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 | 59 | 2020 |
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 | 53 | 2019 |
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 | 50 | 2020 |
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 | 44 | 2019 |
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 | 30 | 2021 |
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 | 28 | 2020 |
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 | 24 | 2022 |
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 | 20 | 2021 |
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 | 17* | 2021 |
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation S Lee, S Sarao Mannelli, C Clopath, S Goldt, A Saxe ICML 2022, 12455-12477, 2022 | 10 | 2022 |
Thresholds of descending algorithms in inference problems S Sarao Mannelli, L Zdeborova Journal of Statistical Mechanics: Theory and Experiment 2020 (3), 034004, 2020 | 8 | 2020 |
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 | 4* | 2023 |
Bias-inducing geometries: exactly solvable data model with fairness implications S Sarao Mannelli, F Gerace, N Rostamzadeh, L Saglietti arXiv preprint arXiv:2205.15935, 2022 | 3* | 2022 |
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning JH Lee, S Sarao Mannelli, A Saxe arXiv preprint arXiv:2402.18361, 2024 | 2 | 2024 |
Optimal transfer protocol by incremental layer defrosting F Gerace, D Doimo, SS Mannelli, L Saglietti, A Laio arXiv preprint arXiv:2303.01429, 2023 | 1 | 2023 |
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks SS Mannelli, Y Ivashinka, A Saxe, L Saglietti arXiv preprint arXiv:2406.01589, 2024 | | 2024 |
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training A Jain, R Nobahari, A Baratin, SS Mannelli arXiv preprint arXiv:2405.18296, 2024 | | 2024 |
A meta-learning framework for rationalizing cognitive fatigue in neural systems Y Li, R Carrasco-Davis, Y Strittmatter, S Sarao Mannelli, S Musslick Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |