Giulio Biroli

According to our database, Giulio Biroli authored at least 33 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Normalizing flows as an enhanced sampling method for atomistic supercooled liquids.

Gerhard Jung, Giulio Biroli, Ludovic Berthier

Mach. Learn. Sci. Technol., 2024

Kernel Density Estimators in Large Dimensions.

Giulio Biroli, Marc Mézard

CoRR, 2024

Cascade of phase transitions in the training of Energy-based models.

Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane

CoRR, 2024

From Zero to Hero: How local curvature at artless initial conditions leads away from bad minima.

Tony Bonnaire, Giulio Biroli, Chiara Cammarota

CoRR, 2024

Dynamical Regimes of Diffusion Models.

Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard

CoRR, 2024

On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions.

Simon Martin, Francis Bach, Giulio Biroli

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Wavelet Conditional Renormalization Group.

Tanguy Marchand, Misaki Ozawa, Giulio Biroli, Stéphane Mallat

CoRR, 2022

Optimal learning rate schedules in high-dimensional non-convex optimization problems.

Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli

CoRR, 2022

Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks.

Franco Pellegrini, Giulio Biroli

Proceedings of the International Conference on Machine Learning, 2022

2021

Transformed CNNs: recasting pre-trained convolutional layers with self-attention.

Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Ari Morcos

CoRR, 2021

Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?

Franco Pellegrini, Giulio Biroli

CoRR, 2021

More data or more parameters? Investigating the effect of data structure on generalization.

Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli

CoRR, 2021

On the interplay between data structure and loss function in classification problems.

Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases.

Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Complex interactions can create persistent fluctuations in high-diversity ecosystems.

Felix Roy, Matthieu Barbier, Giulio Biroli, Guy Bunin

PLoS Comput. Biol., 2020

Triple descent and the two kinds of overfitting: where & why do they appear?

Stéphane d'Ascoli, Levent Sagun, Giulio Biroli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An analytic theory of shallow networks dynamics for hinge loss classification.

Franco Pellegrini, Giulio Biroli

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.

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Landscape Complexity for the Empirical Risk of Generalized Linear Models.

Antoine Maillard, Gérard Ben Arous, Giulio Biroli

Proceedings of Mathematical and Scientific Machine Learning, 2020

Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime.

Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model.

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová

CoRR, 2019

Attractive vs. truncated repulsive supercooled liquids : dynamics is encoded in the pair correlation function.

François P. Landes, Giulio Biroli, Olivier Dauchot, Andrea J. Liu, David R. Reichman

CoRR, 2019

How to iron out rough landscapes and get optimal performances: Replicated Gradient Descent and its application to tensor PCA.

Giulio Biroli, Chiara Cammarota, Federico Ricci-Tersenghi

CoRR, 2019

Scaling description of generalization with number of parameters in deep learning.

Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel, Levent Sagun, Stéphane d'Ascoli, Giulio Biroli, Clément Hongler, Matthieu Wyart

CoRR, 2019

Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias.

Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models.

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference.

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

CoRR, 2018

A jamming transition from under- to over-parametrization affects loss landscape and generalization.

Stefano Spigler, Mario Geiger, Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Matthieu Wyart

CoRR, 2018

The jamming transition as a paradigm to understand the loss landscape of deep neural networks.

Mario Geiger, Stefano Spigler, Stéphane d'Ascoli, Levent Sagun, Marco Baity-Jesi, Giulio Biroli, Matthieu Wyart

CoRR, 2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems.

Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gérard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli

Proceedings of the 35th International Conference on Machine Learning, 2018

2012

Social Interaction, Noise and Antibiotic-Mediated Switches in the Intestinal Microbiota.

Vanni Bucci, Serena Bradde, Giulio Biroli, João B. Xavier

PLoS Comput. Biol., 2012

2009

Glasses and Aging, A Statistical Mechanics Perspective on.

Ludovic Berthier, Giulio Biroli

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

1999

A variational description of the ground state structure in random satisfiability problems

Giulio Biroli, Rémi Monasson, Martin Weigt

CoRR, 1999