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hep-lat2024
Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression
Benjamin J. Choi, Hiroshi Ohno, Takayuki Sumimoto +1
We present our preliminary results on the machine learning estimation of from other observables with the gradient boosting decision tree regression, where …
hep-lat2024
Sparse modeling study to extract spectral functions from lattice QCD data
Junichi Takahashi, Hiroshi Ohno, Akio Tomiya
We present spectral functions extracted from Euclidean-time correlation functions by using sparse modeling. Sparse modeling is a method that solves inverse problems by considering…