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Separation of scales and a thermodynamic description of feature learning in some CNNs
by
Seroussi, Inbar
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Naveh, Gadi
,
Ringel, Zohar
Published in
Nature communications
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Predicting the outputs of finite deep neural networks trained with noisy gradients
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Naveh, Gadi
,
Ben David, Oded
,
Sompolinsky, Haim
,
Ringel, Zohar
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Physical review. E
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A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
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Naveh, Gadi
,
Ringel, Zohar
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arXiv.org
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Predicting the outputs of finite deep neural networks trained with noisy gradients
by
Naveh, Gadi
,
Ben-David, Oded
,
Sompolinsky, Haim
,
Ringel, Zohar
Published in
arXiv.org
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Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
by
Inbar Seroussi
,
Naveh, Gadi
,
Ringel, Zohar
Published in
arXiv.org
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