Pierfrancesco Beneventano

According to our database, Pierfrancesco Beneventano authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Do Deep Networks Forget Initialization? A Forgetting-Time View of Practical Inductive Bias.

Mohua Das, Pierfrancesco Beneventano, Shibshankar Dey, Gareth H. McKinkey, Tomaso A. Poggio

CoRR, May, 2026

Does Weight Decay Enhance Training Stability?

Marius Saether, Amir Kolic, Tomaso A. Poggio, Pierfrancesco Beneventano

CoRR, May, 2026

Agentic Systems as Boosting Weak Reasoning Models.

Varun Sunkaraneni, Pierfrancesco Beneventano, Riccardo Neumarker, Tomaso A. Poggio, Tomer Galanti

CoRR, May, 2026

Distribution-Aware Algorithm Design with LLM Agents.

Saharsh Koganti, Priyadarsi Mishra, Pierfrancesco Beneventano, Tomer Galanti

CoRR, May, 2026

pAI/MSc: ML Theory Research with Humans on the Loop.

Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso A. Poggio

CoRR, April, 2026

Too Sharp, Too Sure: When Calibration Follows Curvature.

Alessandro Morosini, Matea Gjika, Tomaso A. Poggio, Pierfrancesco Beneventano

CoRR, April, 2026

Momentum Further Constrains Sharpness at the Edge of Stochastic Stability.

Arseniy Andreyev, Advikar Ananthkumar, Marc Walden, Tomaso A. Poggio, Pierfrancesco Beneventano

CoRR, April, 2026

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure.

Federico Bottino, Carlo Ferrero, Nicholas Dosio, Pierfrancesco Beneventano

CoRR, April, 2026

Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series.

Federico Vittorio Cortesi, Giuseppe Iannone, Giulia Crippa, Tomaso A. Poggio, Pierfrancesco Beneventano

CoRR, March, 2026

Does SGD Seek Flatness or Sharpness? An Exactly Solvable Model.

Yizhou Xu, Pierfrancesco Beneventano, Isaac L. Chuang, Liu Ziyin

CoRR, February, 2026

2025

Gradient Descent Converges Linearly to Flatter Minima than Gradient Flow in Shallow Linear Networks.

Pierfrancesco Beneventano, Blake Woodworth

CoRR, January, 2025

2024

Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD.

Arseniy Andreyev, Pierfrancesco Beneventano

CoRR, 2024

How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD.

Pierfrancesco Beneventano, Andrea Pinto, Tomaso A. Poggio

CoRR, 2024

2023

On the Trajectories of SGD Without Replacement.

Pierfrancesco Beneventano

CoRR, 2023

2021

Deep neural network approximation theory for high-dimensional functions.

Pierfrancesco Beneventano, Patrick Cheridito, Robin Graeber, Arnulf Jentzen, Benno Kuckuck

CoRR, 2021

2020

High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations.

Pierfrancesco Beneventano, Patrick Cheridito, Arnulf Jentzen, Philippe von Wurstemberger

CoRR, 2020