Giulio Biroli - RankMe

51 papers A* 12A 1Journal 36Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kernel Density Estimators in Large Dimensions. SIAM J. Math. Data Sci. Giulio Biroli, Marc Mézard
2026	J	`jnl`	Theory of Speciation Transitions in Diffusion Models with General Class Structure. CoRR Beatrice Achilli, Marco Benedetti, Giulio Biroli, Marc Mézard
2026	J	`jnl`	Topological Exploration of High-Dimensional Empirical Risk Landscapes: general approach, and applications to phase retrieval. CoRR Antoine Maillard, Tony Bonnaire, Giulio Biroli
2025	J	`jnl`	A Differentiable Rank-Based Objective For Better Feature Learning. CoRR Krunoslav Lehman Pavasovic, David Lopez-Paz, Giulio Biroli, Levent Sagun
2025	A*	`conf`	A Differentiable Rank-Based Objective for Better Feature Learning. ICLR Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun
2025	J	`jnl`	Optimizing Noise Schedules of Generative Models in High Dimensionss. CoRR Santiago Aranguri, Giulio Biroli, Marc Mézard, Eric Vanden-Eijnden
2025	J	`jnl`	Riemannian Stochastic Interpolants for Amorphous Particle Systems. CoRR Louis Grenioux, Leonardo Galliano, Ludovic Berthier, Giulio Biroli, Marylou Gabrié
2025	J	`jnl`	Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations. CoRR Krunoslav Lehman Pavasovic, Jakob Verbeek, Giulio Biroli, Marc Mézard
2025	J	`jnl`	Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training. CoRR Tony Bonnaire, Raphaël Urfin, Giulio Biroli, Marc Mézard
2024	J	`jnl`	Cascade of phase transitions in the training of Energy-based models. CoRR Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
2024	A*	`conf`	Cascade of phase transitions in the training of energy-based models. NeurIPS Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
2024	J	`jnl`	Dynamical Regimes of Diffusion Models. CoRR Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard
2024	J	`jnl`	From Zero to Hero: How local curvature at artless initial conditions leads away from bad minima. CoRR Tony Bonnaire, Giulio Biroli, Chiara Cammarota
2024	J	`jnl`	Kernel Density Estimators in Large Dimensions. CoRR Giulio Biroli, Marc Mézard
2024	J	`jnl`	Normalizing flows as an enhanced sampling method for atomistic supercooled liquids. Mach. Learn. Sci. Technol. Gerhard Jung, Giulio Biroli, Ludovic Berthier
2024	A	`conf`	On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. AISTATS Simon Martin, Francis R. Bach, Giulio Biroli
2022	A*	`conf`	Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks. ICML Franco Pellegrini, Giulio Biroli
2022	J	`jnl`	Optimal learning rate schedules in high-dimensional non-convex optimization problems. CoRR Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli
2022	J	`jnl`	Wavelet Conditional Renormalization Group. CoRR Tanguy Marchand, Misaki Ozawa, Giulio Biroli, Stéphane Mallat
2021	A*	`conf`	ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. ICML Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun
2021	J	`jnl`	ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. CoRR Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun
2021	J	`jnl`	More data or more parameters? Investigating the effect of data structure on generalization. CoRR Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli
2021	A*	`conf`	On the interplay between data structure and loss function in classification problems. NeurIPS Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli
2021	J	`jnl`	Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? CoRR Franco Pellegrini, Giulio Biroli
2021	J	`jnl`	Transformed CNNs: recasting pre-trained convolutional layers with self-attention. CoRR Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Ari Morcos
2020	A*	`conf`	An analytic theory of shallow networks dynamics for hinge loss classification. NeurIPS Franco Pellegrini, Giulio Biroli
2020	J	`jnl`	An analytic theory of shallow networks dynamics for hinge loss classification. CoRR Franco Pellegrini, Giulio Biroli
2020	A*	`conf`	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. NeurIPS Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2020	J	`jnl`	Complex interactions can create persistent fluctuations in high-diversity ecosystems. PLoS Comput. Biol. Felix Roy, Matthieu Barbier, Giulio Biroli, Guy Bunin
2020	J	`jnl`	Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime. CoRR Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala
2020	A*	`conf`	Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime. ICML Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala
2020	—	`conf`	Landscape Complexity for the Empirical Risk of Generalized Linear Models. MSML Antoine Maillard, Gérard Ben Arous, Giulio Biroli
2020	J	`jnl`	Triple descent and the two kinds of overfitting: Where & why do they appear? CoRR Stéphane d'Ascoli, Levent Sagun, Giulio Biroli
2020	A*	`conf`	Triple descent and the two kinds of overfitting: where & why do they appear? NeurIPS Stéphane d'Ascoli, Levent Sagun, Giulio Biroli
2019	J	`jnl`	Attractive vs. truncated repulsive supercooled liquids : dynamics is encoded in the pair correlation function. CoRR François P. Landes, Giulio Biroli, Olivier Dauchot, Andrea J. Liu, David R. Reichman
2019	A*	`conf`	Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias. NeurIPS Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Joan Bruna
2019	J	`jnl`	Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias. CoRR Stéphane d'Ascoli, Levent Sagun, Joan Bruna, Giulio Biroli
2019	J	`jnl`	How to iron out rough landscapes and get optimal performances: Replicated Gradient Descent and its application to tensor PCA. CoRR Giulio Biroli, Chiara Cammarota, Federico Ricci-Tersenghi
2019	J	`jnl`	Landscape Complexity for the Empirical Risk of Generalized Linear Models. CoRR Antoine Maillard, Gérard Ben Arous, Giulio Biroli
2019	J	`jnl`	Scaling description of generalization with number of parameters in deep learning. CoRR Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel, Levent Sagun, Stéphane d'Ascoli, Giulio Biroli, Clément Hongler, Matthieu Wyart
2019	J	`jnl`	Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová
2019	A*	`conf`	Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models. NeurIPS Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Lenka Zdeborová
2018	J	`jnl`	A jamming transition from under- to over-parametrization affects loss landscape and generalization. CoRR Stefano Spigler, Mario Geiger, Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Matthieu Wyart
2018	A*	`conf`	Comparing Dynamics: Deep Neural Networks versus Glassy Systems. ICML Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gérard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli
2018	J	`jnl`	Comparing Dynamics: Deep Neural Networks versus Glassy Systems. CoRR Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gérard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli
2018	J	`jnl`	Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. CoRR Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
2018	J	`jnl`	The jamming transition as a paradigm to understand the loss landscape of deep neural networks. CoRR Mario Geiger, Stefano Spigler, Stéphane d'Ascoli, Levent Sagun, Marco Baity-Jesi, Giulio Biroli, Matthieu Wyart
2012	J	`jnl`	Social Interaction, Noise and Antibiotic-Mediated Switches in the Intestinal Microbiota. PLoS Comput. Biol. Vanni Bucci, Serena Bradde, Giulio Biroli, João B. Xavier
2009	—	`ch.`	Glasses and Aging, A Statistical Mechanics Perspective on. Encyclopedia of Complexity and Systems Science Ludovic Berthier, Giulio Biroli
1999	J	`jnl`	A variational description of the ground state structure in random satisfiability problems CoRR Giulio Biroli, Rémi Monasson, Martin Weigt