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David Lenz
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2020 – today
- 2024
- [j6]Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz, Hanna Hottenrott:
Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis. Int. J. Inf. Manag. Data Insights 4(2): 100287 (2024) - [j5]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating multivariate functional approximation computation with domain decomposition techniques. J. Comput. Sci. 78: 102268 (2024) - [j4]Jianxin Sun
, David Lenz, Hongfeng Yu, Tom Peterka:
MFA-DVR: direct volume rendering of MFA models. J. Vis. 27(1): 109-126 (2024) - [i11]Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang:
Critical Point Extraction from Multivariate Functional Approximation. CoRR abs/2408.13193 (2024) - [i10]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. CoRR abs/2409.00184 (2024) - 2023
- [j3]David Lenz
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71: 102037 (2023) - [j2]David Lenz
Fourier-informed knot placement schemes for B-spline approximation. Math. Comput. Simul. 213: 374-393 (2023) - [c14]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. IEEE Big Data 2023: 905-914 - [c13]Vijay Mahadevan
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques. ICCS (1) 2023: 89-103 - [c12]Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan:
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV 2023: 32-41 - [i9]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR abs/2301.01209 (2023) - [i8]Alix Auzepy, Elena Tönjes, David Lenz, Christoph Funk:
Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures. CoRR abs/2302.00326 (2023) - [i7]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. CoRR abs/2312.15073 (2023) - 2022
- [c11]David Lenz
Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) 2022: 150-163 - [i6]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. CoRR abs/2203.12730 (2022) - [i5]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
MFA-DVR: Direct Volume Rendering of MFA Models. CoRR abs/2204.11762 (2022) - [i4]Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. CoRR abs/2210.06528 (2022) - 2021
- [j1]Hanqi Guo
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27(8): 3463-3480 (2021) - [i3]David Lenz:
Construction of 4D Simplex Space-Time Meshes for Local Bisection Schemes. CoRR abs/2108.06258 (2021) - 2020
- [i2]Hanqi Guo
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR abs/2011.08697 (2020) - [i1]David Lenz, Oana Marin, Vijay Mahadevan
Fourier-Informed Knot Placement Schemes for B-Spline Approximation. CoRR abs/2012.04123 (2020)
2010 – 2019
- 2019
- [b1]David Lenz:
Motion planning for highly-automated vehicles under uncertainties and interactions with human drivers. Technical University of Munich, Germany, Verlag Dr. Hut 2019, ISBN 978-3-8439-4000-9, pp. 1-129 - 2018
- [c10]David Lenz, Christian Schulze, Michael Guckert:
Real-Time Session-Based Recommendations Using LSTM with Neural Embeddings. ICANN (2) 2018: 337-348 - 2017
- [c9]Tobias Kessler, Pascal Minnerup, David Lenz, Alois C. Knoll
Systematically comparing control approaches in the presence of actuator errors. Intelligent Vehicles Symposium 2017: 353-358 - [c8]David Lenz, Frederik Diehl
Deep neural networks for Markovian interactive scene prediction in highway scenarios. Intelligent Vehicles Symposium 2017: 685-692 - [c7]Constantin Hubmann, Marvin Becker, Daniel Althoff, David Lenz, Christoph Stiller
Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles. Intelligent Vehicles Symposium 2017: 1671-1678 - 2016
- [c6]David Lenz, Tobias Kessler, Alois C. Knoll
Tactical cooperative planning for autonomous highway driving using Monte-Carlo Tree Search. Intelligent Vehicles Symposium 2016: 447-453 - 2015
- [c5]David Lenz, Markus Rickert
Heuristic search in belief space for motion planning under uncertainties. IROS 2015: 2659-2665 - [c4]David Lenz, Tobias Kessler, Alois C. Knoll
Stochastic model predictive controller with chance constraints for comfortable and safe driving behavior of autonomous vehicles. Intelligent Vehicles Symposium 2015: 292-297 - 2014
- [c3]Dominik Bauch, David Lenz, Pascal Minnerup, Andrei Avram:
Interface Definition and Code Generation in heterogeneous Development Environments from a Single-Source. GI-Jahrestagung 2014: 2133-2144 - 2012
- [c2]Nikos Mitsou, Roderick de Nijs, David Lenz, Johannes Frimberger, Dirk Wollherr
Online Semantic Mapping of Urban Environments. Spatial Cognition 2012: 54-73 - 2011
- [c1]Scott Koziol, David Lenz, Sebastian Hilsenbeck, Smriti Chopra, Paul E. Hasler, Ayanna M. Howard:
Using floating-gate based programmable analog arrays for real-time control of a game-playing robot. SMC 2011: 3566-3571
Coauthor Index
aka: Thomas Peterka
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