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Stanley Osher

Researcher at University of California, Los Angeles

Publications -  549
Citations -  112414

Stanley Osher is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Level set method & Computer science. The author has an hindex of 114, co-authored 510 publications receiving 104028 citations. Previous affiliations of Stanley Osher include University of Minnesota & University of Innsbruck.

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Book ChapterDOI

Particle Level Set Method

TL;DR: In this paper, the authors demonstrate the difficulties associated with a Lagrangian calculation of this interface motion by initially seeding some marker particles interior to the interface, as shown in Figure 9.3 and passively advecting them with
Posted Content

A Neural Network Approach for High-Dimensional Optimal Control

TL;DR: In this article, a neural network approach for solving high-dimensional optimal control problems arising in real-time applications is proposed, which yields controls in a feedback form and can therefore handle uncertainties such as perturbations to the system's state.
Book ChapterDOI

Constructing Signed Distance Functions

TL;DR: This chapter is dedicated to numerical techniques for constructing approximate signed distance functions and can be applied to the initial data in order to initialize φ to a signed distance function.
Journal ArticleDOI

Improving Generative Flow Networks with Path Regularization

TL;DR: A novel path regularization method based on optimal transport theory that places prior constraints on the underlying structure of the G FlowNets to help the GFlowNets better discover the latentructure of the target distribution or enhance its ability to explore the environment in the context of active learning.