Peer-Timo Bremer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
22
Active years
2009–2025
Best venue rank
A*
Where they publish
- ASC18 papers
- MulticonferenceICASSP5 papers
- A*CVPR2 papers
- A*ICML2 papers
- A*AAAI2 papers
- BPPoPP2 papers
- A*SIGGRAPH2 papers
- BICIP2 papers
- CEGPGV2 papers
- BVRST1 paper
- A*CHI1 paper
- AICS1 paper
- NationalISVC1 paper
- CCLUSTER1 paper
- A*EMNLP1 paper
- NationalAMIA1 paper
- BCCGRID1 paper
- A*ICCV1 paper
- BICPADS1 paper
- BICPP1 paper
- AHPDC1 paper
- A*ICDM1 paper
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | VRST | Exploring Bichronous Collaboration in Virtual Environments. | Alexander Giovannelli, Shakiba Davari, Cherelle Connor, Fionn Chamberlain Murphy, Trey Davis, Haichao Miao, Vuthea Chheang, Brian Giera, Peer-Timo Bremer, Doug A. Bowman |
| 2024 | CHI | A Virtual Environment for Collaborative Inspection in Additive Manufacturing. | Vuthea Chheang, Brian Thomas Weston, Robert William Cerda, Brian Au, Brian Giera, Peer-Timo Bremer, Haichao Miao |
| 2024 | SC | HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. | Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer |
| 2023 | CVPR | Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. | Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong |
| 2022 | ICASSP | Sparsity Improves Unsupervised Attribute Discovery in Stylegan. | Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer |
| 2022 | ICML | Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. | Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz |
| 2022 | ICML | Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. | Jayaraman J. Thiagarajan, Rushil Anirudh, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz |
| 2021 | AAAI | Accurate and Robust Feature Importance Estimation under Distribution Shifts. | Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias |
| 2021 | ICS | Distributed merge forest: a new fast and scalable approach for topological analysis at scale. | Xuan Huang, Pavol Klacansky, Steve Petruzza, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci |
| 2021 | ISVC | Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows. | Harsh Bhatia, Steve Petruzza, Rushil Anirudh, Attila Gyulassy, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer |
| 2021 | PPoPP | Understanding a program's resiliency through error propagation. | Zhimin Li, Harshitha Menon, Kathryn Mohror, Peer-Timo Bremer, Yarden Livnat, Valerio Pascucci |
| 2021 | SC | Generalizable coordination of large multiscale workflows: challenges and learnings at scale. | Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang, Joseph R. Chavez, Fikret Aydin, Christopher B. Stanley, Tomas Oppelstrup, Chris Neale, Sara Kokkila Schumacher, Dong H. Ahn, Stephen Herbein, Timothy S. Carpenter, Sandrasegaram Gnanakaran, Peer-Timo Bremer, James N. Glosli, Felice C. Lightstone, Helgi I. Inglfsson |
| 2020 | AAAI | Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. | Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer |
| 2019 | CLUSTER | Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. | Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer |
| 2019 | ICASSP | Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum. | Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer |
| 2019 | ICASSP | Understanding Deep Neural Networks through Input Uncertainties. | Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer |
| 2019 | SC | A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. | Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R. W. Scogland, Gautham Dharuman, Michael P. Surh, Yue Yang, Claudia Misale, Lars Schneidenbach, Carlos H. A. Costa, Changhoan Kim, Bruce D'Amora, Sandrasegaram Gnanakaran, Dwight V. Nissley, Frederick H. Streitz, Felice C. Lightstone, Peer-Timo Bremer, James N. Glosli, Helgi I. Inglfsson |
| 2018 | EMNLP | Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. | Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer |
| 2017 | AMIA | Interactive Visualization and Exploration of Patient Progression in a Hospital Setting. | Wathsala Widanagamaachchi, Yarden Livnat, Peer-Timo Bremer, Scott L. DuVall, Valerio Pascucci |
| 2017 | CVPR | Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization. | Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer |
| 2017 | SIGGRAPH | ISAVS: interactive scalable analysis and visualization system. | Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer |
| 2017 | SC | ScrubJay: deriving knowledge from the disarray of HPC performance data. | Alfredo Gimnez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz |
| 2016 | CCGRID | Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. | Ivan Rodero, Manish Parashar, Aaditya G. Landge, Sidharth Kumar, Valerio Pascucci, Peer-Timo Bremer |
| 2016 | ICASSP | Theoretical guarantees for poisson disk sampling using pair correlation function. | Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Pramod K. Varshney |
| 2016 | SC | Caliper: performance introspection for HPC software stacks. | David Bhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Gimnez, Matthew P. LeGendre, Olga Pearce, Martin Schulz |
| 2016 | SC | VIPACT: A Visualization Interface for Analyzing Calling Context Trees. | Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Bhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer |
| 2016 | SC | In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows. | Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar |
| 2015 | ICCV | A Randomized Ensemble Approach to Industrial CT Segmentation. | Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer |
| 2015 | SC | Relating memory performance data to application domain data using an integration API. | Benafsh Husain, Alfredo Gimnez, Joshua A. Levine, Todd Gamblin, Peer-Timo Bremer |
| 2015 | SC | Recovering logical structure from Charm++ event traces. | Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Bhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer |
| 2014 | ICASSP | Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation. | Jayaraman J. Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy |
| 2014 | ICIP | Image segmentation using consensus from hierarchical segmentation ensembles. | Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer |
| 2014 | ICIP | Automatic image annotation using inverse maps from semantic embeddings. | Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias |
| 2014 | PPoPP | Extracting logical structure and identifying stragglers in parallel execution traces. | Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann |
| 2014 | SC | Dissecting On-Node Memory Access Performance: A Semantic Approach. | Alfredo Gimnez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann |
| 2014 | SC | Efficient I/O and Storage of Adaptive-Resolution Data. | Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Valerio Pascucci |
| 2014 | SC | In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees. | Aaditya G. Landge, Valerio Pascucci, Attila Gyulassy, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer |
| 2014 | SC | Visualizing the five-dimensional torus network of the IBM blue gene/Q. | Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Bernd Hamann |
| 2013 | EGPGV | Scalable Seams for Gigapixel Panoramas. | Sujin Philip, Brian Summa, Julien Tierny, Peer-Timo Bremer, Valerio Pascucci |
| 2013 | SC | Exploring power behaviors and trade-offs of in-situ data analytics. | Marc Gamell, Ivan Rodero, Manish Parashar, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer, Aaditya G. Landge, Attila Gyulassy, Patrick S. McCormick, Scott Pakin, Valerio Pascucci, Scott Klasky |
| 2012 | SIGGRAPH | Topology exploration with hierarchical landscapes. | Dogan Demir, Kenes Beketayev, Gunther H. Weber, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann |
| 2012 | SC | Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. | Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pbay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen |
| 2012 | SC | Novel views of performance data to analyze large-scale adaptive applications. | Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann |
| 2012 | SC | Mapping applications with collectives over sub-communicators on torus networks. | Abhinav Bhatele, Todd Gamblin, Steve H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, Charles H. Still |
| 2012 | SC | Abstract: Exploring Performance Data with Boxfish. | Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann |
| 2011 | EGPGV | Parallel Gradient Domain Processing of Massive Images. | Sujin Philip, Brian Summa, Peer-Timo Bremer, Valerio Pascucci |
| 2011 | ICPADS | Hybrid CPU-GPU Solver for Gradient Domain Processing of Massive Images. | Sujin Philip, Brian Summa, Valerio Pascucci, Peer-Timo Bremer |
| 2011 | ICPP | Interpreting Performance Data across Intuitive Domains. | Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci |
| 2010 | HPDC | Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network. | Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Allcock, Peer-Timo Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart, Ian T. Foster, Kevin Harms, Jason Hick, Jason Lee, Michael Link, Jeff Long, Keith Miller, Vijaya Natarajan, Valerio Pascucci, Ken Raffenetti, David Ressman, Dean N. Williams, Loren Wilson, Linda Winkler |
| 2009 | ICDM | Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data. | Kristin Potter, Andrew T. Wilson, Peer-Timo Bremer, Dean N. Williams, Charles M. Doutriaux, Valerio Pascucci, Chris R. Johnson |