Wavelet score-based generative modeling F Guth, S Coste, V De Bortoli, S Mallat Advances in Neural Information Processing Systems 35, 478-491, 2022 | 40 | 2022 |
Generalization in diffusion models arises from geometry-adaptive harmonic representation Z Kadkhodaie, F Guth, EP Simoncelli, S Mallat arXiv preprint arXiv:2310.02557, 2023 | 30 | 2023 |
Separation and concentration in deep networks J Zarka, F Guth, S Mallat arXiv preprint arXiv:2012.10424, 2020 | 30 | 2020 |
Phase collapse in neural networks F Guth, J Zarka, S Mallat arXiv preprint arXiv:2110.05283, 2021 | 10 | 2021 |
Learning multi-scale local conditional probability models of images Z Kadkhodaie, F Guth, S Mallat, EP Simoncelli arXiv preprint arXiv:2303.02984, 2023 | 9 | 2023 |
Specification mining for smart contracts with automatic abstraction tuning F Guth, V Wüstholz, M Christakis, P Müller arXiv preprint arXiv:1807.07822, 2018 | 8 | 2018 |
A rainbow in deep network black boxes F Guth, B Ménard, G Rochette, S Mallat arXiv preprint arXiv:2305.18512, 2023 | 7 | 2023 |
Conditionally strongly log-concave generative models F Guth, E Lempereur, J Bruna, S Mallat International Conference on Machine Learning, 12224-12251, 2023 | 1 | 2023 |
On the universality of neural encodings in CNNs F Guth, B Ménard ICLR 2024 Workshop on Representational Alignment, 2024 | | 2024 |
On the universality of neural codes in vision F Guth, B Ménard UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |