43 citations · 62 across the 4 of their papers we have counts for
4 papers
American postdoctoral salaries do not account for growing disparities in cost of living
Tim Sainburg
The National Institute of Health (NIH) sets postdoctoral (postdoc) trainee stipend levels that many American institutions and investigators use as a basis for postdoc salaries. Alt…
A Primer on Deep Learning for Causal Inference
Bernard Koch, Tim Sainburg, Pablo Geraldo +3
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on ho…
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg, Leland McInnes, Timothy Q Gentner
UMAP is a non-parametric graph-based dimensionality reduction algorithm using applied Riemannian geometry and algebraic topology to find low-dimensional embeddings of structured da…
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
Tim Sainburg, Marvin Thielk, Brad Theilman +2
We present a neural network architecture based upon the Autoencoder (AE) and Generative Adversarial Network (GAN) that promotes a convex latent distribution by training adversarial…