Antonio Sclocchi

According to our database, Antonio Sclocchi authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models.

Alessandro Favero, Antonio Sclocchi, Matthieu Wyart

CoRR, May, 2025

Scaling Laws and Representation Learning in Simple Hierarchical Languages: Transformers vs. Convolutional Architectures.

Francesco Cagnetta, Alessandro Favero, Antonio Sclocchi, Matthieu Wyart

CoRR, May, 2025

How compositional generalization and creativity improve as diffusion models are trained.

Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard, Matthieu Wyart

CoRR, February, 2025

Probing the Latent Hierarchical Structure of Data via Diffusion Models.

Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data.

Antonio Sclocchi, Alessandro Favero, Matthieu Wyart

CoRR, 2024

2023

On the different regimes of Stochastic Gradient Descent.

Antonio Sclocchi, Matthieu Wyart

CoRR, 2023

Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning.

Antonio Sclocchi, Mario Geiger, Matthieu Wyart

Proceedings of the International Conference on Machine Learning, 2023

2022

Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data.

Umberto M. Tomasini, Antonio Sclocchi, Matthieu Wyart

CoRR, 2022

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data.

Umberto M. Tomasini, Antonio Sclocchi, Matthieu Wyart

Proceedings of the International Conference on Machine Learning, 2022