no code implementations • 11 Mar 2022 • Alex Tong Lin, Adrian S. Wong, Robert Martin, Stanley J. Osher, Daniel Eckhardt
We provide a method to identify system parameters of dynamical systems, called ID-ODE -- Inference by Differentiation and Observing Delay Embeddings.
no code implementations • ICLR 2019 • Alex Tong Lin, Wuchen Li, Stanley Osher, Guido Montufar
We introduce a new method for training generative adversarial networks by applying the Wasserstein-2 metric proximal on the generators.
2 code implementations • 5 Aug 2020 • Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley Osher, Wotao Yin
To bridge this gap, we present a new algorithm that takes samples from the manifold of true data as input and outputs an approximation of the projection operator onto this manifold.
1 code implementation • 24 Feb 2020 • Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
By phrasing the problem in this manner, solving the MFG can be interpreted as a special case of training a generative adversarial network (GAN).
no code implementations • 15 Sep 2019 • Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montufar
We propose regularization strategies for learning discriminative models that are robust to in-class variations of the input data.
no code implementations • 6 Feb 2019 • Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary Hewer, Guido Montufar, Stanley Osher
In order to obtain multi-agents that act in a decentralized manner, we introduce a novel algorithm under the popular framework of centralized training, but decentralized execution.