Stefano Sarao Mannelli
Orcid: 0000-0002-7008-8832
According to our database1,
Stefano Sarao Mannelli
authored at least 23 papers
between 2018 and 2024.
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Online presence:
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Bibliography
2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
CoRR, 2023
2022
Mach. Learn. Sci. Technol., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem.
CoRR, 2021
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver.
CoRR, 2020
CoRR, 2020
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model.
CoRR, 2019
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model.
CoRR, 2019
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
CoRR, 2018