Lee, Jongseok

4 publications

ICML 2023 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel

CoRL 2023 Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel

CoRL 2021 Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel

ICML 2020 Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel