DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Composite bayesian optimization in function spaces ising NEON—Neural Epistemic Operator Networks

Journal Article · · Scientific Reports

Not Available

Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0024563
OSTI ID:
2478742
Journal Information:
Scientific Reports, Journal Name: Scientific Reports Journal Issue: 1 Vol. 14; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United Kingdom
Language:
English

References (23)

Bayesian Neural Networks: An Introduction and Survey book January 2020
Kriging Is Well-Suited to Parallelize Optimization book January 2010
On the limited memory BFGS method for large scale optimization journal August 1989
Improved Architectures and Training Algorithms for Deep Operator Networks journal June 2022
Scalable uncertainty quantification for deep operator networks using randomized priors journal September 2022
Scalable Bayesian optimization with randomized prior networks journal December 2023
Neural operator prediction of linear instability waves in high-speed boundary layers journal February 2023
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons journal March 2023
Dermatologist-level classification of skin cancer with deep neural networks journal January 2017
Array programming with NumPy journal September 2020
SciPy 1.0: fundamental algorithms for scientific computing in Python journal February 2020
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators journal March 2021
Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems journal July 1995
Optimizing Coverage and Capacity in Cellular Networks using Machine Learning conference June 2021
Matplotlib: A 2D Graphics Environment journal January 2007
Learning the solution operator of parametric partial differential equations with physics-informed DeepONets journal October 2021
MIONet: Learning Multiple-Input Operators via Tensor Product journal November 2022
Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation journal June 2008
py-pde: A Python package for solving partial differential equations journal April 2020
Bayesian Active Learning for Classification and Preference Learning preprint January 2011
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles preprint January 2016
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning preprint January 2019
Gaussian Processes for Machine Learning book January 2005

Similar Records

Related Subjects