Search Results for author: Björn Engquist

Found 4 papers, 0 papers with code

Adaptive State-Dependent Diffusion for Derivative-Free Optimization

no code implementations8 Feb 2023 Björn Engquist, Kui Ren, Yunan Yang

This paper develops and analyzes a stochastic derivative-free optimization strategy.

Neural Inverse Operators for Solving PDE Inverse Problems

no code implementations26 Jan 2023 Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra

A large class of inverse problems for PDEs are only well-defined as mappings from operators to functions.

Operator learning

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

no code implementations12 Apr 2022 Björn Engquist, Kui Ren, Yunan Yang

We propose a new gradient descent algorithm with added stochastic terms for finding the global optimizers of nonconvex optimization problems.

A Generalized Weighted Optimization Method for Computational Learning and Inversion

no code implementations ICLR 2022 Björn Engquist, Kui Ren, Yunan Yang

The generalization capacity of various machine learning models exhibits different phenomena in the under- and over-parameterized regimes.


Cannot find the paper you are looking for? You can Submit a new open access paper.