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ORCIDDavid Lenz 0002
Person information
- affiliation: Argonne National Laboratory, Mathematics and Computer Science Division, Lemont, IL, USA
- affiliation (PhD 2020): University of California San Diego, CA, USA
Other persons with the same name
- David Lenz 0001 — Technical University of Munich, Germany (and 1 more)
- David Lenz 0003 — Justus Liebig University of Giessen, Germany
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2020 – today
- 2025
[i12]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Make the Fastest Faster: Importance Mask for Interactive Volume Visualization using Reconstruction Neural Networks. CoRR abs/2502.06053 (2025)- 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) - [c7]Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. LDAV 2024: 33-42 - [c6]Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka:
ChatVis: Automating Scientific Visualization with a Large Language Model. SC Workshops 2024: 49-55 - [c5]Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang:
Critical Point Extraction from Multivariate Functional Approximation. TopoInVis@VIS 2024: 12-22 - [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) - [i9]Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka:
ChatVis: Automating Scientific Visualization with a Large Language Model. CoRR abs/2410.11863 (2024) - 2023
- [j3]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71: 102037 (2023) - [j2]David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka:
Fourier-informed knot placement schemes for B-spline approximation. Math. Comput. Simul. 213: 374-393 (2023) - [c4]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 - [c3]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques. ICCS (1) 2023: 89-103 - [c2]Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan:
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV 2023: 32-41 - [i8]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR abs/2301.01209 (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
- [c1]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
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, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
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, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
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, Raine Yeh, Tom Peterka:
Fourier-Informed Knot Placement Schemes for B-Spline Approximation. CoRR abs/2012.04123 (2020)
Coauthor Index
aka: Thomas Peterka
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