Articles with public access mandates - Stefano SARAO MANNELLILearn more
Available somewhere: 13
Marvels and pitfalls of the langevin algorithm in noisy high-dimensional inference
S Sarao Mannelli, G Biroli, C Cammarota, F Krzakala, P Urbani, ...
Physical Review X 10 (1), 011057, 2020
Mandates: European Commission, Agence Nationale de la Recherche
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
S Sarao Mannelli, E Vanden-Eijnden, L Zdeborová
Advances in Neural Information Processing Systems 33, 13445--13455, 2020
Mandates: US National Science Foundation, European Commission
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
S Sarao Mannelli, F Krzakala, P Urbani, L Zdeborova
International Conference on Machine Learning, 4333-4342, 2019
Mandates: US National Science Foundation, European Commission, Agence Nationale de la …
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
S Sarao Mannelli, G Biroli, C Cammarota, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems, 8676-8686, 2019
Mandates: US National Science Foundation, European Commission, Agence Nationale de la …
Epidemic mitigation by statistical inference from contact tracing data
A Baker, I Biazzo, A Braunstein, G Catania, L Dall’Asta, A Ingrosso, ...
Proceedings of the National Academy of Sciences 118 (32), 2021
Mandates: European Commission, Agence Nationale de la Recherche
Probing transfer learning with a model of synthetic correlated datasets
F Gerace, L Saglietti, S Sarao Mannelli, A Saxe, L Zdeborová
Machine Learning: Science and Technology 3 (1), 2022
Mandates: Wellcome Trust, European Commission, Royal Society UK
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
S Sarao Mannelli, G Biroli, C Cammarota, F Krzakala, P Urbani, ...
Advances in Neural Information Processing Systems 33, 3265--3274, 2020
Mandates: European Commission, Agence Nationale de la Recherche
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
L Saglietti, S Sarao Mannelli, A Saxe
Advances in Neural Information Processing Systems 35 (2022), 21113-21127, 2021
Mandates: Wellcome Trust, European Commission, Royal Society UK
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
S Sarao Mannelli, P Urbani
Advances in Neural Information Processing Systems, 2021, 2021
Mandates: Wellcome Trust, Agence Nationale de la Recherche
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
N Patel, S Lee, SS Mannelli, S Goldt, A Saxe
arXiv preprint arXiv:2306.10404, 2023
Mandates: Wellcome Trust, Royal Society UK
Thresholds of descending algorithms in inference problems
S Sarao Mannelli, L Zdeborova
Journal of Statistical Mechanics: Theory and Experiment 2020 (3), 034004, 2020
Mandates: European Commission
How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up
F Gerace, D Doimo, SS Mannelli, L Saglietti, A Laio
Transactions on Machine Learning Research, 2024
Mandates: Wellcome Trust
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
SS Mannelli, Y Ivashynka, A Saxe, L Saglietti
Forty-first International Conference on Machine Learning, ICML 2024, 2024
Mandates: Wellcome Trust
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