| 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 | 58 | 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 | 56 | 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 | 47 | 2019 |
| 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 | 36 | 2022 |
| 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 | 35 | 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 | 32 | 2020 |
| 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 | 28 | 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 | 15 | 2022 |
| 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 | 10* | 2023 |
| 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 |
| Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning JH Lee, S Sarao Mannelli, A Saxe Forty-first International Conference on Machine Learning, ICML 2024, 2024 | 6 | 2024 |
| 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 | 6* | 2022 |
| 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 | 3 | 2024 |
| Optimal Protocols for Continual Learning via Statistical Physics and Control Theory F Mori, SS Mannelli, F Mignacco arXiv preprint arXiv:2409.18061, 2024 | 1 | 2024 |
| 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 | 1* | 2024 |
| 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 | | 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 |
| A Theory of Initialisation's Impact on Specialisation D Jarvis, S Lee, CCJ Dominé, AM Saxe, SS Mannelli NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning, 0 | | |
Lenka ZdeborováEPFL, SwitzerlandEmail verificata su epfl.ch
