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Stanley Osher

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Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals

Aug 30, 2023
Hong Ye Tan, Stanley Osher, Wuchen Li

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Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme

Nov 30, 2022
Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley Osher, Levon Nurbekyan

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Improving Generative Flow Networks with Path Regularization

Sep 29, 2022
Anh Do, Duy Dinh, Tan Nguyen, Khuong Nguyen, Stanley Osher, Nhat Ho

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Neural ODE Control for Trajectory Approximation of Continuity Equation

May 18, 2022
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea Bertozzi, Stanley Osher

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Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators

Mar 11, 2022
Alex Tong Lin, Daniel Eckhardt, Robert Martin, Stanley Osher, Adrian S. Wong

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How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies

Oct 19, 2021
Bao Wang, Hedi Xia, Tan Nguyen, Stanley Osher

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Learn to Predict Equilibria via Fixed Point Networks

Jun 02, 2021
Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley Osher, Wotao Yin

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Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop

Mar 23, 2021
Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley Osher, Wotao Yin

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Wasserstein Proximal of GANs

Feb 13, 2021
Alex Tong Lin, Wuchen Li, Stanley Osher, Guido Montufar

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Projecting to Manifolds via Unsupervised Learning

Aug 05, 2020
Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley Osher, Wotao Yin

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