Paper Summary

NVAE: A Deep Hierarchical Variational Autoencoder

This post is based on a paper "NVAE: A Deep Hierarchical Variational Autoencoder" by Arash Vahdat and Jan Kautz at NeurIPS 2020.

Pixel Recurrent Neural Networks

This post is based on a paper "Recurrent Pixel Neural Networks" by Oord et al. at ICML 2016.

SchNet: A Continuous-filter convolutional neural network for modeling quantum interactions

This post is based on a paper "SchNet: A Continuous-filter convolutional neural network for modeling quantum interactions" by Kristof T. Schütt, Klaus-Robert Müller at NeurIPS 2017.

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

This post is based on a paper "Bayesian Deep Learning and a Probabilistic Perspective of Generalization" by Andrew Gordon Wilson and Pavel Izmailov at NeurIPS 2020.

Concrete Dropout

This post is based on a paper "Concrete Dropout" by Yarin Gal, Jiri Horn, and Alex Kendall at NeurIPS 2017.