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 | 19 | 2019 |
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 | 18 | 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 | 13* | 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 | 4* | 2020 |
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 | 3* | 2020 |
Thresholds of descending algorithms in inference problems S Sarao Mannelli, L Zdeborova Journal of Statistical Mechanics: Theory and Experiment 2020 (3), 034004, 2020 | 1 | 2020 |
Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem S Sarao Mannelli, P Urbani arXiv e-prints, arXiv: 2102.11755, 2021 | | 2021 |
Epidemic mitigation by statistical inference from contact tracing data A Baker, I Biazzo, A Braunstein, G Catania, L Dall'Asta, A Ingrosso, ... arXiv preprint arXiv:2009.09422, 2020 | | 2020 |