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Pieter Abbeel — most-cited papers & profile · Generative Models
← authors
·
overview
Pieter Abbeel
208
papers ·
32082
citations ·
125
h-index
Berkeley College · Baird Institute · University of California, Berkeley
Google Scholar ↗
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Most-cited papers
Denoising Diffusion Probabilistic Models
2020 · 5652 citations
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
2016 · 1248 citations
Variational Lossy Autoencoder
2016 · 257 citations
Stochastic Adversarial Video Prediction
2018 · 226 citations
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
2019 · 190 citations
Hybrid Discriminative-Generative Training via Contrastive Learning
2020 · 23 citations
Compression with Flows via Local Bits-Back Coding
2019 · 21 citations
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
2022 · 3 citations
One Step Diffusion via Shortcut Models
2024 · 2 citations
Top co-authors
Yan Duan
· 3
Ilya Sutskever
· 2
John Schulman
· 2
Jonathan Ho
· 2
Sergey Levine
· 2
Ajay Jain
· 1
Ajay Jain
· 1
Alex X. Lee
· 1
Amber Xie
· 1
Aravind Srinivas
· 1
Chelsea Finn
· 1
Danijar Hafner
· 1
Topics
Training & Sampling
Diffusion Models
GANs
cs.LG
stat.ML
cs.IT
eess.SP
math.IT
Text-to-Image
Text-to-Video