Adjoint-compatible surrogates approximate the expected information gain for optimal experimental design in controlled ODE systems, remaining competitive in Gaussian regimes and beneficial for non-Gaussian priors.
Numerical Methods for Experimental De- sign of Large-Scale Linear Ill-Posed Inverse Problems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Adjoint-Compatible Surrogates of the Expected Information Gain for Optimal Experimental Design
Adjoint-compatible surrogates approximate the expected information gain for optimal experimental design in controlled ODE systems, remaining competitive in Gaussian regimes and beneficial for non-Gaussian priors.