Optimal experimental design: Formulations and computations

Optimal experimental design: Formulations and computations

23 July 2024

Jayanth Jagalur

Youssef Marzouk

Papers citing "Optimal experimental design: Formulations and computations"

10 / 10 papers shown

Title
Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems Robert Gruhlke Matei Hanu Claudia Schillings Philipp Wacker BDL 44 0 0 17 Apr 2025
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 58 0 0 27 Mar 2025
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping Tianyuan Wang 51 0 0 16 Mar 2025
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design Yasir Zubayr Barlas Kizito Salako 32 0 0 07 Mar 2025
Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 26 0 0 15 Oct 2024
Approximate D-optimal design and equilibrium measure * Didier Henrion Jean Bernard Lasserre 15 1 0 06 Sep 2024
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design Atlanta Chakraborty Xun Huan Tommie A. Catanach 29 3 0 18 Aug 2024
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 41 4 0 02 Aug 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo Shijie Zhong Wanggang Shen Tommie A. Catanach Xun Huan 32 4 0 26 Mar 2024