Didrik Nielsen
6 papers · 2018–2021 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(3)
Deep Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
variational inference
(4)
normalizing flow
(4)
natural gradient
(2)
generative model
(2)
mean-field approximation
(1)
likelihood estimation
(1)
discrete sampling
(1)
diffusion model
(1)
autoregressive model
(1)
variational autoencoder
(1)
uncertainty estimation
(1)
bayesian deep learning
(1)
combinatorial space
(1)
gaussian model
(1)
categorical distribution
(1)
covariance approximation
(1)
survae flow
(1)
image segmentation
(1)
surjective transformation
(1)
uncertainty quantification
(1)
Papers
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
NeurIPS 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
AISTATS 2021
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
NeurIPS 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
NeurIPS 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
ICML 2018
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
NeurIPS 2018