David Lenz

According to our database, David Lenz authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MFA-DVR: direct volume rendering of MFA models.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

J. Vis., February, 2024

Accelerating multivariate functional approximation computation with domain decomposition techniques.

Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka

J. Comput. Sci., 2024

Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis.

Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz, Hanna Hottenrott

Int. J. Inf. Manag. Data Insights, 2024

ChatVis: Automating Scientific Visualization with a Large Language Model.

Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka

CoRR, 2024

Critical Point Extraction from Multivariate Functional Approximation.

Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang

Proceedings of the IEEE Topological Data Analysis and Visualization, 2024

Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024

2023

Fourier-informed knot placement schemes for B-spline approximation.

David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka

Math. Comput. Simul., November, 2023

Customizable adaptive regularization techniques for B-spline modeling.

David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka

J. Comput. Sci., 2023

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

Alix Auzepy, Elena Tönjes, David Lenz, Christoph Funk

CoRR, 2023

Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data.

Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan

Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

Proceedings of the IEEE International Conference on Big Data, 2023

2022

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

Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka

CoRR, 2022

Adaptive Regularization of B-Spline Models for Scientific Data.

David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka

Proceedings of the Computational Science - ICCS 2022, 2022

2021

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.

Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster

IEEE Trans. Vis. Comput. Graph., 2021

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

David Lenz

CoRR, 2021

2020

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

Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster

CoRR, 2020

2019

Motion planning for highly-automated vehicles under uncertainties and interactions with human drivers.

David Lenz

PhD thesis, 2019

2018

Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings.

David Lenz, Christian Schulze, Michael Guckert

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Deep neural networks for Markovian interactive scene prediction in highway scenarios.

David Lenz, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Systematically comparing control approaches in the presence of actuator errors.

Tobias Kessler, Pascal Minnerup, David Lenz, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles.

Constantin Hubmann, Marvin Becker, Daniel Althoff, David Lenz, Christoph Stiller

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016

Tactical cooperative planning for autonomous highway driving using Monte-Carlo Tree Search.

David Lenz, Tobias Kessler, Alois C. Knoll

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.

David Lenz, Tobias Kessler, Alois C. Knoll

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Heuristic search in belief space for motion planning under uncertainties.

David Lenz, Markus Rickert, Alois C. Knoll

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.

Dominik Bauch, David Lenz, Pascal Minnerup, Andrei Avram

Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

2012

Online Semantic Mapping of Urban Environments.

Nikos Mitsou, Roderick de Nijs, David Lenz, Johannes Frimberger, Dirk Wollherr, Kolja Kühnlenz, Costas S. Tzafestas

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.

Scott Koziol, David Lenz, Sebastian Hilsenbeck, Smriti Chopra, Paul E. Hasler, Ayanna M. Howard

Proceedings of the IEEE International Conference on Systems, 2011