
Can stable and accurate neural networks be computed? – On the barriers of deep learning and Smale's 18th problem
Deep learning (DL) has had unprecedented success and is now entering sci...
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The troublesome kernel: why deep learning for inverse problems is typically unstable
There is overwhelming empirical evidence that Deep Learning (DL) leads t...
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What do AI algorithms actually learn?  On false structures in deep learning
There are two big unsolved mathematical questions in artificial intellig...
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Uniform recovery in infinitedimensional compressed sensing and applications to structured binary sampling
Infinitedimensional compressed sensing deals with the recovery of analo...
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On instabilities of deep learning in image reconstruction  Does AI come at a cost?
Deep learning, due to its unprecedented success in tasks such as image c...
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Vegard Antun
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