| Sparse Deep Predictive Coding captures contour integration capabilities of the early visual cortex V Boutin, A Franciosini, F Chavane, F Ruffier, L Perrinet PLOS Computational Biology, 2021 | 40 | 2021 |
| A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation T Fel, V Boutin, M Moayeri, R Cadène, L Bethune, M Chalvidal, T Serre Advances in Neural Information Processing Systems 36, 2023 | 19 | 2023 |
| Effect of top-down connections in Hierarchical Sparse Coding V Boutin, A Franciosini, F Ruffier, L Perrinet Neural Computation 32 (1), 2279 - 2309, 2020 | 15 | 2020 |
| A robust event-driven approach to always-on object recognition A Grimaldi, V Boutin, SH Ieng, R Benosman, LU Perrinet Neural Networks, 106415, 2024 | 12 | 2024 |
| Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization T Fel, T Boissin, V Boutin, A Picard, P Novello, J Colin, D Linsley, ... Advances in Neural Information Processing Systems 36, 2023 | 10 | 2023 |
| Iterative VAE as a predictive brain model for out-of-distribution generalization V Boutin, A Zerroug, M Jung, T Serre Workshops at Neural and Information Processing Systems 34, 2020 | 10 | 2020 |
| Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? V Boutin, T Fel, L Singhal, R Mukherji, A Nagaraj, J Colin, T Serre Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 9 | 2023 |
| A homeostatic gain control mechanism to improve event-driven object recognition A Grimaldi, V Boutin, L Perrinet, SH Ieng, R Benosman 2021 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2021 | 9 | 2021 |
| Pooling strategies in V1 can account for the functional and structural diversity across species V Boutin, A Franciosini, F Chavane, LU Perrinet PLOS Computational Biology 18 (7), e1010270, 2022 | 6* | 2022 |
| Diversity vs. Recognizability: Human-like generalization in one-shot generative models V Boutin, L Singhal, X Thomas, T Serre Advances in Neural Information Processing Systems 35, 20933--20946, 2022 | 6 | 2022 |
| M2APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation J Dupeyroux, V Boutin, JR Serres, LU Perrinet, S Viollet 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2018 | 6 | 2018 |
| Modelling complex cells of early visual cortex using predictive coding A Franciosini, V Boutin, L Perrinet 28th Annual Computational Neuroscience Meeting, 2019 | 3 | 2019 |
| Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks V Boutin, R Mukherji, A Agrawal, S Muzellec, T Fel, T Serre, R VanRullen arXiv preprint arXiv:2406.06079, 2024 | | 2024 |
| Saliency Strikes Back: How Filtering out High Frequencies Improves White-Box Explanations S Muzellec, T Fel, V Boutin, L Andeol, T Fel, R VanRullen, T Serre Proceedings of the 41st International Conference on Machine Learning, arXiv …, 2024 | | 2024 |
| From biological vision to unsupervised hierarchical sparse coding V Boutin, A Franciosini, F Ruffier, L Perrinet Itwist 2018, 2018 | | 2018 |
| A robust bio-inspired approach to event-driven object recognition A Grimaldi, V Boutin, SH Ieng, L Perrinet, R Benosman | | |
| Workshop on Emerging Visual sensors V Boutin | | |
| An adaptive homeostatic algorithm for the unsupervised learning of visual features V Boutin, A Franciosini, L Perrinet | | |
Laurent PerrinetINT (UMR 7289) / CNRS - Aix-Marseille UniversitéVerified email at univ-amu.fr
