A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Convolution dictionary learning for time-series

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018

Unofficial Python implementation of "Precision and Recall for Time Series".

A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018

Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks

A Neural Compositional Paradigm for Image Captioning

Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments

Source code for the NIPS 2018 paper https://nips.cc/Conferences/2018/Schedule?showEvent=11183

play game with reinforcement learning, game theory