Diederik Kingma
7 papers · 2014–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
variational inference
(3)
diffusion model
(3)
nonlinear ica
(2)
representation learning
(1)
data augmentation
(1)
transfer learning
(1)
image generation
(1)
bayesian inference
(1)
knowledge distillation
(1)
model distillation
(1)
gaussian noise
(1)
markov chain monte carlo
(1)
maximum likelihood
(1)
posterior inference
(1)
posterior approximation
(1)
independent component analysis
(1)
gradient-based inference
(1)
generative model
(1)
bayesian network
(1)
semi-supervised learning
(1)
Papers
On Distillation of Guided Diffusion Models
CVPR 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
NeurIPS 2023
Variational Diffusion Models
NeurIPS 2021
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
NeurIPS 2020
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
AISTATS 2020
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
ICML 2015
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
ICML 2014