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Petrini, Leonardo
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1

How Deep Neural Networks Learn Compositional Data: The Rand..:

Cagnetta, Francesco ; Petrini, Leonardo ; Tomasini, Umberto M...
Physical Review X.  14 (2024)  3 - p. , 2024
Link: https://doi.org/10.1103/..
 
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2

Learning sparse features can lead to overfitting in neural ..:

Petrini, Leonardo ; Cagnetta, Francesco ; Vanden-Eijnden, Eric.
Journal of Statistical Mechanics: Theory and Experiment.  2023 (2023)  11 - p. 114003 , 2023
Link: https://doi.org/10.1088/..
 
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3

How deep convolutional neural networks lose spatial informa..:

Tomasini, Umberto M ; Petrini, Leonardo ; Cagnetta, Francesco.
Machine Learning: Science and Technology.  4 (2023)  4 - p. 045026 , 2023
Link: https://doi.org/10.1088/..
 
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4

Relative stability toward diffeomorphisms indicates perform..:

Petrini, Leonardo ; Favero, Alessandro ; Geiger, Mario.
Journal of Statistical Mechanics: Theory and Experiment.  2022 (2022)  11 - p. 114013 , 2022
Link: https://doi.org/10.1088/..
 
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5

Landscape and training regimes in deep learning:

Geiger, Mario ; Petrini, Leonardo ; Wyart, Matthieu
Physics Reports.  924 (2021)  - p. 1-18 , 2021
Link: https://doi.org/10.1016/..
 
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6

Geometric compression of invariant manifolds in neural netw..:

Paccolat, Jonas ; Petrini, Leonardo ; Geiger, Mario..
Journal of Statistical Mechanics: Theory and Experiment.  2021 (2021)  4 - p. 044001 , 2021
Link: https://doi.org/10.1088/..
 
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7

How Deep Neural Networks Learn Compositional Data: The Rand..:

Cagnetta, Francesco ; Petrini, Leonardo ; Tomasini, Umberto M..
http://arxiv.org/abs/2307.02129.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Breaking the Curse of Dimensionality in Deep Neural Network..:

Petrini, Leonardo
http://arxiv.org/abs/2310.16154.  , 2023
Link: http://arxiv.org/abs/231..
 
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9

How deep convolutional neural networks lose spatial informa..:

Tomasini, Umberto M ; Petrini, Leonardo ; Cagnetta, Francesco.
http://arxiv.org/abs/2210.01506.  , 2022
Link: http://arxiv.org/abs/221..
 
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10

Learning sparse features can lead to overfitting in neural ..:

Petrini, Leonardo ; Cagnetta, Francesco ; Vanden-Eijnden, Eric.
http://arxiv.org/abs/2206.12314.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Relative stability toward diffeomorphisms indicates perform..:

Petrini, Leonardo ; Favero, Alessandro ; Geiger, Mario.
http://arxiv.org/abs/2105.02468.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Perspective: A Phase Diagram for Deep Learning unifying Jam..:

Geiger, Mario ; Petrini, Leonardo ; Wyart, Matthieu
http://arxiv.org/abs/2012.15110.  , 2020
Link: http://arxiv.org/abs/201..
 
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13

Geometric compression of invariant manifolds in neural nets:

Paccolat, Jonas ; Petrini, Leonardo ; Geiger, Mario..
http://arxiv.org/abs/2007.11471.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Machine Learning Methods to Perform Pricing Optimization. A..:

Spedicato, Giorgio Alfredo ; Dutang, Christophe ; Petrini, Leonardo
hal-01942038.  , 2018
Link: https://hal.archives-ouv..
 
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15

Machine Learning Methods to Perform Pricing Optimization. A..:

Spedicato, Giorgio Alfredo ; Dutang, Christophe ; Petrini, Leonardo
hal-01942038.  , 2018
Link: https://hal.science/hal-..
 
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