The role of regularization in classification of high-dimensional noisy gaussian mixture F Mignacco, F Krzakala, Y Lu, P Urbani, L Zdeborova International conference on machine learning, 6874-6883, 2020 | 87 | 2020 |
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification F Mignacco, F Krzakala, P Urbani, L Zdeborová Advances in Neural Information Processing Systems 33, 2020 | 75 | 2020 |
The effective noise of stochastic gradient descent F Mignacco, P Urbani Journal of Statistical Mechanics: Theory and Experiment 2022 (8), 083405, 2022 | 38 | 2022 |
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem F Mignacco, P Urbani, L Zdeborová Machine Learning: Science and Technology 2 (3), 035029, 2021 | 36 | 2021 |
Rigorous dynamical mean-field theory for stochastic gradient descent methods C Gerbelot, E Troiani, F Mignacco, F Krzakala, L Zdeborova SIAM Journal on Mathematics of Data Science 6 (2), 400-427, 2024 | 22 | 2024 |
Learning curves for the multi-class teacher–student perceptron E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová Machine Learning: Science and Technology 4 (1), 015019, 2023 | 17 | 2023 |
Forward learning with top-down feedback: Empirical and analytical characterization RF Srinivasan, F Mignacco, M Sorbaro, M Refinetti, A Cooper, G Kreiman, ... arXiv preprint arXiv:2302.05440, 2023 | 10 | 2023 |
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers L Tiberi, F Mignacco, K Irie, H Sompolinsky arXiv preprint arXiv:2405.15926, 2024 | 2 | 2024 |
High-Dimensional Non-Convex Landscapes and Gradient Descent Dynamics T Bonnaire, D Ghio, K Krishnamurthy, F Mignacco, A Yamamura, G Biroli arXiv preprint arXiv:2308.03754, 2023 | 1 | 2023 |
Nonlinear classification of neural manifolds with contextual information F Mignacco, CN Chou, SY Chung arXiv preprint arXiv:2405.06851, 2024 | | 2024 |
Nonlinear classification of neural manifolds with context information: geometrical properties and storage capacity F Mignacco, CN Chou, SY Chung Bulletin of the American Physical Society, 2024 | | 2024 |
Minimax entropy principle and dimensionality reduction in neural data L Di Carlo, F Mignacco, W Bialek Bulletin of the American Physical Society, 2024 | | 2024 |
Statistical physics insights on the dynamics and generalisation of artificial neural networks F Mignacco Université Paris-Saclay, 2022 | | 2022 |
Statistical physics insights on learning in high dimensions F Mignacco APS March Meeting Abstracts 2022, B42. 001, 2022 | | 2022 |
Understanding multi-pass stochastic gradient descent via dynamical mean-field theory F Mignacco APS March Meeting Abstracts 2022, K02. 009, 2022 | | 2022 |
Learning from setbacks: the impact of adversarial initialization on generalization performance K Ravichandran, Y Dandi, S Karp, F Mignacco NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 0 | | |