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cond-mat.stat-mech2018★ 37 cited
Visualizing probabilistic models: Intensive Principal Component Analysis
Katherine N. Quinn, Colin B. Clement, Francesco De Bernardis +2
Unsupervised learning makes manifest the underlying structure of data without curated training and specific problem definitions. However, the inference of relationships between dat…
cond-mat.stat-mech2017
Visualizing theory space: Isometric embedding of probabilistic predictions, from the Ising model to the cosmic microwave background
Katherine N. Quinn, Francesco De Bernardis, Michael D. Niemack +1
We develop an intensive embedding for visualizing the space of all predictions for probabalistic models, using replica theory. Our embedding is isometric (preserves the distinguish…