Generic predictions of output probability based on complexities of inputs and outputs
Dingle, K
Pérez, G
Louis, A
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doi:10.48550/arxiv.1910.00971
From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics
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Weiß, M
(02 Feb 2020)
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Is SGD a Bayesian sampler? Well, almost
Mingard, C
Valle-Pérez, G
Skalse, J
Louis, A
(26 Jun 2020)
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Generalization bounds for deep learning
Valle-Pérez, G
Louis, A
(07 Dec 2020)
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Do deep neural networks have an inbuilt Occam's razor?
Mingard, C
Rees, H
Valle-Pérez, G
Louis, A
(13 Apr 2023)
doi:10.48550/arxiv.2304.06670
Exploring simplicity bias in 1D dynamical systems
Dingle, K
Alaskandarani, M
Hamzi, B
Louis, A
(13 Feb 2024)
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An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
Nam, Y
Fonseca, N
Lee, S
Mingard, C
Louis, A
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doi:10.48550/arxiv.2404.17563
Exploiting the equivalence between quantum neural networks and perceptrons
Mingard, C
Pointing, J
London, C
Nam, Y
Louis, A
(05 Jul 2024)
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Visualising Feature Learning in Deep Neural Networks by Diagonalizing the Forward Feature Map
Nam, Y
Mingard, C
Lee, S
Hayou, S
Louis, A
(05 Oct 2024)
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