Francesco Cagnetta

About Francesco Cagnetta

Francesco Cagnetta, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of nonequilibrium statistical mechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model

Feature learning and overfitting in neural networks

Statistical Mechanics of Infinitely-Wide Convolutional Networks

How deep convolutional neural networks lose spatial information with training

Kernels, Data & Physics

Renormalization group study of the dynamics of active membranes: Universality classes and scaling laws

Universal properties of active membranes

Learning sparse features can lead to overfitting in neural networks

Francesco Cagnetta Information

University

Position

Collaborateur scientifique (EPFL)

Citations(all)

202

Citations(since 2020)

191

Cited By

102

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Francesco Cagnetta Skills & Research Interests

nonequilibrium statistical mechanics

Top articles of Francesco Cagnetta

Title

Journal

Author(s)

Publication Date

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model

arXiv e-prints

Francesco Cagnetta

Leonardo Petrini

Umberto M Tomasini

Alessandro Favero

Matthieu Wyart

2023/7

Feature learning and overfitting in neural networks

Bulletin of the American Physical Society

Francesco Cagnetta

2023/3/6

Statistical Mechanics of Infinitely-Wide Convolutional Networks

Bulletin of the American Physical Society

Alessandro Favero

Francesco Cagnetta

Matthieu Wyart

2023/3/6

How deep convolutional neural networks lose spatial information with training

Machine Learning: Science and Technology

Umberto M Tomasini

Leonardo Petrini

Francesco Cagnetta

Matthieu Wyart

2023/11/9

Kernels, Data & Physics

arXiv preprint arXiv:2307.02693

Francesco Cagnetta

Deborah Oliveira

Mahalakshmi Sabanayagam

Nikolaos Tsilivis

Julia Kempe

2023/7/5

Renormalization group study of the dynamics of active membranes: Universality classes and scaling laws

Physical Review E

Francesco Cagnetta

Viktor Škultéty

Martin R Evans

Davide Marenduzzo

2022/1/27

Universal properties of active membranes

Physical Review E

Francesco Cagnetta

Viktor Škultéty

Martin R Evans

Davide Marenduzzo

2022/1/27

Learning sparse features can lead to overfitting in neural networks

Journal of Statistical Mechanics: Theory and Experiment

Leonardo Petrini

Francesco Cagnetta

Eric Vanden-Eijnden

Matthieu Wyart

2023/11/15

What can be learnt with wide convolutional neural networks?

International Conference on Machine Learning, 2023

Francesco Cagnetta

Alessandro Favero

Matthieu Wyart

2022/8/1

Work fluctuations in the active Ornstein–Uhlenbeck particle model

Journal of Statistical Mechanics: Theory and Experiment

Massimiliano Semeraro

Antonio Suma

Isabella Petrelli

Francesco Cagnetta

Giuseppe Gonnella

2021/12/23

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios

Advances in Neural Information Processing Systems

Alessandro Favero

Francesco Cagnetta

Matthieu Wyart

2021/12/6

Active interfaces, a universal approach

Francesco Cagnetta

2020/6/25

Nonequilibrium Strategy for Fast Target Search on the Genome

Physical Review Letters

F Cagnetta

Davide Michieletto

Davide Marenduzzo

2020/5/12

Kinetic roughening in active interfaces

EPJ Web of Conferences

Francesco Cagnetta

Martin R Evans

Davide Marenduzzo

2020/3/11

Efficiency of one-dimensional active transport conditioned on motility

Physical Review E

F Cagnetta

E Mallmin

2020/2/26

Work fluctuations of self-propelled particles in the phase separated state

Journal of Physics A: Mathematical and Theoretical

Pietro Chiarantoni

Francesco Cagnetta

Federico Corberi

Giuseppe Gonnella

Antonio Suma

2020/8/14

See List of Professors in Francesco Cagnetta University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 53
Stefano Ruffo

Stefano Ruffo

Scuola Internazionale Superiore di Studi Avanzati

H-index: 4
Alessandro Favero

Alessandro Favero

École Polytechnique Fédérale de Lausanne

H-index: 4
Leonardo Petrini

Leonardo Petrini

École Polytechnique Fédérale de Lausanne

H-index: 4
Pietro Chiarantoni

Pietro Chiarantoni

Scuola Internazionale Superiore di Studi Avanzati

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