S
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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Journal Article
Finite difference methods for the nonlinear equations of perturbed geometrical optics
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Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme
TL;DR: JKO-Flow as discussed by the authors is an algorithm to solve OT-based continuous normalizing flows without the need of tuning, which is achieved by integrating the OT CNF framework into a Wasserstein gradient flow framework.
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A convex model and L1 minimization for musical noise reduction in blind source separation
TL;DR: An efficient musical noise reduction method is presented based on a convex model of time-domain sparse filters that can be used as a post-processing tool for more general and recent versions of TF domain BSS methods as well.
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A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method
TL;DR: In this article , an easy-to-implement iterative method for resolving the implicit (or semi-implicit) schemes arising in solving reaction-diffusion (RD) type equations is proposed.
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Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators
TL;DR: This work first delay-embedding the time series into a higher dimension to obtain a proper ordinary differential equation (ODE), and then having a neural network learn to predict future time-steps of the trajectory given the present time-step to get a gradient in parameter space.