Search Results for author: Kjetil O. Lye

Found 3 papers, 3 papers with code

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

4 code implementations13 Aug 2020 Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar

We present a novel active learning algorithm, termed as iterative surrogate model optimization (ISMO), for robust and efficient numerical approximation of PDE constrained optimization problems.

Active Learning Model Optimization

A Multi-level procedure for enhancing accuracy of machine learning algorithms

1 code implementation20 Sep 2019 Kjetil O. Lye, Siddhartha Mishra, Roberto Molinaro

We propose a multi-level method to increase the accuracy of machine learning algorithms for approximating observables in scientific computing, particularly those that arise in systems modeled by differential equations.

BIG-bench Machine Learning Uncertainty Quantification

Deep learning observables in computational fluid dynamics

3 code implementations7 Mar 2019 Kjetil O. Lye, Siddhartha Mishra, Deep Ray

Under the assumption that the underlying neural networks generalize well, we prove that the deep learning MC and QMC algorithms are guaranteed to be faster than the baseline (quasi-) Monte Carlo methods.

Efficient Neural Network Uncertainty Quantification

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