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Diederik P. Kingma — most-cited papers & profile · Generative Models
← authors
·
overview
Diederik P. Kingma
11
papers ·
2416
citations ·
29
h-index
Google (United States)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Imagen Video: High Definition Video Generation with Diffusion Models
2022 · 346 citations
Variational Diffusion Models
2021 · 282 citations
Variational Lossy Autoencoder
2016 · 257 citations
Improving Variational Inference with Inverse Autoregressive Flow
2016 · 186 citations
Glow: Generative Flow with Invertible 1x1 Convolutions
2018 · 179 citations
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
2019 · 130 citations
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
2017 · 75 citations
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
2023 · 12 citations
On Distillation of Guided Diffusion Models
2022 · 9 citations
Top co-authors
Tim Salimans
· 6
Ruiqi Gao
· 3
Ben Poole
· 2
Ilya Sutskever
· 2
Jonathan Ho
· 2
Prafulla Dhariwal
· 2
Aapo Hyv\"arinen
· 1
Alexey Gritsenko
· 1
Andrej Karpathy
· 1
Chenlin Meng
· 1
Chitwan Saharia
· 1
David J. Fleet
· 1
Topics
Training & Sampling
Diffusion Models
stat.ML
cs.IT
eess.SP
Conditioning & Control
Audio Generation
Text-to-Image
math.NA
math.IT