This repository contains jupyter-notebooks that refer to my paper summaries.
For the sake of clarity, the notebooks only consist of coding cells.
- Auto-Encoding Variational Bayes
- by Kingma and Welling (2013)
- appeared in ICLR 2014
- Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
- by Watters et al. (2019)
- work by Deepmind
- U-Net: Convolutional Networks for Biomedical Image Segmentation
- Spatial Transformer Networks
- by Jaderberg et al. (2015), work by Deepmind
- appeared in NeurIPS 2015
- Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
- by Eslami et al. (2016), work by Deepmind
- appeared in NeurIPS 2016
- Importance Weighted Autoencoders
- by Burda et al. (2016)
- appeared in ICLR 2016
- The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
- by Maddison et al. (2016), , work by Deepmind
- appeared in ICLR 2017