Improving sequential latent variable models with autoregressive flows

DOI10.1007/s10994-021-06092-6OpenAlexW3003871186MaRDI QIDQ2163209

Jia Wei He, Stephan Mandt, Joseph Marino, Lei Chen

Publication date: 10 August 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.03172

zbMATH Keywords

latent variable modelsautoregressive flowssequence modeling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• PMTK
• Adam
• Tensor2Tensor
• NICE
• Glow
• nflows
• nsf
• FloWaveNet
• WaveGlow
• WaveNet

Cites Work

• Covariance estimation: the GLM and regularization perspectives
• Exploratory Projection Pursuit
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