, 2016 | 2* | 2016 |
| Semantic augmentation by mixing contents for semi-supervised learning R Sun, C Masson, G Hénaff, N Thome, M Cord Pattern Recognition 145, 109909, 2024 | | 2024 |
| Mind the map! Accounting for existing map information when estimating online HDMaps from sensor data R Sun, L Yang, D Lingrand, F Precioso arXiv preprint arXiv:2311.10517, 2023 | | 2023 |
| Content combination strategies for Image Classification R Sun Sorbonne Université, 2022 | | 2022 |
| Reconciling feature sharing and multiple predictions with MIMO Vision Transformers R Sun, C Masson, N THOME, M Cord | | 2022 |
| KS (conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications (10.1007/s11263-019-01232-x, 2019) R Sun, CH Lampert INTERNATIONAL JOURNAL OF COMPUTER VISION 128 (4), 996-996, 2020 | | 2020 |
| Transfer Learning par extraction de features dans un CNN N Thome, M Cord | | |
| Réseaux convolutionnels pour l’image N Thome, R Sun, C Dancette, M Cord | | |
| Visualisation des réseaux de neurones N Thome, M Cord | | |
| Generative Adversarial Networks N Thome, M Cord | | |
Matthieu CordProfessor Sorbonne University / Scientific Director valeo.aiVerified email at sorbonne-universite.fr
