David Lenz

According to our database, David Lenz authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields.

Sophia Zorek, Kushal Vyas, Yuhao Liu, David Lenz, Tom Peterka, Guha Balakrishnan

CoRR, April, 2026

SASAV: Self-Directed Agent for Scientific Analysis and Visualization.

Jianxin Sun, David Lenz, Tom Peterka, Hongfeng Yu

CoRR, April, 2026

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents.

Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu

CoRR, March, 2026

Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices.

Sujata Sinha, Vishwas Rao, Robert Underwood, David Lenz, Sheng Di, Franck Cappello, Lingjia Liu

CoRR, March, 2026

Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization Using Reconstruction Neural Networks.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

IEEE Trans. Vis. Comput. Graph., February, 2026

F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

IEEE Trans. Vis. Comput. Graph., January, 2026

2025

Make the Fastest Faster: Importance Mask for Interactive Volume Visualization using Reconstruction Neural Networks.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

CoRR, February, 2025

ChatVis: Large Language Model Agent for Generating Scientific Visualizations.

Tom Peterka, Tanwi Mallick, Orcun Yildiz, David Lenz, Cory Quammen, Berk Geveci

Proceedings of the 15th IEEE Symposium on Large Data Analysis and Visualization, 2025

Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs.

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

Proceedings of the 15th IEEE Symposium on Large Data Analysis and Visualization, 2025

2024

MFA-DVR: direct volume rendering of MFA models.

Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka

J. Vis., February, 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

ChatVis: Automating Scientific Visualization with a Large Language Model.

Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 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

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

Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques.

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

Proceedings of the Computational Science - ICCS 2023, 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