Peer-Timo Bremer

Orcid: 0000-0003-4107-3831

Affiliations:
  • Lawrence Livermore National Laboratory, Livermore, CA, USA
  • University of California, Davis, USA (former)


According to our database1, Peer-Timo Bremer authored at least 201 papers between 2003 and 2024.

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Bibliography

2024
A Visual Comparison of Silent Error Propagation.
IEEE Trans. Vis. Comput. Graph., July, 2024

MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline.
Neuroinformatics, April, 2024

Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data.
CoRR, 2024

Enabling Additive Manufacturing Part Inspection of Digital Twins via Collaborative Virtual Reality.
CoRR, 2024

AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making.
Comput. Graph. Forum, 2024

HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications.
Proceedings of the International Conference for High Performance Computing, 2024

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

A Virtual Environment for Collaborative Inspection in Additive Manufacturing.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Scalable Comparative Visualization of Ensembles of Call Graphs.
IEEE Trans. Vis. Comput. Graph., March, 2023

AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132).
Dagstuhl Reports, March, 2023

Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric.
Comput. Sci. Eng., 2023

Accelerating Flow Simulations using Online Dynamic Mode Decomposition.
CoRR, 2023

Instance-wise Linearization of Neural Network for Model Interpretation.
CoRR, 2023

Workflows Community Summit 2022: A Roadmap Revolution.
CoRR, 2023

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

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Towards replacing physical testing of granular materials with a Topology-based Model.
IEEE Trans. Vis. Comput. Graph., 2022

AMM: Adaptive Multilinear Meshes.
IEEE Trans. Vis. Comput. Graph., 2022

Suppressing simulation bias in multi-modal data using transfer learning.
Mach. Learn. Sci. Technol., 2022

A biology-informed similarity metric for simulated patches of human cell membrane.
Mach. Learn. Sci. Technol., 2022

The Case for Optimized Edge-Centric Tractography at Scale.
Frontiers Neuroinformatics, 2022

Enabling machine learning-ready HPC ensembles with Merlin.
Future Gener. Comput. Syst., 2022

Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning.
CoRR, 2022

Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints.
CoRR, 2022

"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches.
CoRR, 2022

Single Model Uncertainty Estimation via Stochastic Data Centering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Models Out of Line: A Fourier Lens on Distribution Shift Robustness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

High-Quality Progressive Alignment of Large 3D Microscopy Data.
Proceedings of the 12th IEEE Symposium on Large Data Analysis and Visualization, 2022

Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models.
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates.
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Sparsity Improves Unsupervised Attribute Discovery in Stylegan.
Proceedings of the IEEE International Conference on Acoustics, 2022

Virtual Inspection of Additively Manufactured Parts.
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

A Study of the Locality of Persistence-Based Queries and Its Implications for the Efficiency of Localized Data Structures.
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021
Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow.
IEEE Trans. Vis. Comput. Graph., 2021

SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems.
IEEE Trans. Vis. Comput. Graph., 2021

Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution.
IEEE Trans. Vis. Comput. Graph., 2021

Vector Field Decompositions Using Multiscale Poisson Kernel.
IEEE Trans. Vis. Comput. Graph., 2021

Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations.
Nat. Mach. Intell., 2021

MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis.
Frontiers Big Data, 2021

Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion.
CoRR, 2021

Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data.
CoRR, 2021

Leveraging Topological Events in Tracking Graphs for Understanding Particle Diffusion.
Comput. Graph. Forum, 2021

Generalizable coordination of large multiscale workflows: challenges and learnings at scale.
Proceedings of the International Conference for High Performance Computing, 2021

Understanding a program's resiliency through error propagation.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Portable and Composable Flow Graphs for In Situ Analytics.
Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Distributed merge forest: a new fast and scalable approach for topological analysis at scale.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Accurate and Robust Feature Importance Estimation under Distribution Shifts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.
IEEE Trans. Vis. Comput. Graph., 2020

Toward Localized Topological Data Structures: Querying the Forest for the Tree.
IEEE Trans. Vis. Comput. Graph., 2020

Improved surrogates in inertial confinement fusion with manifold and cycle consistencies.
Proc. Natl. Acad. Sci. USA, 2020

Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections.
Mach. Learn. Sci. Technol., 2020

A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.
Int. J. Comput. Vis., 2020

Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations.
CoRR, 2020

AMM: Adaptive Multilinear Meshes.
CoRR, 2020

Scalable Comparative Visualization of Ensembles of Call Graphs.
CoRR, 2020

Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models.
CoRR, 2020

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models.
IEEE Trans. Vis. Comput. Graph., 2019

A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization.
IEEE Trans. Vis. Comput. Graph., 2019

Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy.
IEEE Trans. Vis. Comput. Graph., 2019

Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452).
Dagstuhl Reports, 2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.
CoRR, 2019

Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion.
CoRR, 2019

Function Preserving Projection for Scalable Exploration of High-Dimensional Data.
CoRR, 2019

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis.
CoRR, 2019


Understanding Deep Neural Networks through Input Uncertainties.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum.
Proceedings of the IEEE International Conference on Acoustics, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018
A Virtual Reality Visualization Tool for Neuron Tracing.
IEEE Trans. Vis. Comput. Graph., 2018

Visual Exploration of Semantic Relationships in Neural Word Embeddings.
IEEE Trans. Vis. Comput. Graph., 2018

MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors.
IEEE Trans. Vis. Comput. Graph., 2018

A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms.
J. Mach. Learn. Res., 2018

TopoMS: Comprehensive topological exploration for molecular and condensed-matter systems.
J. Comput. Chem., 2018

MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.
CoRR, 2018

Unsupervised Dimension Selection using a Blue Noise Spectrum.
CoRR, 2018

Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization.
CoRR, 2018

An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks.
CoRR, 2018

Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections.
Comput. Graph. Forum, 2018

Rendering and Extracting Extremal Features in 3D Fields.
Comput. Graph. Forum, 2018

Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope.
Comput. Graph. Forum, 2018

BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Two-dimensional shape retrieval using the distribution of extrema of Laplacian eigenfunctions.
Vis. Comput., 2017

Visualizing High-Dimensional Data: Advances in the Past Decade.
IEEE Trans. Vis. Comput. Graph., 2017

Influential Sample Selection: A Graph Signal Processing Approach.
CoRR, 2017

Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms.
Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017

ISAVS: interactive scalable analysis and visualization system.
Proceedings of the SIGGRAPH ASIA 2017, Bangkok, Thailand, November 27 - 30, 2017, 2017

ScrubJay: deriving knowledge from the disarray of HPC performance data.
Proceedings of the International Conference for High Performance Computing, 2017

Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Exploring the evolution of pressure-perturbations to understand atmospheric phenomena.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

Interactive Visualization and Exploration of Patient Progression in a Hospital Setting.
Proceedings of the AMIA 2017, 2017

2016
Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Materials.
IEEE Trans. Vis. Comput. Graph., 2016

Ordering Traces Logically to Identify Lateness in Message Passing Programs.
IEEE Trans. Parallel Distributed Syst., 2016

Stair blue noise sampling.
ACM Trans. Graph., 2016

Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study.
Reliab. Eng. Syst. Saf., 2016

The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data.
Comput. Graph. Forum, 2016

In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows.
Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

VIPACT: A Visualization Interface for Analyzing Calling Context Trees.
Proceedings of the Third Workshop on Visual Performance Analysis, 2016

Caliper: performance introspection for HPC software stacks.
Proceedings of the International Conference for High Performance Computing, 2016

Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Embedded domain-specific language and runtime system for progressive spatiotemporal data analysis and visualization.
Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Theoretical guarantees for poisson disk sampling using pair correlation function.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Interactive exploration of atomic trajectories through relative-angle distribution and associated uncertainties.
Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015
Distributed Seams for Gigapixel Panoramas.
IEEE Trans. Vis. Comput. Graph., 2015

Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022).
Dagstuhl Manifestos, 2015

ND<sup>2</sup>AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign.
Comput. Vis. Sci., 2015

Local, smooth, and consistent Jacobi set simplification.
Comput. Geom., 2015

Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections.
Comput. Graph. Forum, 2015

Recovering logical structure from Charm++ event traces.
Proceedings of the International Conference for High Performance Computing, 2015

Relating memory performance data to application domain data using an integration API.
Proceedings of the 2nd Workshop on Visual Performance Analysis, 2015

Tracking features in embedded surfaces: Understanding extinction in turbulent combustion.
Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

Identifying the Culprits Behind Network Congestion.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

A Randomized Ensemble Approach to Industrial CT Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Computing Accurate Morse-Smale Complexes from Gradient Vector Fields.
Proceedings of the Green in Software Engineering, 2015

2014
Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time.
IEEE Trans. Vis. Comput. Graph., 2014

The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis.
IEEE Trans. Vis. Comput. Graph., 2014

Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022).
Dagstuhl Reports, 2014

Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data.
Comput. Graph. Forum, 2014

Stability of Dissipation Elements: A Case Study in Combustion.
Comput. Graph. Forum, 2014

Extracting Features from Time-Dependent Vector Fields Using Internal Reference Frames.
Comput. Graph. Forum, 2014

State of the Art of Performance Visualization.
Proceedings of the 16th Eurographics Conference on Visualization, 2014

Fast Multiresolution Reads of Massive Simulation Datasets.
Proceedings of the Supercomputing - 29th International Conference, 2014

Visualizing the five-dimensional torus network of the IBM blue gene/Q.
Proceedings of the First Workshop on Visual Performance Analysis, 2014

In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees.
Proceedings of the International Conference for High Performance Computing, 2014

Efficient I/O and Storage of Adaptive-Resolution Data.
Proceedings of the International Conference for High Performance Computing, 2014

Dissecting On-Node Memory Access Performance: A Semantic Approach.
Proceedings of the International Conference for High Performance Computing, 2014

Extracting logical structure and identifying stragglers in parallel execution traces.
Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2014

Data-parallel halo finding with variable linking lengths.
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014

Multivariate volume visualization through dynamic projections.
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014

Automatic image annotation using inverse maps from semantic embeddings.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Image segmentation using consensus from hierarchical segmentation ensembles.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Analysis of Uncertain Scalar Data with Hixels.
Proceedings of the Scientific Visualization, 2014

Large Scale Data Analysis.
Proceedings of the Scientific Visualization, 2014

Robust Detection of Singularities in Vector Fields.
Proceedings of the Topological Methods in Data Analysis and Visualization III, 2014

2013
ManyVis: Multiple Applications in an Integrated Visualization Environment.
IEEE Trans. Vis. Comput. Graph., 2013

The Helmholtz-Hodge Decomposition - A Survey.
IEEE Trans. Vis. Comput. Graph., 2013

Comments on the "Meshless Helmholtz-Hodge Decomposition".
IEEE Trans. Vis. Comput. Graph., 2013

Ultrascale Visualization of Climate Data.
Computer, 2013

Ridge-Valley graphs: Combinatorial ridge detection using Jacobi sets.
Comput. Aided Geom. Des., 2013

Robust computation of Morse-Smale complexes of bilinear functions.
Comput. Aided Geom. Des., 2013

Exploring power behaviors and trade-offs of in-situ data analytics.
Proceedings of the International Conference for High Performance Computing, 2013

Performance Analysis Techniques for the Exascale Co-Design Process.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

Scalable Seams for Gigapixel Panoramas.
Proceedings of the 13th Eurographics Symposium on Parallel Graphics and Visualization, 2013

2012
Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations.
IEEE Trans. Vis. Comput. Graph., 2012

Computing Morse-Smale Complexes with Accurate Geometry.
IEEE Trans. Vis. Comput. Graph., 2012

Flow Visualization with Quantified Spatial and Temporal Errors Using Edge Maps.
IEEE Trans. Vis. Comput. Graph., 2012

A Quantized Boundary Representation of 2D Flows.
Comput. Graph. Forum, 2012

Topology exploration with hierarchical landscapes.
Proceedings of the Workshop at SIGGRAPH Asia, 2012

Abstract: Exploring Performance Data with Boxfish.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Mapping applications with collectives over sub-communicators on torus networks.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Novel views of performance data to analyze large-scale adaptive applications.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Interactive exploration of large-scale time-varying data using dynamic tracking graphs.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

On the use of graph search techniques for the analysis of extreme-scale combustion simulation data.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

Gaussian mixture model based volume visualization.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

Scalable Visualization and Interactive Analysis Using Massive Data Streams.
Proceedings of the Transition of HPC Towards Exascale Computing, 2012

The ViSUS Visualization Framework.
Proceedings of the High Performance Visualization, 2012

2011
Adaptive Extraction and Quantification of Geophysical Vortices.
IEEE Trans. Vis. Comput. Graph., 2011

Topological Spines: A Structure-preserving Visual Representation of Scalar Fields.
IEEE Trans. Vis. Comput. Graph., 2011

Interactive Exploration and Analysis of Large-Scale Simulations Using Topology-Based Data Segmentation.
IEEE Trans. Vis. Comput. Graph., 2011

Feature-Based Statistical Analysis of Combustion Simulation Data.
IEEE Trans. Vis. Comput. Graph., 2011

Interactive editing of massive imagery made simple: Turning Atlanta into Atlantis.
ACM Trans. Graph., 2011

Topology-based Visualization of Transformation Pathways in Complex Chemical Systems.
Comput. Graph. Forum, 2011

Creating a Tool Set for Optimizing Topology-Aware Node Mappings.
Proceedings of the Tools for High Performance Computing 2011, 2011

Analysis of large-scale scalar data using hixels.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

Interpreting Performance Data across Intuitive Domains.
Proceedings of the International Conference on Parallel Processing, 2011

Hybrid CPU-GPU Solver for Gradient Domain Processing of Massive Images.
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

Parallel Gradient Domain Processing of Massive Images.
Proceedings of the 11th Eurographics Symposium on Parallel Graphics and Visualization, 2011

Edge maps: Representing flow with bounded error.
Proceedings of the IEEE Pacific Visualization Symposium, 2011

Feature Tracking Using Reeb Graphs.
Proceedings of the Topological Methods in Data Analysis and Visualization, 2011

Topological Feature Extraction for Comparison of Terascale Combustion Simulation Data.
Proceedings of the Topological Methods in Data Analysis and Visualization, 2011

Practical Considerations in Morse-Smale Complex Computation.
Proceedings of the Topological Methods in Data Analysis and Visualization, 2011

2010
Visual Exploration of High Dimensional Scalar Functions.
IEEE Trans. Vis. Comput. Graph., 2010

Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames.
IEEE Trans. Vis. Comput. Graph., 2010

Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009
Robust Topology-Based Multiscale Analysis of Scientific Data.
Comput. Sci. Eng., 2009

Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data.
Proceedings of the ICDM Workshops 2009, 2009

A Topological Framework for the Interactive Exploration of Large Scale Turbulent Combustion.
Proceedings of the Fifth International Conference on e-Science, 2009

Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees.
Proceedings of the Mathematical Foundations of Scientific Visualization, 2009

2008
A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality.
IEEE Trans. Vis. Comput. Graph., 2008

2007
Topological Landscapes: A Terrain Metaphor for Scientific Data.
IEEE Trans. Vis. Comput. Graph., 2007

Robust on-line computation of Reeb graphs: simplicity and speed.
ACM Trans. Graph., 2007

A Practical Approach to Two-Dimensional Scalar Topology.
Proceedings of the Topology-based Methods in Visualization, 2007

2006
Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities.
IEEE Trans. Vis. Comput. Graph., 2006

A Topological Approach to Simplification of Three-Dimensional Scalar Functions.
IEEE Trans. Vis. Comput. Graph., 2006

Spectral surface quadrangulation.
ACM Trans. Graph., 2006

Segmenting molecular surfaces.
Comput. Aided Geom. Des., 2006

2005
Topology-based Simplification for Feature Extraction from 3D Scalar Fields.
Proceedings of the 16th IEEE Visualization Conference, 2005

A Sampling Theorem for MLS Surfaces.
Proceedings of the 2nd Symposium on Point Based Graphics, 2005

Maximizing Adaptivity in Hierarchical Topological Models.
Proceedings of the 2005 International Conference on Shape Modeling and Applications (SMI 2005), 2005

2004
A Topological Hierarchy for Functions on Triangulated Surfaces.
IEEE Trans. Vis. Comput. Graph., 2004

2003
A Multi-Resolution Data Structure for 2-Dimensional Morse Functions.
Proceedings of the 14th IEEE Visualization Conference, 2003


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