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On Distillation of Guided Diffusion Models


Oct 06, 2022
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

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Imagen Video: High Definition Video Generation with Diffusion Models


Oct 05, 2022
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans

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* See accompanying website: https://imagen.research.google/video/ 

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Variational Diffusion Models


Jul 12, 2021
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho

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How to Train Your Energy-Based Models


Jan 09, 2021
Yang Song, Diederik P. Kingma

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Learning Energy-Based Models by Diffusion Recovery Likelihood


Dec 15, 2020
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma

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Score-Based Generative Modeling through Stochastic Differential Equations


Nov 26, 2020
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

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Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis


Nov 06, 2020
Ron J. Weiss, RJ Skerry-Ryan, Eric Battenberg, Soroosh Mariooryad, Diederik P. Kingma

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* 5 pages, 2 figures. submitted to ICASSP 2020 

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On Linear Identifiability of Learned Representations


Jul 08, 2020
Geoffrey Roeder, Luke Metz, Diederik P. Kingma

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