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07/05/2023
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model
Learning generic high-dimensional tasks is notably hard, as it requires ...
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10/04/2022
How deep convolutional neural networks lose spatial information with training
A central question of machine learning is how deep nets manage to learn ...
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06/24/2022
Learning sparse features can lead to overfitting in neural networks
It is widely believed that the success of deep networks lies in their ab...
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05/06/2021
Relative stability toward diffeomorphisms in deep nets indicates performance
Understanding why deep nets can classify data in large dimensions remain...
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12/30/2020
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training
Deep learning algorithms are responsible for a technological revolution ...
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07/22/2020