Johannes Müller | DeepAI

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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...

0 Augustine Okolie, et al. ∙

∙ 04/19/2023

A Protocol for Cast-as-Intended Verifiability with a Second Device

Numerous institutions, such as companies, universities, or non-governmen...

0 Johannes Müller, et al. ∙

∙ 02/25/2023

Achieving High Accuracy with PINNs via Energy Natural Gradients

We propose energy natural gradient descent, a natural gradient method wi...

0 Johannes Müller, et al. ∙

∙ 11/03/2022

Geometry and convergence of natural policy gradient methods

We study the convergence of several natural policy gradient (NPG) method...

0 Johannes Müller, et al. ∙

∙ 08/08/2022

Extrinsic Camera Calibration with Semantic Segmentation

Monocular camera sensors are vital to intelligent vehicle operation and ...

10 Alexander Tsaregorodtsev, et al. ∙

∙ 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...

0 Jesse van Oostrum, et al. ∙

∙ 06/15/2022

Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic

Reliable tracking algorithms are essential for automated driving. Howeve...

0 Thomas Griebel, et al. ∙

∙ 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...

0 Johannes Müller, et al. ∙

∙ 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...

0 Marcel Schloz, et al. ∙

∙ 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...

0 Matti Henning, et al. ∙

∙ 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 ...

0 Patrick Dondl, et al. ∙

∙ 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...

0 Johannes Müller, et al. ∙

∙ 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...

0 Johannes Müller, et al. ∙

∙ 05/06/2021

Notes on Exact Boundary Values in Residual Minimisation

We analyse the difference in convergence mode using exact versus penalis...

0 Johannes Müller, et al. ∙

∙ 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...

0 Johannes Müller, et al. ∙

∙ 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...

0 Martin Herrmann, et al. ∙

∙ 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. ...

0 Thomas Griebel, et al. ∙

∙ 12/09/2019

Deep Ritz revisited

Recently, progress has been made in the application of neural networks t...

0 Johannes Müller, et al. ∙

∙ 11/05/2019

LACI: Low-effort Automatic Calibration of Infrastructure Sensors

Sensor calibration usually is a time consuming yet important task. While...

17 Johannes Müller, et al. ∙

∙ 10/21/2019

Universal flow approximation with deep residual networks

Residual networks (ResNets) are a deep learning architecture with the re...

0 Johannes Müller, et al. ∙

∙ 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...

0 Johannes Müller, et al. ∙

∙ 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...

0 Johannes Müller, et al. ∙

∙ 01/06/2014

Speeding up SOR Solvers for Constraint-based GUIs with a Warm-Start Strategy

Many computer programs have graphical user interfaces (GUIs), which need...

0 Noreen Jamil, et al. ∙

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