68 citations · 166 across the 15 of their papers we have counts for
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cond-mat.stat-mech2023★ 2 cited
Multi-Relevance: Coexisting but Distinct Notions of Scale in Large Systems
Adam G. Kline, Stephanie E. Palmer
Renormalization group (RG) methods are emerging as tools in biology and computer science to support the search for simplifying structure in distributions over high-dimensional spac…
cond-mat.stat-mech2021
Gaussian Information Bottleneck and the Non-Perturbative Renormalization Group
Adam G. Kline, Stephanie E. Palmer
The renormalization group (RG) is a class of theoretical techniques used to explain the collective physics of interacting, many-body systems. It has been suggested that the RG form…
cond-mat.stat-mech2020★ 2 cited
What makes it possible to learn probability distributions in the natural world?
William Bialek, Stephanie E. Palmer, David J. Schwab
Organisms and algorithms learn probability distributions from previous observations, either over evolutionary time or on the fly. In the absence of regularities, estimating the und…