Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks
with Sparse Gaussian Processes

Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes

20 September 2021

Rudolph Triebel

Papers citing "Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes"

16 / 16 papers shown

Title
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation S. Landgraf Rongjun Qin Markus Ulrich UQCV 68 0 0 14 Jan 2025
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners Zhi Zheng Qian Feng Hang Li Alois C. Knoll Jianxiang Feng 44 6 0 01 Jun 2024
Sparse Variational Student-t Processes Jian Xu Delu Zeng 16 1 0 09 Dec 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 11 4 0 11 Nov 2023
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes Abdelhak Lemkhenter Manchen Wang L. Zancato Gurumurthy Swaminathan Paolo Favaro Davide Modolo 25 0 0 03 Nov 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks Dominik Schnaus Jongseok Lee Daniel Cremers Rudolph Triebel UQCV BDL 31 0 0 15 Jul 2023
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes Weizhe (Wesley) Chen R. Khardon Lantao Liu 11 9 0 02 Jun 2023
Variational Linearized Laplace Approximation for Bayesian Deep Learning Luis A. Ortega Simón Rodríguez Santana Daniel Hernández-Lobato BDL UQCV 20 4 0 24 Feb 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 6 25 0 16 Nov 2022
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities Jongseok Lee R. Balachandran K. Kondak Andre Coelho M. Stefano Matthias Humt Jianxiang Feng Tamim Asfour Rudolph Triebel 13 8 0 18 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction Mehrdad Tavassoli S. Katyara Maria Pozzi Nikhil Deshpande D. Caldwell D. Prattichizzo 8 10 0 14 Oct 2022
AK: Attentive Kernel for Information Gathering Weizhe (Wesley) Chen R. Khardon Lantao Liu 27 12 0 13 May 2022
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 42 13 0 23 Sep 2021
Scalable Uncertainty for Computer Vision with Functional Variational Inference Eduardo D C Carvalho R. Clark Andrea Nicastro Paul H. J. Kelly BDL UQCV 62 22 0 06 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015