David Lenz

Orcid: 0000-0002-2587-2783

According to our database1, David Lenz authored at least 23 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MFA-DVR: direct volume rendering of MFA models.
J. Vis., February, 2024

2023
Fourier-informed knot placement schemes for B-spline approximation.
Math. Comput. Simul., November, 2023

Customizable adaptive regularization techniques for B-spline modeling.
J. Comput. Sci., 2023

Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures.
CoRR, 2023

Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data.
Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques.
Proceedings of the Computational Science - ICCS 2023, 2023

Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data.
CoRR, 2022

Adaptive Regularization of B-Spline Models for Scientific Data.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.
IEEE Trans. Vis. Comput. Graph., 2021

Construction of 4D Simplex Space-Time Meshes for Local Bisection Schemes.
CoRR, 2021

2020
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
CoRR, 2020

2019
Motion planning for highly-automated vehicles under uncertainties and interactions with human drivers.
PhD thesis, 2019

2018
Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Deep neural networks for Markovian interactive scene prediction in highway scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Systematically comparing control approaches in the presence of actuator errors.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Tactical cooperative planning for autonomous highway driving using Monte-Carlo Tree Search.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015
Stochastic model predictive controller with chance constraints for comfortable and safe driving behavior of autonomous vehicles.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Heuristic search in belief space for motion planning under uncertainties.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Interface Definition and Code Generation in heterogeneous Development Environments from a Single-Source.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

2012
Online Semantic Mapping of Urban Environments.
Proceedings of the Spatial Cognition VIII - International Conference, 2012

2011
Using floating-gate based programmable analog arrays for real-time control of a game-playing robot.
Proceedings of the IEEE International Conference on Systems, 2011


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