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07/15/2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
In this work, we propose a novel prior learning method for advancing gen...
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10/18/2022
Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities
This article presents a novel telepresence system for advancing aerial m...
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09/23/2021
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning
Learning from synthetic data is popular in a variety of robotic vision t...
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09/20/2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
This paper presents a probabilistic framework to obtain both reliable an...
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07/07/2021
A Survey of Uncertainty in Deep Neural Networks
Due to their increasing spread, confidence in neural network predictions...
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10/30/2020
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
In robotics, deep learning (DL) methods are used more and more widely, b...
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07/15/2020
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
This paper presents an end-to-end multi-modal learning approach for mono...
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06/20/2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
We present a sparse representation of model uncertainty for Deep Neural ...
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03/25/2020