46 citations · 76 across the 5 of their papers we have counts for
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physics.comp-ph2021★ 46 cited
Normalizing flows for atomic solids
Peter Wirnsberger, George Papamakarios, Borja Ibarz +4
We present a machine-learning approach, based on normalizing flows, for modelling atomic solids. Our model transforms an analytically tractable base distribution into the target so…
cs.LG2021
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
James Martens, Andy Ballard, Guillaume Desjardins +4
Using an extended and formalized version of the Q/C map analysis of Poole et al. (2016), along with Neural Tangent Kernel theory, we identify the main pathologies present in deep n…