The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
MJ Colbrook, V Antun… - Proceedings of the …, 2022 - National Acad Sciences
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
MJ Colbrook, V Antun, AC Hansen - … Academy of Sciences of the United …, 2022 - duo.uio.no
Significance Instability is the Achilles' heel of modern artificial intelligence (AI) and a
paradox, with training algorithms finding unstable neural networks (NNs) despite the …
paradox, with training algorithms finding unstable neural networks (NNs) despite the …
[PDF][PDF] The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
MJ Colbrooka, V Antunb, AC Hansena - pdfs.semanticscholar.org
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.
MJ Colbrook, V Antun, AC Hansen - … of the United States of America, 2022 - europepmc.org
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
[HTML][HTML] The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
MJ Colbrook, V Antun, AC Hansen - Proceedings of the National …, 2022 - ncbi.nlm.nih.gov
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
[PDF][PDF] CAN STABLE AND ACCURATE NEURAL NETWORKS BE COMPUTED?–ON THE BARRIERS OF DEEP LEARNING AND SMALE'S 18TH PROBLEM
V ANTUN, MJ COLBROOK, AC HANSEN - researchgate.net
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, DL suffers from a universal phenomenon: instability …
computing with full force. However, DL suffers from a universal phenomenon: instability …
[PDF][PDF] CAN STABLE AND ACCURATE NEURAL NETWORKS BE COMPUTED?–ON THE BARRIERS OF DEEP LEARNING AND SMALE'S 18TH PROBLEM
MJ COLBROOK, V ANTUN… - arXiv preprint arXiv …, 2021 - datascienceassn.org
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
Can stable and accurate neural networks be computed?--On the barriers of deep learning and Smale's 18th problem
MJ Colbrook, V Antun, AC Hansen - arXiv preprint arXiv:2101.08286, 2021 - arxiv.org
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.
MJ Colbrook, V Antun, AC Hansen - 2022 - repository.cam.ac.uk
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
MJ Colbrook, V Antun… - Proceedings of the …, 2022 - pubmed.ncbi.nlm.nih.gov
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …