Jongseok Lee

4 papers · 2020–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze

Venues

CoRL (2) ICML (2)

Top co-authors

Rudolph Triebel (4) Jianxiang Feng (3) Matthias Humt (2) Marcus Gerhard Müller (1) Simon Geisler (1) Stephan Günnemann (1) Dominik Schnaus (1) Daniel Cremers (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Optimization & Theory (3) Bayesian & Probabilistic (2) Learning Types (2) Deep Learning (1) Architectures (1) Core AI (1) Core Methods (1)

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) 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) multivariate normal distribution (1)

Papers

Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023 Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning CoRL 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