Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3116668
Abstract: Deep generative models are a class of techniques that train deep neural networks to model the distribution of training samples. Research has fragmented into various interconnected approaches, each of which make trade-offs including run-time, diversity,… read more here.
Keywords: energy based; deep generative; autoregressive models; generative modelling ... See more keywords
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23101281
Abstract: Generative modelling is an important unsupervised task in machine learning. In this work, we study a hybrid quantum-classical approach to this task, based on the use of a quantum circuit born machine. In particular, we… read more here.
Keywords: machine; generative modelling; quantum; locality ... See more keywords