Peer-Timo Bremer
Orcid: 0000-0003-4107-3831Affiliations:
- 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.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
IEEE Trans. Vis. Comput. Graph., July, 2024
Neuroinformatics, April, 2024
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
Proceedings of the International Conference for High Performance Computing, 2024
Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
2023
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
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
Mach. Learn. Sci. Technol., 2022
Mach. Learn. Sci. Technol., 2022
Frontiers Neuroinformatics, 2022
Future Gener. Comput. Syst., 2022
CoRR, 2022
CoRR, 2022
"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 12th IEEE Symposium on Large Data Analysis and Visualization, 2022
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
Proceedings of the IEEE International Conference on Acoustics, 2022
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
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
IEEE Trans. Vis. Comput. Graph., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations.
Nat. Mach. Intell., 2021
Frontiers Big Data, 2021
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
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021
Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021
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
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
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
Int. J. High Perform. Comput. Appl., 2020
Int. J. Comput. Vis., 2020
Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations.
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
IEEE Trans. Vis. Comput. Graph., 2019
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452).
Dagstuhl Reports, 2019
Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion.
CoRR, 2019
CoRR, 2019
A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis.
CoRR, 2019
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer.
Proceedings of the International Conference for High Performance Computing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
IEEE Trans. Vis. Comput. Graph., 2018
IEEE Trans. Vis. Comput. Graph., 2018
MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors.
IEEE Trans. Vis. Comput. Graph., 2018
J. Mach. Learn. Res., 2018
TopoMS: Comprehensive topological exploration for molecular and condensed-matter systems.
J. Comput. Chem., 2018
CoRR, 2018
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
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
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
IEEE Trans. Vis. Comput. Graph., 2017
Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017
Proceedings of the SIGGRAPH ASIA 2017, Bangkok, Thailand, November 27 - 30, 2017, 2017
Proceedings of the International Conference for High Performance Computing, 2017
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
IEEE Trans. Parallel Distributed Syst., 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
Proceedings of the Third Workshop on Visual Performance Analysis, 2016
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
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
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
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
Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections.
Comput. Graph. Forum, 2015
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
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
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
IEEE Trans. Vis. Comput. Graph., 2014
Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022).
Dagstuhl Reports, 2014
Comput. Graph. Forum, 2014
Comput. Graph. Forum, 2014
Extracting Features from Time-Dependent Vector Fields Using Internal Reference Frames.
Comput. Graph. Forum, 2014
Proceedings of the 16th Eurographics Conference on Visualization, 2014
Proceedings of the Supercomputing - 29th International Conference, 2014
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
Proceedings of the International Conference for High Performance Computing, 2014
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
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
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
Proceedings of the Scientific Visualization, 2014
Proceedings of the Topological Methods in Data Analysis and Visualization III, 2014
2013
IEEE Trans. Vis. Comput. Graph., 2013
IEEE Trans. Vis. Comput. Graph., 2013
Comput. Aided Geom. Des., 2013
Comput. Aided Geom. Des., 2013
Proceedings of the International Conference for High Performance Computing, 2013
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
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
IEEE Trans. Vis. Comput. Graph., 2012
IEEE Trans. Vis. Comput. Graph., 2012
Proceedings of the Workshop at SIGGRAPH Asia, 2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Proceedings of the SC Conference on High Performance Computing Networking, 2012
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
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012
Proceedings of the Transition of HPC Towards Exascale Computing, 2012
Proceedings of the High Performance Visualization, 2012
2011
IEEE Trans. Vis. Comput. Graph., 2011
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
IEEE Trans. Vis. Comput. Graph., 2011
ACM Trans. Graph., 2011
Comput. Graph. Forum, 2011
Proceedings of the Tools for High Performance Computing 2011, 2011
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011
Proceedings of the International Conference on Parallel Processing, 2011
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011
Proceedings of the 11th Eurographics Symposium on Parallel Graphics and Visualization, 2011
Proceedings of the IEEE Pacific Visualization Symposium, 2011
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
Proceedings of the Topological Methods in Data Analysis and Visualization, 2011
2010
IEEE Trans. Vis. Comput. Graph., 2010
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
Comput. Sci. Eng., 2009
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
Proceedings of the Mathematical Foundations of Scientific Visualization, 2009
2008
IEEE Trans. Vis. Comput. Graph., 2008
2007
IEEE Trans. Vis. Comput. Graph., 2007
ACM Trans. Graph., 2007
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
IEEE Trans. Vis. Comput. Graph., 2006
2005
Proceedings of the 16th IEEE Visualization Conference, 2005
Proceedings of the 2nd Symposium on Point Based Graphics, 2005
Proceedings of the 2005 International Conference on Shape Modeling and Applications (SMI 2005), 2005
2004
IEEE Trans. Vis. Comput. Graph., 2004
2003
Proceedings of the 14th IEEE Visualization Conference, 2003