Peer-Timo Bremer

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 116

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

Publications

Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. Comput. Graph. Forum 43 (3) (2024)
Lanya T. Cai, Joseph Y. Moon, Paul B. Camacho, Aaron T. Anderson, Won Jong Chwa, Bradley P. Sutton, Amy J. Markowitz, Eva M. Palacios, Alexis A. Rodriguez, Geoffrey T. Manley, Shivsundaram Shankar, Peer-Timo Bremer, Pratik Mukherjee, Ravi K. Madduri, Shankar Gopinath, Ramesh Grandhi, C. Dirk Keene, Michael A. McCrea, Randall Merchant, Laura B. Ngwenya, Ava M. Puccio, David Schnyer, Sabrina R. Taylor, John K. Yue, Esther L. Yuh, Ross Zafonte
MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline. Neuroinformatics 22 (2) (2024)
Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Shusen Liu, Luanzheng Guo, Peer-Timo Bremer, Valerio Pascucci
A Visual Comparison of Silent Error Propagation. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Vuthea Chheang, Brian Thomas Weston, Robert William Cerda, Brian Au, Brian Giera, Peer-Timo Bremer, Haichao Miao
A Virtual Environment for Collaborative Inspection in Additive Manufacturing. CHI Extended Abstracts (2024)
Vuthea Chheang, Brian Thomas Weston, Robert William Cerda, Brian Au, Brian Giera, Peer-Timo Bremer, Haichao Miao
A Virtual Environment for Collaborative Inspection in Additive Manufacturing. CoRR (2024)
Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. CoRR (2024)
Vuthea Chheang, Saurabh Narain, Garrett Hooten, Robert William Cerda, Brian Au, Brian Thomas Weston, Brian Giera, Peer-Timo Bremer, Haichao Miao
Enabling Additive Manufacturing Part Inspection of Digital Twins via Collaborative Virtual Reality. CoRR (2024)
Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. 29 (3) (2023)
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.
Workflows Community Summit 2022: A Roadmap Revolution. CoRR (2023)
Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. CoRR (2023)
Michela Taufer, Heberth F. Martinez, Jakob Lüttgau, Lauren Whitnah, Giorgio Scorzelli, Pania Newell, Aashish Panta, Peer-Timo Bremer, Douglas Fils, Christine R. Kirkpatrick, Valerio Pascucci
Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric. Comput. Sci. Eng. 25 (5) (2023)
Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. CVPR (2023)
Peer-Timo Bremer, Kristi Potter, Steffen Frey, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Jonas Lukasczyk, Nicole Marsiglia
Preface IEEE LDAV 2023. LDAV (2023)
Peer-Timo Bremer, Brian K. Spears, Tom Gibbs, Michael Bussmann
AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). Dagstuhl Reports 13 (3) (2023)
Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models. CoRR (2023)
Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi
Accelerating Flow Simulations using Online Dynamic Mode Decomposition. CoRR (2023)
Harsh Bhatia, Duong Hoang, Nate Morrical, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom
AMM: Adaptive Multilinear Meshes. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
Aniketh Venkat, Attila Gyulassy, Graham Kosiba, Amitesh Maiti, Henry Reinstein, Richard Gee, Peer-Timo Bremer, Valerio Pascucci
Towards replacing physical testing of granular materials with a Topology-based Model. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Pavol Klacansky, Haichao Miao, Attila Gyulassy, Andrew Townsend, Kyle Champley, Joseph Tringe, Valerio Pascucci, Peer-Timo Bremer
Virtual Inspection of Additively Manufactured Parts. PacificVis (2022)
Aniketh Venkat, Duong Hoang, Attila Gyulassy, Peer-Timo Bremer, Frederick Federer, Alessandra Angelucci, Valerio Pascucci
High-Quality Progressive Alignment of Large 3D Microscopy Data. LDAV (2022)
Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Peer-Timo Bremer
Single Model Uncertainty Estimation via Stochastic Data Centering. CoRR (2022)
Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Peer-Timo Bremer
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. CoRR (2022)
Jayaraman J. Thiagarajan, Rushil Anirudh, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. Healthcare AI and COVID-19 Workshop (2022)
Fikret Aydin, Konstantia Georgouli, Gautham Dharuman, James N. Glosli, Felice C. Lightstone, Helgi I. Ingólfsson, Peer-Timo Bremer, Harsh Bhatia
Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning. CoRR (2022)
Konstantia Georgouli, Helgi I. Ingólfsson, Fikret Aydin, Mark Heimann, Felice C. Lightstone, Peer-Timo Bremer, Harsh Bhatia
Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints. CoRR (2022)
Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer
Sparsity Improves Unsupervised Attribute Discovery in Stylegan. ICASSP (2022)
Harsh Bhatia, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Tomas Oppelstrup, Helgi I. Ingólfsson, Felice C. Lightstone, Peer-Timo Bremer
A biology-informed similarity metric for simulated patches of human cell membrane. Mach. Learn. Sci. Technol. 3 (3) (2022)
Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
A Study of the Locality of Persistence-Based Queries and Its Implications for the Efficiency of Localized Data Structures. PacificVis (2022)
Zhimin Li, Shusen Liu, Xin Yu, Kailkhura Bhavya, Jie Cao, Diffenderfer James Daniel, Peer-Timo Bremer, Valerio Pascucci
"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches. CoRR (2022)
Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. Healthcare AI and COVID-19 Workshop (2022)
Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Michael K. G. Kruse, Ryan Nora
Suppressing simulation bias in multi-modal data using transfer learning. Mach. Learn. Sci. Technol. 3 (1) (2022)
Joseph Y. Moon, Pratik Mukherjee, Ravi K. Madduri, Amy J. Markowitz, Lanya T. Cai, Eva M. Palacios, Geoffrey T. Manley, Peer-Timo Bremer
The Case for Optimized Edge-Centric Tractography at Scale. Frontiers Neuroinformatics 16 (2022)
J. Luc Peterson, Benjamin Bay, Joe Koning, Peter B. Robinson, Jessica Semler, Jeremy White, Rushil Anirudh, Kevin Athey, Peer-Timo Bremer, Francesco Di Natale, David Fox, Jim A. Gaffney, Sam Ade Jacobs, Bhavya Kailkhura, Bogdan Kustowski, Steve H. Langer, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom
Enabling machine learning-ready HPC ensembles with Merlin. Future Gener. Comput. Syst. 131 (2022)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI (2021)
Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang, Joseph R. Chavez, Fikret Aydin, Chris 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. Ingólfsson
Generalizable coordination of large multiscale workflows: challenges and learnings at scale. SC (2021)
Harsh Bhatia, Steve Petruzza, Rushil Anirudh, Attila Gyulassy, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer
Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows. ISVC (1) (2021)
Harsh Bhatia, Timothy S. Carpenter, Helgi I. Ingólfsson, Gautham Dharuman, Piyush Karande, Shusen Liu, Tomas Oppelstrup, Chris Neale, Felice C. Lightstone, Brian Van Essen, James N. Glosli, Peer-Timo Bremer
Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations. Nat. Mach. Intell. 3 (5) (2021)
Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan
Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data. CoRR (2021)
Zhimin Li, Harshitha Menon, Kathryn Mohror, Peer-Timo Bremer, Yarden Livnat, Valerio Pascucci
Understanding a program's resiliency through error propagation. PPoPP (2021)
Torin McDonald, Rebika Shrestha, Xiyu Yi, Harsh Bhatia, De Chen, Debanjan Goswami, Valerio Pascucci, Thomas Turbyville, Peer-Timo Bremer
Leveraging Topological Events in Tracking Graphs for Understanding Particle Diffusion. Comput. Graph. Forum 40 (3) (2021)
Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Cihan Tepedelenlioglu, Andreas Spanias
Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization. IEEE Trans. Neural Networks Learn. Syst. 32 (3) (2021)
Xuan Huang, Pavol Klacansky, Steve Petruzza, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
Distributed merge forest: a new fast and scalable approach for topological analysis at scale. ICS (2021)
Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar, Peer-Timo Bremer
MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis. Frontiers Big Data 4 (2021)
Sergei Shudler, Steve Petruzza, Valerio Pascucci, Peer-Timo Bremer
Portable and Composable Flow Graphs for In Situ Analytics. LDAV (2021)
Zhimin Li, Harshitha Menon, Dan Maljovec, Yarden Livnat, Shusen Liu, Kathryn Mohror, Peer-Timo Bremer, Valerio Pascucci
SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems. IEEE Trans. Vis. Comput. Graph. 27 (10) (2021)
Harsh Bhatia, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer
Vector Field Decompositions Using Multiscale Poisson Kernel. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR (2021)
Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer
Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. IEEE Trans. Vis. Comput. Graph. 27 (4) (2021)
Duong Hoang, Brian Summa, Harsh Bhatia, Peter Lindstrom, Pavol Klacansky, Will Usher, Peer-Timo Bremer, Valerio Pascucci
Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR (2020)
Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Peer-Timo Bremer
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking. Int. J. Comput. Vis. 128 (10) (2020)
Harsh Bhatia, Duong Hoang, Garrett Morrison, Will Usher, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom
AMM: Adaptive Multilinear Meshes. CoRR (2020)
Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer
Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections. Mach. Learn. Sci. Technol. 1 (4) (2020)
Gemma J. Anderson, Jim A. Gaffney, Brian K. Spears, Peer-Timo Bremer, Rushil Anirudh, Jayaraman J. Thiagarajan
Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations. CoRR (2020)
Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. CoRR (2020)
Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian K. Spears
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models. CoRR (2020)
Shusen Liu, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
Toward Localized Topological Data Structures: Querying the Forest for the Tree. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Jayaraman J. Thiagarajan, Peer-Timo Bremer, Rushil Anirudh, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. CoRR (2020)
Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears
Improved surrogates in inertial confinement fusion with manifold and cycle consistencies. Proc. Natl. Acad. Sci. USA 117 (18) (2020)
Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. AAAI (2020)
Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR (2020)
Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies. CoRR (2019)
Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CoRR (2019)
Duong Hoang, Pavol Klacansky, Harsh Bhatia, Peer-Timo Bremer, Peter Lindstrom, Valerio Pascucci
A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer
Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum. ICASSP (2019)
Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, Jayaraman J. Thiagarajan
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452). Dagstuhl Reports 9 (11) (2019)
Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer
Function Preserving Projection for Scalable Exploration of High-Dimensional Data. CoRR (2019)
J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven H. Langer, Peter B. Robinson, Jessica Semler, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom
Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR (2019)
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
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CLUSTER (2019)
Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. CoRR (2019)
Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer
Understanding Deep Neural Networks through Input Uncertainties. ICASSP (2019)
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer
A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis. CoRR (2019)
Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Brian K. Spears
Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion. CoRR (2019)
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 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. Ingólfsson
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC (2019)
Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. CoRR (2019)
Will Usher, Pavol Klacansky, Frederick Federer, Peer-Timo Bremer, Aaron Knoll, Jeff Yarch, Alessandra Angelucci, Valerio Pascucci
A Virtual Reality Visualization Tool for Neuron Tracing. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer
Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. Comput. Graph. Forum 37 (3) (2018)
Harsh Bhatia, Nikhil Jain, Abhinav Bhatele, Yarden Livnat, Jens Domke, Valerio Pascucci, Peer-Timo Bremer
Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope. Comput. Graph. Forum 37 (3) (2018)
Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. IEEE Trans. Vis. Comput. Graph. 24 (7) (2018)
Gordon L. Kindlmann, Charisee Chiw, T. Huynh, Attila Gyulassy, John H. Reppy, Peer-Timo Bremer
Rendering and Extracting Extremal Features in 3D Fields. Comput. Graph. Forum 37 (3) (2018)
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. IPDPS (2018)
Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. EMNLP (Demonstration) (2018)
Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer
Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization. CoRR (2018)
Harsh Bhatia, Attila Gyulassy, Vincenzo Lordi, John E. Pask, Valerio Pascucci, Peer-Timo Bremer
TopoMS: Comprehensive topological exploration for molecular and condensed-matter systems. J. Comput. Chem. 39 (16) (2018)
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. J. Mach. Learn. Res. 19 (2018)
Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer
Unsupervised Dimension Selection using a Blue Noise Spectrum. CoRR (2018)
Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, Valerio Pascucci
Visual Exploration of Semantic Relationships in Neural Word Embeddings. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer
Understanding Deep Neural Networks through Input Uncertainties. CoRR (2018)
Wathsala Widanagamaachchi, Yarden Livnat, Peer-Timo Bremer, Scott L. DuVall, Valerio Pascucci
Interactive Visualization and Exploration of Patient Progression in a Hospital Setting. AMIA (2017)
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. CoRR (2017)
Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz
ScrubJay: deriving knowledge from the disarray of HPC performance data. SC (2017)
Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
ISAVS: interactive scalable analysis and visualization system. SIGGRAPH Asia Symposium on Visualization (2017)
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
Visualizing High-Dimensional Data: Advances in the Past Decade. IEEE Trans. Vis. Comput. Graph. 23 (3) (2017)
Wathsala Widanagamaachchi, Alexander Jacques, Bei Wang, Erik Crosman, Peer-Timo Bremer, Valerio Pascucci, John D. Horel
Exploring the evolution of pressure-perturbations to understand atmospheric phenomena. PacificVis (2017)
Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms. TopHPC (2017)
Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Peer-Timo Bremer
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. CoRR (2017)

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Peer-Timo Bremer