Score-based generative modelsdisclaimer: most of the context in this blog is taken from this paper: score-based generative models through stochastic differential…Sep 20, 2022Sep 20, 2022
Introducing latent variables into Dynamical system to customize the sequence generationApr 22, 2020Apr 22, 2020
Summary of the recurrent latent variable model: VRNNIn this article we will be focusing on some insights of the paper presented by Junyoung et all:Apr 1, 2020Apr 1, 2020
Sequence generation with RNN and REINFORCE (part two)As a continuation of the previous article, this one focus on the the following paper:May 31, 2019May 31, 2019
Sequence generation with RNN and REINFORCEThis article will be a summary of the take-home message from the following two papers:May 29, 20191May 29, 20191
From Git-Virgin to Git-ProI was using Git for some time, only the most simple features to backup my code. As the Git got me in trouble at the last minute of my…Jan 29, 2019Jan 29, 2019
Policy Gradients and Log Derivative TrickThis article will give a high-level picture for those who want to use Reinforcement tricks to solve their ML models but also don’t want to…Sep 16, 2018Sep 16, 2018
How to get a better posterior approximation(Shakir Mohamed’s talk in Nips 2016)Aug 19, 2018Aug 19, 2018
Short summary of Tamara’s Variational Bayes tutorial in ICML2018In probabilistic models, we are often interested in posterior distribution, i.e., p(parameter|data), or p(z|data). Bayesian inference…Jul 23, 20181Jul 23, 20181
