Diederik P. Kingma
9 papers · 2010–2024 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Pioneer
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Topic Evolution
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Keyword Trendsetter Combo
(4)
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Keyword Pioneer
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Keyword Collector
(59)
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Trend Setter
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Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Optimization & Theory Β· Machine Learning
(7)
Models
(6)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(2)
Techniques
(2)
Computer Vision
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Processing
(1)
Keywords
generative model
(3)
semi-supervised learning
(2)
normalizing flow
(2)
variational inference
(2)
stochastic gradient descent
(2)
approximate inference
(1)
image generation
(1)
stochastic gradient
(1)
bayesian inference
(1)
deep learning
(1)
image statistics
(1)
density estimation
(1)
knowledge distillation
(1)
model distillation
(1)
regularization
(1)
image synthesis
(1)
expectation maximization
(1)
unsupervised feature learning
(1)
batch normalization
(1)
bayesian learning
(1)
Papers
EM Distillation for One-step Diffusion Models
NeurIPS 2024
Flow Contrastive Estimation of Energy-Based Models
CVPR 2020
Glow: Generative Flow with Invertible 1x1 Convolutions
NeurIPS 2018
Learning Sparse Neural Networks through L_0 Regularization
ICLR 2018
Improved Variational Inference with Inverse Autoregressive Flow
NeurIPS 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
NeurIPS 2016
Variational Dropout and the Local Reparameterization Trick
NeurIPS 2015
Semi-supervised Learning with Deep Generative Models
NeurIPS 2014
Regularized estimation of image statistics by Score Matching
NeurIPS 2010