Flow系の論文たち

NICE: Non-linear Independent Components Estimation (2014) URL
MADE: Masked Autoencoder for Distribution Estimation (2015) URL
Variational Inference with Normalizing Flows (2015) URL
NADE: Neural Autoregressive Density Estimator (2016) URL
Real NVP : Real-valued non-volume preserving transformations (2016) URL
IAF: Inverse Autoregressive Flow (2016) URL
Density estimation using Real NVP (2017) URL
MAF: Masked Autoregressive Flow (2017) URL
NAF: Neural Autoregressive Flows (2018) URL
Glow: Generative Flow with Invertible 1x1 Convolutions (2018) URL
MintNet : Building Invertible Neural Networks with Masked Convolutions (2019) URL

Sylvester Normalizing Flows for Variational Inference (2018) URL
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models (2018) URL

WaveGlow: A Flow-based Generative Network for Speech Synthesis (2018) URL
FloWaveNet: A Generative Flow for Raw Audio (2018) URL
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion (2019) URL