| On the Inductive Bias of Neural Tangent Kernels A Bietti, J Mairal Advances in Neural Information Processing Systems (NeurIPS), 2019 | 267 | 2019 |
| A Contextual Bandit Bake-off A Bietti, A Agarwal, J Langford Journal of Machine Learning Research 22 (133), 1-49, 2021 | 134 | 2021 |
| Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations A Bietti, J Mairal Journal of Machine Learning Research 20 (25), 1-49, 2019 | 113 | 2019 |
| A Kernel Perspective for Regularizing Deep Neural Networks A Bietti, G Mialon, D Chen, J Mairal International Conference on Machine Learning (ICML), 2019 | 95* | 2019 |
| Convergence and Stability of Graph Convolutional Networks on Large Random Graphs N Keriven, A Bietti, S Vaiter Advances in Neural Information Processing Systems (NeurIPS), 2020 | 85 | 2020 |
| Deep Equals Shallow for ReLU Networks in Kernel Regimes A Bietti, F Bach International Conference on Learning Representations (ICLR), 2021 | 83 | 2021 |
| Learning Single-Index Models with Shallow Neural Networks A Bietti, J Bruna, C Sanford, MJ Song Advances in Neural Information Processing Systems (NeurIPS), 2022 | 62 | 2022 |
| When does return-conditioned supervised learning work for offline reinforcement learning? D Brandfonbrener, A Bietti, J Buckman, R Laroche, J Bruna Advances in Neural Information Processing Systems (NeurIPS), 2022 | 60 | 2022 |
| On the Sample Complexity of Learning under Invariance and Geometric Stability A Bietti, L Venturi, J Bruna Advances in Neural Information Processing Systems (NeurIPS), 2021 | 51* | 2021 |
| Invariance and Stability of Deep Convolutional Representations A Bietti, J Mairal Advances in Neural Information Processing Systems (NIPS), 2017 | 44 | 2017 |
| Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure A Bietti, J Mairal Advances in Neural Information Processing Systems (NIPS), 2017 | 38 | 2017 |
| Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A Bietti, CY Wei, M Dudik, J Langford, S Wu International Conference on Machine Learning (ICML), 2022 | 36* | 2022 |
| Birth of a Transformer: A Memory Viewpoint A Bietti, V Cabannes, D Bouchacourt, H Jegou, L Bottou Advances in Neural Information Processing Systems (NeurIPS), 2023 | 35 | 2023 |
| An online EM algorithm in hidden (semi-) Markov models for audio segmentation and clustering A Bietti, F Bach, A Cont IEEE International Conference on Acoustics, Speech and Signal Processing …, 2015 | 32 | 2015 |
| On the Universality of Graph Neural Networks on Large Random Graphs N Keriven, A Bietti, S Vaiter Advances in Neural Information Processing Systems (NeurIPS), 2021 | 27 | 2021 |
| The SSL Interplay: Augmentations, Inductive Bias, and Generalization V Cabannes, BT Kiani, R Balestriero, Y LeCun, A Bietti International Conference on Machine Learning (ICML), 2023 | 22 | 2023 |
| Approximation and Learning with Deep Convolutional Models: a Kernel Perspective A Bietti International Conference on Learning Representations (ICLR), 2022 | 22 | 2022 |
| Active learning for object detection on satellite images A Bietti Technical report, Technical report, Caltech, 2012 | 21 | 2012 |
| On Learning Gaussian Multi-index Models with Gradient Flow A Bietti, J Bruna, L Pillaud-Vivien arXiv preprint arXiv:2310.19793, 2023 | 17 | 2023 |
| xVal: A Continuous Number Encoding for Large Language Models S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, ... arXiv preprint arXiv:2310.02989, 2023 | 15 | 2023 |
Julien MairalInria - Univ. Grenoble AlpesVerified email at inria.fr
