932 citations · 2.2k across the 38 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cond-mat.dis-nn2016★ 10 cited
Comment on "Why does deep and cheap learning work so well?" [arXiv:1608.08225]
David J. Schwab, Pankaj Mehta
In a recent paper, "Why does deep and cheap learning work so well?", Lin and Tegmark claim to show that the mapping between deep belief networks and the variational renormalization…
stat.ML2016★ 97 cited
Supervised Learning with Quantum-Inspired Tensor Networks
E. Miles Stoudenmire, David J. Schwab
Tensor networks are efficient representations of high-dimensional tensors which have been very successful for physics and mathematics applications. We demonstrate how algorithms fo…
q-bio.NC2016
The deterministic information bottleneck
DJ Strouse, David J Schwab
Lossy compression and clustering fundamentally involve a decision about what features are relevant and which are not. The information bottleneck method (IB) by Tishby, Pereira, and…