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Differential geometry with extreme eigenvalues in the positive semidefinite cone
Differential geometric approaches to the analysis and processing of data in the form of symmetric positive definite (SPD) matrices have had notable successful applications to numerous fields including computer vision, medical imaging, and machine learning.
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
In this paper, we study the identification and estimation of long-term treatment effects when both experimental and observational data are available.
Node-wise monotone barrier coupling law for formation control
We study a node-wise monotone barrier coupling law, motivated by the synaptic coupling of neural central pattern generators.
Fast Regression of the Tritium Breeding Ratio in Fusion Reactors
The tritium breeding ratio (TBR) is an essential quantity for the design of modern and next-generation D-T fueled nuclear fusion reactors.
Least-Informative Priors for $0νββ$ Decay Searches
Bayesian parameter inference techniques require a choice of prior distribution which can strongly impact the statistical conclusions drawn.
High Energy Physics - Phenomenology
