Joshua Dillon
7 papers · 2007–2021 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (14)
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(16)
β
The Questioner
π
Trend Setter
Conferences
AISTATS (2)
ICML (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
out-of-distribution detection
(2)
variational inference
(2)
representation learning
(1)
anomaly detection
(1)
mean field approximation
(1)
document representation
(1)
posterior distribution
(1)
mutual information
(1)
mean field
(1)
kernel density estimation
(1)
likelihood ratio
(1)
mixture distribution
(1)
generative model
(1)
latent variable model
(1)
latent variable
(1)
genomic sequence
(1)
bayesian neural network
(1)
ood detection
(1)
evidence lower bound
(1)
multimodal posterior
(1)
Papers
Automatic Differentiation Variational Inference with Mixtures
AISTATS 2021
Density of States Estimation for Out of Distribution Detection
AISTATS 2021
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
Likelihood Ratios for Out-of-Distribution Detection
NIPS 2019
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
NIPS 2019
Fixing a Broken ELBO
ICML 2018
The Locally Weighted Bag of Words Framework for Document Representation
JMLR 2007