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07/17/2023
Parameter estimation for contact tracing in graph-based models
We adopt a maximum-likelihood framework to estimate parameters of a stoc...
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04/19/2023
A Protocol for Cast-as-Intended Verifiability with a Second Device
Numerous institutions, such as companies, universities, or non-governmen...
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02/25/2023
Achieving High Accuracy with PINNs via Energy Natural Gradients
We propose energy natural gradient descent, a natural gradient method wi...
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11/03/2022
Geometry and convergence of natural policy gradient methods
We study the convergence of several natural policy gradient (NPG) method...
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08/08/2022
Extrinsic Camera Calibration with Semantic Segmentation
Monocular camera sensors are vital to intelligent vehicle operation and ...
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06/30/2022
Invariance Properties of the Natural Gradient in Overparametrised Systems
The natural gradient field is a vector field that lives on a model equip...
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06/15/2022
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
Reliable tracking algorithms are essential for automated driving. Howeve...
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05/27/2022
Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space
Reward optimization in fully observable Markov decision processes is equ...
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03/29/2022
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography
We present a method that lowers the dose required for a ptychographic re...
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12/02/2021
Situation-Aware Environment Perception Using a Multi-Layer Attention Map
Within the field of automated driving, a clear trend in environment perc...
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11/10/2021
Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems
We provide convergence guarantees for the Deep Ritz Method for abstract ...
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10/21/2021
Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors
Motion planning at urban intersections that accounts for the situation c...
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10/14/2021
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
We consider the problem of finding the best memoryless stochastic policy...
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05/06/2021
Notes on Exact Boundary Values in Residual Minimisation
We analyse the difference in convergence mode using exact versus penalis...
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03/01/2021
Error Estimates for the Variational Training of Neural Networks with Boundary Penalty
We establish estimates on the error made by the Ritz method for quadrati...
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11/11/2020
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*
Autonomous vehicles need precise knowledge on dynamic objects in their s...
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07/01/2020
Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic
Self-assessment is a key to safety and robustness in automated driving. ...
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12/09/2019
Deep Ritz revisited
Recently, progress has been made in the application of neural networks t...
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11/05/2019
LACI: Low-effort Automatic Calibration of Infrastructure Sensors
Sensor calibration usually is a time consuming yet important task. While...
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10/21/2019
Universal flow approximation with deep residual networks
Residual networks (ResNets) are a deep learning architecture with the re...
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05/22/2019
A Trust Management and Misbehaviour Detection Mechanism for Multi-Agent Systems and its Application to Intelligent Transportation Systems
Cooperative information shared among a multi-agent system (MAS) can be u...
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02/12/2019
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety
Use of cooperative information, distributed by road-side units, offers l...
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01/06/2014