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Jongseok Lee
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A survey of uncertainty in deep neural networks
J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ...
Artificial Intelligence Review, 1-77, 2023
7032023
Standardized comparison of selected physiological controllers for rotary blood pumps: in vitro study
A Petrou, J Lee, S Dual, G Ochsner, M Meboldt, M Schmid Daners
Artificial organs 42 (3), E29-E42, 2018
652018
Visual-inertial telepresence for aerial manipulation
J Lee, R Balachandran, YS Sarkisov, M De Stefano, A Coelho, K Shinde, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 1222-1229, 2020
512020
Estimating model uncertainty of neural networks in sparse information form
J Lee, M Humt, J Feng, R Triebel
International Conference on Machine Learning, 5702-5713, 2020
432020
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
J Lee, J Feng, M Humt, MG Müller, R Triebel
5th Annual Conference on Robot Learning, 2021
202021
Comparison of Flow Estimators for Rotary Blood Pumps: An In Vitro and In Vivo Study
A Petrou, D Kuster, J Lee, M Meboldt, M Schmid Daners
Annals of biomedical engineering 46, 2123-2134, 2018
192018
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
M Humt, J Lee, R Triebel
2020 IEEE/RSJ Intelligent Conference on Intelligent Robots and Systems (IROS …, 2020
142020
Preliminary results for the multi-robot, multi-partner, multi-mission, planetary exploration analogue campaign on mount etna
A Wedler, MG Müller, M Schuster, M Durner, S Brunner, P Lehner, ...
Proceedings of the International Astronautical Congress, IAC, 2021
132021
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
K Shinde, J Lee, M Humt, A Sezgin, R Triebel
Workshop on AI for Autonomous Driving (AIAD), the 37th International …, 2020
112020
Finally! insights into the arches lunar planetary exploration analogue campaign on etna in summer 2022
A Wedler, MG Müller, M Schuster, M Durner, P Lehner, A Dömel, F Steidle, ...
73rd International Astronautical Congress, IAC 2022, 2022
102022
Bayesian active learning for sim-to-real robotic perception
J Feng, J Lee, M Durner, R Triebel
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
6*2022
Towards Autonomous Stratospheric Flight: A Generic Global System Identification Framework for Fixed-Wing Platforms
J Lee, T Muskardin, CR Pacz, P Oettershagen, T Stastny, I Sa, R Siegwart, ...
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
62018
Hierarchical control of redundant aerial manipulators with enhanced field of view
A Coelho, YS Sarkisov, J Lee, R Balachandran, A Franchi, K Kondak, ...
2021 International Conference on Unmanned Aircraft Systems (ICUAS), 994-1002, 2021
52021
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities
J Lee, R Balachandran, K Kondak, A Coelho, M De Stefano, M Humt, ...
Field Robotics 3, 323-367, 2023
3*2023
High Fidelity Modelling for High Altitude Long Endurance Solar Powered Aircraft
J Lee
ETH Zürich, 2017
22017
Learning fluid flow visualizations from in-flight images with tufts
J Lee, WFJ Olsman, R Triebel
IEEE Robotics and Automation Letters, 2023
12023
Kronecker-factored optimal curvature
D Schnaus, J Lee, R Triebel
Bayesian Deep Learning NeurIPS 2021 Workshop, 2021
12021
Automated Valet Parking enabled by Internet of Things: A pilot site realization and validation at Brainport, the Netherlands
LC Touko Tcheumadjeu, E Mathews, A Teerhuis, Q Tang, ...
13th ITS European Congress, 2019
1*2019
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
J Feng, J Lee, S Geisler, S Gunnemann, R Triebel
arXiv preprint arXiv:2311.06481, 2023
2023
Learning expressive priors for generalization and uncertainty estimation in neural networks
D Schnaus, J Lee, D Cremers, R Triebel
International Conference on Machine Learning, 30252-30284, 2023
2023
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Articles 1–20