Conor Durkan
5 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Pioneer
Venues
Top co-authors
Research topics
Keywords
generative model
(2)
energy-based model
(2)
neural density estimator
(2)
likelihood-free inference
(1)
markov chain monte carlo
(1)
maximum likelihood
(1)
importance sampling
(1)
density ratio estimation
(1)
posterior inference
(1)
score matching
(1)
contrastive learning
(1)
autoregressive model
(1)
normalizing flow
(1)
compositional generation
(1)
score-based diffusion
(1)
simulator model
(1)
normalizing constant
(1)
continuous normalizing flow
(1)
spline function
(1)
diffusion model
(1)
Papers
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
ICML 2023
Maximum Likelihood Training of Score-Based Diffusion Models
NeurIPS 2021
On Contrastive Learning for Likelihood-free Inference
ICML 2020
Autoregressive Energy Machines
ICML 2019
Neural Spline Flows
NeurIPS 2019