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

Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. - Kashmira Shinde; Jongseok Lee; Matthias Humt; Aydin Sezgin; Rudolph Triebel (CoRR, 2020)

Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. - Matthias Humt; Jongseok Lee; Rudolph Triebel (CoRR, 2020)

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

A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. - Dominik Winkelbauer; Berthold Bäuml; Matthias Humt; Nils Thuerey; Rudolph Triebel (IROS, 2022)

Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. - Jongseok Lee; Ribin Balachandran; Konstantin Kondak; Andre Coelho; Marco De Stefano; Matthias Humt; Jianxiang Feng; Tamim Asfour; Rudolph Triebel (CoRR, 2022)

Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. - Matthias Humt; Dominik Winkelbauer; Ulrich Hillenbrand; Berthold Bäuml (Humanoids, 2023)

Shape Completion with Prediction of Uncertain Regions. - Matthias Humt; Dominik Winkelbauer; Ulrich Hillenbrand (IROS, 2023)

Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. - Jongseok Lee; Ribin Balachandran; Konstantin Kondak; Andre Coelho; Marco De Stefano; Matthias Humt; Jianxiang Feng; Tamim Asfour; Rudolph Triebel (Field Robotics, 2023)

BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. - Maximilian Denninger; Dominik Winkelbauer; Martin Sundermeyer; Wout Boerdijk; Markus Knauer; Klaus H. Strobl; Matthias Humt; Rudolph Triebel (J. Open Source Softw., 2023)

A survey of uncertainty in deep neural networks. - Jakob Gawlikowski; Cedrique Rovile Njieutcheu Tassi; Mohsin Ali; Jongseok Lee; Matthias Humt; Jianxiang Feng; Anna M. Kruspe; Rudolph Triebel; Peter Jung 001; Ribana Roscher; Muhammad Shahzad 002; Wen Yang 001; et al. (Artif. Intell. Rev., 2023)

Unknown Object Grasping for Assistive Robotics. - Elle Miller; Maximilian Durner; Matthias Humt; Gabriel Quere; Wout Boerdijk; Ashok M. Sundaram; Freek Stulp; Jörn Vogel (ICRA, 2024)