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Approximating Wasserstein distances with PyTorch - Daniel Daza

dfdazac.github.io

· Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon. "Learning Embeddings into Entropic Wasserstein Spaces." ICLR (2019). Tags: deep learning, optimal transport, pytorch, sinkhorn, wasserstein. Updated: February 26, Share on Twitter Facebook LinkedIn Previous Next. You may also enjoy. Transforming distributions with Normalizing Flows 11 minute read What are normalizing …

Journal of Machine Learning Research

www.jmlr.org

Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon; (56):1−46, Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan; (57):1−64, Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach ...

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