Kingma, Diederik

7 publications

CVPR 2023 On Distillation of Guided Diffusion Models Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

NeurIPS 2023 Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik Kingma, Ruiqi Gao

NeurIPS 2021 Variational Diffusion Models Diederik Kingma, Tim Salimans, Ben Poole, Jonathan Ho

NeurIPS 2020 ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes Khemakhem, Ricardo Monti, Diederik Kingma, Aapo Hyvarinen

AISTATS 2020 Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem, Diederik Kingma, Ricardo Monti, Aapo Hyvarinen

ICML 2015 Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans, Diederik Kingma, Max Welling

ICML 2014 Efficient Gradient-Based Inference Through Transformations Between Bayes Nets and Neural Nets Diederik Kingma, Max Welling