Tim Sainburg | DeepAI

DeepAI

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research

∙ 10/09/2021

Deep Learning of Potential Outcomes

This review systematizes the emerging literature for causal inference us...

5 Bernard Koch, et al. ∙

research

∙ 09/27/2020

Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning

We propose Parametric UMAP, a parametric variation of the UMAP (Uniform ...

61 Tim Sainburg, et al. ∙

research

∙ 07/17/2018

Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions

We present a neural network architecture based upon the Autoencoder (AE)...

2 Tim Sainburg, et al. ∙