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Diederik P. Kingma

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Understanding the Diffusion Objective as a Weighted Integral of ELBOs

Mar 01, 2023
Diederik P. Kingma, Ruiqi Gao

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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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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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On Linear Identifiability of Learned Representations

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

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