Constraining the Parameters of High-Dimensional Models with Active Learning

19 May 2019

Papers citing "Constraining the Parameters of High-Dimensional Models with Active Learning"

5 / 5 papers shown

Title
Exploration of Parameter Spaces Assisted by Machine Learning A. Hammad Myeonghun Park Raymundo Ramos Pankaj Saha 16 15 0 20 Jul 2022
Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations K. A. Rocha J. Andrews C. Berry Zoheyr Doctor Aggelos K. Katsaggelos ... T. Fragos K. Kovlakas D. Misra Zepei Xing E. Zapartas 8 6 0 30 Mar 2022
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 27 178 0 02 Feb 2021
Bayesian Neural Networks for Fast SUSY Predictions B. Kronheim M. Kuchera Harrison B. Prosper A. Karbo 6 17 0 09 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015