From d1eb8763847947d74236f88d1539483f1641e227 Mon Sep 17 00:00:00 2001 From: Miles Cranmer Date: Tue, 19 Nov 2024 21:41:11 +0000 Subject: [PATCH] docs: fix yaml syntax --- docs/papers.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/papers.yml b/docs/papers.yml index d1db8f75..2da1d589 100644 --- a/docs/papers.yml +++ b/docs/papers.yml @@ -245,7 +245,7 @@ papers: abstract: "How can we find interpretable, domain-appropriate models of natural phenomena given some complex, raw data such as images? Can we use such models to derive scientific insight from the data? In this paper, we propose some methods for achieving this. In particular, we implement disentangled representation learning, sparse deep neural network training and symbolic regression, and assess their usefulness in forming interpretable models of complex image data. We demonstrate their relevance to the field of bioimaging using a well-studied test problem of classifying cell states in microscopy data. We find that such methods can produce highly parsimonious models that achieve ~98% of the accuracy of black-box benchmark models, with a tiny fraction of the complexity. We explore the utility of such interpretable models in producing scientific explanations of the underlying biological phenomenon." image: https://raw.githubusercontent.com/MilesCranmer/PySR_Docs/master/images/cell_state_classification.jpg date: 2024-02-05 - - title: SymbolFit: Automatic Parametric Modeling with Symbolic Regression + - title: "SymbolFit: Automatic Parametric Modeling with Symbolic Regression" authors: - Ho Fung Tsoi (1) - Dylan Rankin (1)