130 citations · 345 across the 38 of their papers we have counts for
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cs.LG2025
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms
Sina Mohammad-Taheri, Matthew J. Colbrook, Simone Brugiapaglia
Gradient-based learning imposes (deep) neural networks to be differentiable at all steps. This includes model-based architectures constructed by unrolling iterations of an iterativ…
cs.LG2021★ 130 cited
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem
Matthew J. Colbrook, Vegard Antun, Anders C. Hansen
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 when…