Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks

3 April 2024

Papers citing "Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks"

5 / 5 papers shown

Title
Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators Gregory M. Campbell Gentian Muhaxheri Leonardo Ferreira Guilhoto Christian D. Santangelo P. Perdikaris James H. Pikul Mark H. Yim 33 0 0 01 Apr 2025
Improved architectures and training algorithms for deep operator networks Sifan Wang Hanwen Wang P. Perdikaris AI4CE 42 104 0 04 Oct 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,281 0 18 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015