A variational description of the ground state structure in random satisfiability problems - Giulio Biroli; Rémi Monasson; Martin Weigt (CoRR, 1999)

Glasses and Aging, A Statistical Mechanics Perspective on. - Ludovic Berthier; Giulio Biroli (Encyclopedia of Complexity and Systems Science, 2009)

Social Interaction, Noise and Antibiotic-Mediated Switches in the Intestinal Microbiota. - Vanni Bucci; Serena Bradde; Giulio Biroli; João B. Xavier (PLoS Comput. Biol., 2012)

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 (ICML, 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)

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)

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)

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 (NeurIPS, 2019)

Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias. - Stéphane d'Ascoli; Levent Sagun; Giulio Biroli; Joan Bruna (NeurIPS, 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)

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)

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)

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)

Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime. - Stéphane d'Ascoli; Maria Refinetti; Giulio Biroli; Florent Krzakala (ICML, 2020)

Landscape Complexity for the Empirical Risk of Generalized Linear Models. - Antoine Maillard; Gérard Ben Arous; Giulio Biroli (MSML, 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 (NeurIPS, 2020)

An analytic theory of shallow networks dynamics for hinge loss classification. - Franco Pellegrini; Giulio Biroli (NeurIPS, 2020)

Triple descent and the two kinds of overfitting: where & why do they appear? - Stéphane d'Ascoli; Levent Sagun; Giulio Biroli (NeurIPS, 2020)

Complex interactions can create persistent fluctuations in high-diversity ecosystems. - Felix Roy; Matthieu Barbier; Giulio Biroli; Guy Bunin (PLoS Comput. Biol., 2020)

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. - Stéphane d'Ascoli; Hugo Touvron; Matthew L. Leavitt; Ari S. Morcos; Giulio Biroli; Levent Sagun (ICML, 2021)

On the interplay between data structure and loss function in classification problems. - Stéphane d'Ascoli; Marylou Gabrié; Levent Sagun; Giulio Biroli (NeurIPS, 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)

Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? - Franco Pellegrini; Giulio Biroli (CoRR, 2021)

Transformed CNNs: recasting pre-trained convolutional layers with self-attention. - Stéphane d'Ascoli; Levent Sagun; Giulio Biroli; Ari Morcos (CoRR, 2021)

Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks. - Franco Pellegrini; Giulio Biroli (ICML, 2022)

Optimal learning rate schedules in high-dimensional non-convex optimization problems. - Stéphane d'Ascoli; Maria Refinetti; Giulio Biroli (CoRR, 2022)

Wavelet Conditional Renormalization Group. - Tanguy Marchand; Misaki Ozawa; Giulio Biroli; Stéphane Mallat (CoRR, 2022)

On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. - Simon Martin 006; Francis R. Bach; Giulio Biroli (AISTATS, 2024)

Cascade of phase transitions in the training of energy-based models. - Dimitrios Bachtis; Giulio Biroli; Aurélien Decelle; Beatriz Seoane (NeurIPS, 2024)

Dynamical Regimes of Diffusion Models. - Giulio Biroli; Tony Bonnaire; Valentin De Bortoli; Marc Mézard (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)

Kernel Density Estimators in Large Dimensions. - Giulio Biroli; Marc Mézard (CoRR, 2024)

Normalizing flows as an enhanced sampling method for atomistic supercooled liquids. - Gerhard Jung; Giulio Biroli; Ludovic Berthier (Mach. Learn. Sci. Technol., 2024)

A Differentiable Rank-Based Objective for Better Feature Learning. - Krunoslav Lehman Pavasovic; Giulio Biroli; Levent Sagun (ICLR, 2025)

Optimizing Noise Schedules of Generative Models in High Dimensionss. - Santiago Aranguri; Giulio Biroli; Marc Mézard; Eric Vanden-Eijnden (CoRR, 2025)

Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations. - Krunoslav Lehman Pavasovic; Jakob Verbeek; Giulio Biroli; Marc Mézard (CoRR, 2025)

A Differentiable Rank-Based Objective For Better Feature Learning. - Krunoslav Lehman Pavasovic; David Lopez-Paz; Giulio Biroli; Levent Sagun (CoRR, 2025)

Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training. - Tony Bonnaire; Raphaël Urfin; Giulio Biroli; Marc Mézard (CoRR, 2025)