Marvels and Pitfalls of the Langevin Algorithm in Noisy High-Dimensional Inference von Sarao Mannelli, Stefano, Biroli, Giulio, Cammarota, Chiara, Krzakala, Florent, Urbani, Pierfrancesco, Zdeborová, Lenka

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Probing transfer learning with a model of synthetic correlated datasets von Gerace, Federica, Saglietti, Luca, Sarao Mannelli, Stefano, Saxe, Andrew, Zdeborová, Lenka

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Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks von Sarao Mannelli, Stefano, Ivashynka, Yaraslau, Saxe, Andrew, Saglietti, Luca

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Epidemic mitigation by statistical inference from contact tracing data von Baker, Antoine, Biazzo, Indaco, Braunstein, Alfredo, Catania, Giovanni, Dall’Asta, Luca, Ingrosso, Alessandro, Krzakala, Florent, Mazza, Fabio, Mézard, Marc, Muntoni, Anna Paola, Refinetti, Maria, Mannelli, Stefano Sarao, Zdeborová, Lenka

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Thresholds of descending algorithms in inference problems von Sarao Mannelli, Stefano, Zdeborová, Lenka

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An analytical theory of curriculum learning in teacher–student networks This article was also accepted in NeurIPS2022 Proceedings von Saglietti, Luca, Mannelli, Stefano Sarao, Saxe, Andrew

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An analytical theory of curriculum learning in teacher-student networks von Saglietti, Luca, Mannelli, Stefano Sarao, Saxe, Andrew

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An Analytical Theory of Curriculum Learning in Teacher-Student Networks von Saglietti, Luca, Stefano Sarao Mannelli, Saxe, Andrew

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Probing transfer learning with a model of synthetic correlated datasets von Gerace, Federica, Saglietti, Luca, Stefano Sarao Mannelli, Saxe, Andrew, Zdeborová, Lenka

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Thresholds of descending algorithms in inference problems von Stefano Sarao Mannelli, Zdeborova, Lenka

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Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference von Stefano Sarao Mannelli, Biroli, Giulio, Cammarota, Chiara, Krzakala, Florent, Urbani, Pierfrancesco, Zdeborová, Lenka

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Epidemic mitigation by statistical inference from contact tracing data von Baker, Antoine, Biazzo, Indaco, Braunstein, Alfredo, Catania, Giovanni, Dall'Asta, Luca, Ingrosso, Alessandro, Krzakala, Florent, Mazza, Fabio, Mézard, Marc, Muntoni, Anna Paola, Refinetti, Maria, Stefano Sarao Mannelli, Zdeborová, Lenka

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Optimal Protocols for Continual Learning via Statistical Physics and Control Theory von Mori, Francesco, Mannelli, Stefano Sarao, Mignacco, Francesca

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Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems von Sarao Mannelli, Stefano, Urbani, Pierfrancesco

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Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks von Mannelli, Stefano Sarao, Ivashynka, Yaraslau, Saxe, Andrew, Saglietti, Luca

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Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training von Jain, Anchit, Nobahari, Rozhin, Baratin, Aristide, Mannelli, Stefano Sarao

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Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems von Mannelli, Stefano Sarao, Urbani, Pierfrancesco

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Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning von Lee, Jin Hwa, Mannelli, Stefano Sarao, Saxe, Andrew

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Winning the competition: enhancing counter-contagion in SIS-like epidemic processes von Kalogeratos, Argyris, Mannelli, Stefano Sarao

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An Analytical Theory of Curriculum Learning in Teacher-Student Networks von Saglietti, Luca, Mannelli, Stefano Sarao, Saxe, Andrew M

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