Published in , 2021
This paper is about using generative modelling to solve inverse problems
Recommended citation: ML Ang Using Deep Generative Priors For Inverse Problems And Bayesian Optimisation 2021 Ang_Ming_Liang_Jonathan_Scarlett_report (2).pdf
Published in , 2021
This paper is about extending my friend Joel Chang work to entropic bandits for a class
Recommended citation: Ang, Ming Liang, Eloise YY Lim, and Joel QL Chang. "Thompson Sampling for Gaussian Entropic Risk Bandits." arXiv preprint arXiv:2105.06960 (2021). https://arxiv.org/abs/2105.06960
Published in International Conference on Learning Representations (ICLR), 2021
This paper is about refining samples from deep generative models using discriminator gradient flows.
Recommended citation: A.F.Ansari, M.L.Ang, and H.Soh. Refining deep generative models via discriminator gradient flow.In International Conference on Learning Representations, 2021. https://arxiv.org/abs/2012.00780
Published in , 2020
This report is a survey on natural gradients
Recommended citation: M.L.Ang Natural Gradients, 2021 http://neoanarika.github.io/files/MA4270_Project___Natural_Gradients.pdf