Jongseok Lee
4 papers · 2020–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(2)
🐝
Cross-Pollinator
(11)
🗺️
Taxonomy Completionist
(10)
Conferences
CORL (2)
ICML (2)
Top co-authors
Keywords
uncertainty estimation
(2)
bayesian inference
(1)
density estimation
(1)
sparse representation
(1)
robot learning
(1)
low-rank approximation
(1)
model uncertainty
(1)
sparse approximation
(1)
posterior approximation
(1)
low rank approximation
(1)
generalization bound
(1)
deep neural network
(1)
normalizing flow
(1)
out-of-distribution detection
(1)
bayesian neural network
(1)
sparse gaussian process
(1)
predictive uncertainty
(1)
expressive prior
(1)
neural network
(1)
neural network uncertainty
(1)
Papers
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
CORL 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
ICML 2023
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
CORL 2021
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
ICML 2020