Peer-Timo Bremer

224 papers A* 4A 20B 13C 2Misc 7Journal 129Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches. IEEE Trans. Vis. Comput. Graph. Zhimin Li, Shusen Liu, Xin Yu, Bhavya Kailkhura, Jie Cao, James Daniel Diffenderfer, Peer-Timo Bremer, Valerio Pascucci
2025	J	`jnl`	Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data. IEEE Trans. Vis. Comput. Graph. Xuan Huang, Haichao Miao, Hyojin Kim, Andrew Townsend, Kyle Champley, Joseph W. Tringe, Valerio Pascucci, Peer-Timo Bremer
2025	B	`conf`	Exploring Bichronous Collaboration in Virtual Environments. VRST Alexander Giovannelli, Shakiba Davari, Cherelle Connor, Fionn Chamberlain Murphy, Trey Davis, Haichao Miao, Vuthea Chheang, Brian Giera, Peer-Timo Bremer, Doug A. Bowman
2025	J	`jnl`	Exploring Bichronous Collaboration in Virtual Environments. CoRR Alexander Giovannelli, Shakiba Davari, Cherelle Connor, Fionn Murphy, Trey Davis, Haichao Miao, Vuthea Chheang, Brian Giera, Peer-Timo Bremer, Doug A. Bowman
2025	J	`jnl`	Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality. CoRR Leonardo Pavanatto, Alexander Giovannelli, Brian Giera, Peer-Timo Bremer, Haichao Miao, Doug A. Bowman
2025	J	`jnl`	Investigating the Influence of Playback Interactivity during Guided Tours for Asynchronous Collaboration in Virtual Reality. CoRR Alexander Giovannelli, Leonardo Pavanatto, Shakiba Davari, Haichao Miao, Vuthea Chheang, Brian Giera, Peer-Timo Bremer, Doug A. Bowman
2025	J	`jnl`	LatticeAnalytics: Strut-Level Visualization and Inspection of Additively Manufactured Lattice Structures. IEEE Trans. Vis. Comput. Graph. Haichao Miao, Saurabh Narain, Vuthea Chheang, Garrett Hooten, Raiyan Seede, Pavol Klacansky, Kaila Morgen Bertsch, Gabe Guss, Brian Giera, Peer-Timo Bremer
2025	J	`jnl`	Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience. CoRR Loïc Pottier, Konstantia Georgouli, Timothy S. Carpenter, Fikret Aydin, Jeremy O. B. Tempkin, Dwight V. Nissley, Frederick H. Streitz, Thomas R. W. Scogland, Peer-Timo Bremer, Felice C. Lightstone, Helgi I. Ingólfsson
2025	J	`jnl`	ParaView-MCP: An Autonomous Visualization Agent with Direct Tool Use. CoRR Shusen Liu, Haichao Miao, Peer-Timo Bremer
2025	J	`jnl`	The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure
2024	—	`conf`	A Virtual Environment for Collaborative Inspection in Additive Manufacturing. CHI Extended Abstracts Vuthea Chheang, Brian Thomas Weston, Robert William Cerda, Brian Au, Brian Giera, Peer-Timo Bremer, Haichao Miao
2024	J	`jnl`	A Virtual Environment for Collaborative Inspection in Additive Manufacturing. CoRR Vuthea Chheang, Brian Thomas Weston, Robert William Cerda, Brian Au, Brian Giera, Peer-Timo Bremer, Haichao Miao
2024	J	`jnl`	A Visual Comparison of Silent Error Propagation. IEEE Trans. Vis. Comput. Graph. Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Shusen Liu, Luanzheng Guo, Peer-Timo Bremer, Valerio Pascucci
2024	J	`jnl`	AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. Comput. Graph. Forum Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer
2024	J	`jnl`	Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data. CoRR Xuan Huang, Haichao Miao, Hyojin Kim, Andrew Townsend, Kyle Champley, Joseph W. Tringe, Valerio Pascucci, Peer-Timo Bremer
2024	J	`jnl`	Enabling Additive Manufacturing Part Inspection of Digital Twins via Collaborative Virtual Reality. CoRR Vuthea Chheang, Saurabh Narain, Garrett Hooten, Robert William Cerda, Brian Au, Brian Thomas Weston, Brian Giera, Peer-Timo Bremer, Haichao Miao
2024	A	`conf`	HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. SC Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
2024	J	`jnl`	HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. CoRR Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
2024	—	`conf`	IEEE LDAV 2024 Preface. LDAV Johanna Beyer, Steffen Frey, Guido Reina, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Nicole Marsaglia, Peer-Timo Bremer, Kenneth Moreland, Kristi Potter, Julien Tierny, Chaoli Wang, Hongfeng Yu
2024	J	`jnl`	MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline. Neuroinformatics 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
2023	J	`jnl`	AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). Dagstuhl Reports Peer-Timo Bremer, Brian K. Spears, Tom Gibbs, Michael Bussmann
2023	J	`jnl`	AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. CoRR Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer
2023	J	`jnl`	Accelerating Flow Simulations using Online Dynamic Mode Decomposition. CoRR Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi
2023	A*	`conf`	Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. CVPR Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
2023	J	`jnl`	Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models. CoRR Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
2023	J	`jnl`	Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric. Comput. Sci. Eng. 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
2023	—	`conf`	Preface IEEE LDAV 2023. LDAV Peer-Timo Bremer, Kristi Potter, Steffen Frey, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Jonas Lukasczyk, Nicole Marsaglia
2023	J	`jnl`	Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
2023	J	`jnl`	Workflows Community Summit 2022: A Roadmap Revolution. CoRR 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 E. 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.
2022	J	`jnl`	"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches. CoRR Zhimin Li, Shusen Liu, Xin Yu, Bhavya Kailkhura, Jie Cao, James Daniel Diffenderfer, Peer-Timo Bremer, Valerio Pascucci
2022	B	`conf`	A Study of the Locality of Persistence-Based Queries and Its Implications for the Efficiency of Localized Data Structures. PacificVis Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
2022	J	`jnl`	A biology-informed similarity metric for simulated patches of human cell membrane. Mach. Learn. Sci. Technol. Harsh Bhatia, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Tomas Oppelstrup, Helgi I. Ingólfsson, Felice C. Lightstone, Peer-Timo Bremer
2022	J	`jnl`	AMM: Adaptive Multilinear Meshes. IEEE Trans. Vis. Comput. Graph. Harsh Bhatia, Duong Hoang, Nate Morrical, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom
2022	—	`conf`	Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. Healthcare AI and COVID-19 Workshop Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
2022	J	`jnl`	Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints. CoRR Konstantia Georgouli, Helgi I. Ingólfsson, Fikret Aydin, Mark Heimann, Felice C. Lightstone, Peer-Timo Bremer, Harsh Bhatia
2022	J	`jnl`	Enabling machine learning-ready HPC ensembles with Merlin. Future Gener. Comput. Syst. 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
2022	—	`conf`	High-Quality Progressive Alignment of Large 3D Microscopy Data. LDAV Aniketh Venkat, Duong Hoang, Attila Gyulassy, Peer-Timo Bremer, Frederick Federer, Alessandra Angelucci, Valerio Pascucci
2022	J	`jnl`	Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning. CoRR Fikret Aydin, Konstantia Georgouli, Gautham Dharuman, James N. Glosli, Felice C. Lightstone, Helgi I. Ingólfsson, Peer-Timo Bremer, Harsh Bhatia
2022	—	`conf`	Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. Healthcare AI and COVID-19 Workshop Jayaraman J. Thiagarajan, Rushil Anirudh, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
2022	J	`jnl`	Models Out of Line: A Fourier Lens on Distribution Shift Robustness. CoRR Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Peer-Timo Bremer
2022	J	`jnl`	Single Model Uncertainty Estimation via Stochastic Data Centering. CoRR Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Peer-Timo Bremer
2022	Misc	`conf`	Sparsity Improves Unsupervised Attribute Discovery in Stylegan. ICASSP Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2022	J	`jnl`	Suppressing simulation bias in multi-modal data using transfer learning. Mach. Learn. Sci. Technol. 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
2022	J	`jnl`	The Case for Optimized Edge-Centric Tractography at Scale. Frontiers Neuroinformatics Joseph Y. Moon, Pratik Mukherjee, Ravi K. Madduri, Amy J. Markowitz, Lanya T. Cai, Eva M. Palacios, Geoffrey T. Manley, Peer-Timo Bremer
2022	J	`jnl`	Towards replacing physical testing of granular materials with a Topology-based Model. IEEE Trans. Vis. Comput. Graph. Aniketh Venkat, Attila Gyulassy, Graham Kosiba, Amitesh Maiti, Henry Reinstein, Richard Gee, Peer-Timo Bremer, Valerio Pascucci
2022	B	`conf`	Virtual Inspection of Additively Manufactured Parts. PacificVis Pavol Klacansky, Haichao Miao, Attila Gyulassy, Andrew Townsend, Kyle Champley, Joseph W. Tringe, Valerio Pascucci, Peer-Timo Bremer
2021	A*	`conf`	Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
2021	J	`jnl`	Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization. IEEE Trans. Neural Networks Learn. Syst. Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Cihan Tepedelenlioglu, Andreas Spanias
2021	—	`conf`	Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows. ISVC (1) Harsh Bhatia, Steve Petruzza, Rushil Anirudh, Attila Gyulassy, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer
2021	A	`conf`	Distributed merge forest: a new fast and scalable approach for topological analysis at scale. ICS Xuan Huang, Pavol Klacansky, Steve Petruzza, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
2021	J	`jnl`	Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution. IEEE Trans. Vis. Comput. Graph. Duong Hoang, Brian Summa, Harsh Bhatia, Peter Lindstrom, Pavol Klacansky, Will Usher, Peer-Timo Bremer, Valerio Pascucci
2021	A	`conf`	Generalizable coordination of large multiscale workflows: challenges and learnings at scale. SC 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. Ingólfsson
2021	J	`jnl`	Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga
2021	J	`jnl`	Leveraging Topological Events in Tracking Graphs for Understanding Particle Diffusion. Comput. Graph. Forum Torin McDonald, Rebika Shrestha, Xiyu Yi, Harsh Bhatia, De Chen, Debanjan Goswami, Valerio Pascucci, Thomas Turbyville, Peer-Timo Bremer
2021	J	`jnl`	MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis. Frontiers Big Data Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar, Peer-Timo Bremer
2021	J	`jnl`	Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations. Nat. Mach. Intell. 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
2021	—	`conf`	Portable and Composable Flow Graphs for In Situ Analytics. LDAV Sergei Shudler, Steve Petruzza, Valerio Pascucci, Peer-Timo Bremer
2021	J	`jnl`	SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems. IEEE Trans. Vis. Comput. Graph. Zhimin Li, Harshitha Menon, Dan Maljovec, Yarden Livnat, Shusen Liu, Kathryn M. Mohror, Peer-Timo Bremer, Valerio Pascucci
2021	J	`jnl`	Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data. CoRR Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan
2021	B	`conf`	Understanding a program's resiliency through error propagation. PPoPP Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Peer-Timo Bremer, Yarden Livnat, Valerio Pascucci
2021	J	`jnl`	Vector Field Decompositions Using Multiscale Poisson Kernel. IEEE Trans. Vis. Comput. Graph. Harsh Bhatia, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer
2021	J	`jnl`	Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. IEEE Trans. Vis. Comput. Graph. Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer
2020	J	`jnl`	A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 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
2020	J	`jnl`	AMM: Adaptive Multilinear Meshes. CoRR Harsh Bhatia, Duong Hoang, Garrett Morrison, Will Usher, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom
2020	J	`jnl`	Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. CoRR Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
2020	J	`jnl`	Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
2020	A*	`conf`	Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. AAAI Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer
2020	J	`jnl`	Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models. CoRR Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian K. Spears
2020	J	`jnl`	Improved surrogates in inertial confinement fusion with manifold and cycle consistencies. Proc. Natl. Acad. Sci. USA Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears
2020	J	`jnl`	Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. CoRR Jayaraman J. Thiagarajan, Peer-Timo Bremer, Rushil Anirudh, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
2020	J	`jnl`	Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations. CoRR Gemma J. Anderson, Jim A. Gaffney, Brian K. Spears, Peer-Timo Bremer, Rushil Anirudh, Jayaraman J. Thiagarajan
2020	J	`jnl`	MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking. Int. J. Comput. Vis. Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Peer-Timo Bremer
2020	J	`jnl`	Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
2020	J	`jnl`	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Trans. Vis. Comput. Graph. 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
2020	J	`jnl`	Toward Localized Topological Data Structures: Querying the Forest for the Tree. IEEE Trans. Vis. Comput. Graph. Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
2020	J	`jnl`	Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections. Mach. Learn. Sci. Technol. Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2019	J	`jnl`	A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis. CoRR Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer
2019	J	`jnl`	A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. Duong Hoang, Pavol Klacansky, Harsh Bhatia, Peer-Timo Bremer, Peter Lindstrom, Valerio Pascucci
2019	A	`conf`	A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC 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. Ingólfsson
2019	J	`jnl`	Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. CoRR Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer
2019	J	`jnl`	Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion. CoRR Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Brian K. Spears
2019	J	`jnl`	Function Preserving Projection for Scalable Exploration of High-Dimensional Data. CoRR Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2019	J	`jnl`	Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies. CoRR Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears
2019	J	`jnl`	Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452). Dagstuhl Reports Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, Jayaraman J. Thiagarajan
2019	J	`jnl`	Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR 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
2019	J	`jnl`	NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models. IEEE Trans. Vis. Comput. Graph. Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer
2019	C	`conf`	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CLUSTER 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	J	`jnl`	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. CoRR 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
2019	J	`jnl`	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. CoRR 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
2019	J	`jnl`	Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy. IEEE Trans. Vis. Comput. Graph. Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
2019	Misc	`conf`	Understanding Deep Neural Networks through Input Uncertainties. ICASSP Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer
2019	Misc	`conf`	Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum. ICASSP Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer
2018	J	`jnl`	A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. J. Mach. Learn. Res. Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer
2018	J	`jnl`	A Virtual Reality Visualization Tool for Neuron Tracing. IEEE Trans. Vis. Comput. Graph. Will Usher, Pavol Klacansky, Frederick Federer, Peer-Timo Bremer, Aaron Knoll, Jeff Yarch, Alessandra Angelucci, Valerio Pascucci
2018	A	`conf`	BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. IPDPS Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
2018	J	`jnl`	Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization. CoRR Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2018	J	`jnl`	Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. Comput. Graph. Forum Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer
2018	J	`jnl`	Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope. Comput. Graph. Forum Harsh Bhatia, Nikhil Jain, Abhinav Bhatele, Yarden Livnat, Jens Domke, Valerio Pascucci, Peer-Timo Bremer
2018	J	`jnl`	MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. IEEE Trans. Vis. Comput. Graph. Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
2018	J	`jnl`	Rendering and Extracting Extremal Features in 3D Fields. Comput. Graph. Forum Gordon L. Kindlmann, Charisee Chiw, T. Huynh, Attila Gyulassy, John H. Reppy, Peer-Timo Bremer
2018	J	`jnl`	TopoMS: Comprehensive topological exploration for molecular and condensed-matter systems. J. Comput. Chem. Harsh Bhatia, Attila Gyulassy, Vincenzo Lordi, John E. Pask, Valerio Pascucci, Peer-Timo Bremer
2018	J	`jnl`	Understanding Deep Neural Networks through Input Uncertainties. CoRR Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer
2018	J	`jnl`	Unsupervised Dimension Selection using a Blue Noise Spectrum. CoRR Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer
2018	J	`jnl`	Visual Exploration of Semantic Relationships in Neural Word Embeddings. IEEE Trans. Vis. Comput. Graph. Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, Valerio Pascucci
2018	—	`conf`	Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. EMNLP (Demonstration) Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer
2017	J	`jnl`	A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. CoRR Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer
2017	J	`jnl`	Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. CoRR Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer
2017	B	`conf`	Exploring the evolution of pressure-perturbations to understand atmospheric phenomena. PacificVis Wathsala Widanagamaachchi, Alexander Jacques, Bei Wang, Erik T. Crosman, Peer-Timo Bremer, Valerio Pascucci, John D. Horel
2017	—	`conf`	ISAVS: interactive scalable analysis and visualization system. SIGGRAPH Asia Symposium on Visualization Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
2017	Misc	`conf`	Interactive Visualization and Exploration of Patient Progression in a Hospital Setting. AMIA Wathsala Widanagamaachchi, Yarden Livnat, Peer-Timo Bremer, Scott L. DuVall, Valerio Pascucci
2017	J	`jnl`	Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. CoRR Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Peer-Timo Bremer
2017	—	`conf`	Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization. CVPR Workshops Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2017	—	`conf`	Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms. TopHPC Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
2017	A	`conf`	ScrubJay: deriving knowledge from the disarray of HPC performance data. SC Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz
2017	J	`jnl`	Two-dimensional shape retrieval using the distribution of extrema of Laplacian eigenfunctions. Vis. Comput. Dongmei Niu, Peer-Timo Bremer, Peter Lindstrom, Bernd Hamann, Yuanfeng Zhou, Caiming Zhang
2017	J	`jnl`	Visualizing High-Dimensional Data: Advances in the Past Decade. IEEE Trans. Vis. Comput. Graph. Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2016	A	`conf`	Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers. IPDPS Abhinav Bhatele, Nikhil Jain, Yarden Livnat, Valerio Pascucci, Peer-Timo Bremer
2016	J	`jnl`	Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study. Reliab. Eng. Syst. Saf. Dan Maljovec, Shusen Liu, Bei Wang, Diego Mandelli, Peer-Timo Bremer, Valerio Pascucci, Curtis L. Smith
2016	A	`conf`	Caliper: performance introspection for HPC software stacks. SC David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz
2016	—	`conf`	Embedded domain-specific language and runtime system for progressive spatiotemporal data analysis and visualization. LDAV Cameron Christensen, Ji-Woo Lee, Shusen Liu, Peer-Timo Bremer, Giorgio Scorzelli, Valerio Pascucci
2016	B	`conf`	Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. CCGrid Ivan Rodero, Manish Parashar, Aaditya G. Landge, Sidharth Kumar, Valerio Pascucci, Peer-Timo Bremer
2016	—	`conf`	In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows. ESPM2@SC Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar
2016	B	`conf`	Interactive exploration of atomic trajectories through relative-angle distribution and associated uncertainties. PacificVis Harsh Bhatia, Attila Gyulassy, Valerio Pascucci, Martina Bremer, Mitchell T. Ong, Vincenzo Lordi, Erik W. Draeger, John E. Pask, Peer-Timo Bremer
2016	J	`jnl`	Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Materials. IEEE Trans. Vis. Comput. Graph. Attila Gyulassy, Aaron Knoll, Kah Chun Lau, Bei Wang, Peer-Timo Bremer, Michael E. Papka, Larry A. Curtiss, Valerio Pascucci
2016	J	`jnl`	Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2016	J	`jnl`	Stair blue noise sampling. ACM Trans. Graph. Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Pramod K. Varshney
2016	J	`jnl`	The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data. Comput. Graph. Forum Shusen Liu, Peer-Timo Bremer, J. J. Jayaraman, Bei Wang, Brian Summa, Valerio Pascucci
2016	Misc	`conf`	Theoretical guarantees for poisson disk sampling using pair correlation function. ICASSP Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Pramod K. Varshney
2016	—	`conf`	VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer
2015	A*	`conf`	A Randomized Ensemble Approach to Industrial CT Segmentation. ICCV Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2015	—	`ch.`	Computing Accurate Morse-Smale Complexes from Gradient Vector Fields. Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces Attila Gyulassy, Harsh Bhatia, Peer-Timo Bremer, Valerio Pascucci
2015	J	`jnl`	Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022). Dagstuhl Manifestos Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, Todd Gamblin, Holger Brunst
2015	J	`jnl`	Distributed Seams for Gigapixel Panoramas. IEEE Trans. Vis. Comput. Graph. Sujin Philip, Brian Summa, Julien Tierny, Peer-Timo Bremer, Valerio Pascucci
2015	A	`conf`	Identifying the Culprits Behind Network Congestion. IPDPS Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, Laxmikant V. Kalé
2015	J	`jnl`	Local, smooth, and consistent Jacobi set simplification. Comput. Geom. Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer
2015	J	`jnl`	ND Comput. Vis. Sci. Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian K. Spears, Valerio Pascucci
2015	—	`ed.`	Proceedings of the 2nd Workshop on Visual Performance Analysis, VPA 2015, Austin, Texas, USA, November 15, 2015 VPA@SC Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz
2015	A	`conf`	Recovering logical structure from Charm++ event traces. SC Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2015	—	`conf`	Relating memory performance data to application domain data using an integration API. VPA@SC Benafsh Husain, Alfredo Giménez, Joshua A. Levine, Todd Gamblin, Peer-Timo Bremer
2015	—	`conf`	Tracking features in embedded surfaces: Understanding extinction in turbulent combustion. LDAV Wathsala Widanagamaachchi, Jackie Chen, Pavol Klacansky, Valerio Pascucci, Hemanth Kolla, Ankit Bhagatwala, Peer-Timo Bremer
2015	J	`jnl`	Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections. Comput. Graph. Forum Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Valerio Pascucci
2015	—	`conf`	Visualizing High-Dimensional Data: Advances in the Past Decade. EuroVis (STARs) Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2014	—	`ch.`	Analysis of Uncertain Scalar Data with Hixels. Scientific Visualization Joshua A. Levine, David C. Thompson, Janine C. Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay
2014	B	`conf`	Automatic image annotation using inverse maps from semantic embeddings. ICIP Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias
2014	J	`jnl`	Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. IEEE Trans. Vis. Comput. Graph. Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann
2014	J	`jnl`	Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022). Dagstuhl Reports Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz
2014	—	`conf`	Data-parallel halo finding with variable linking lengths. LDAV Wathsala Widanagamaachchi, Peer-Timo Bremer, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens, Valerio Pascucci
2014	A	`conf`	Dissecting On-Node Memory Access Performance: A Semantic Approach. SC Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann
2014	J	`jnl`	Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data. Comput. Graph. Forum Shusen Liu, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2014	A	`conf`	Efficient I/O and Storage of Adaptive-Resolution Data. SC Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Valerio Pascucci
2014	J	`jnl`	Extracting Features from Time-Dependent Vector Fields Using Internal Reference Frames. Comput. Graph. Forum Harsh Bhatia, Valerio Pascucci, Robert M. Kirby, Peer-Timo Bremer
2014	B	`conf`	Extracting logical structure and identifying stragglers in parallel execution traces. PPoPP Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann
2014	C	`conf`	Fast Multiresolution Reads of Massive Simulation Datasets. ISC Sidharth Kumar, Cameron Christensen, John A. Schmidt, Peer-Timo Bremer, Eric Brugger, Venkatram Vishwanath, Philip H. Carns, Hemanth Kolla, Ray W. Grout, Jacqueline Chen, Martin Berzins, Giorgio Scorzelli, Valerio Pascucci
2014	B	`conf`	Image segmentation using consensus from hierarchical segmentation ensembles. ICIP Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2014	A	`conf`	In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees. SC Aaditya G. Landge, Valerio Pascucci, Attila Gyulassy, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer
2014	—	`ch.`	Large Scale Data Analysis. Scientific Visualization Janine Bennett, Attila Gyulassy, Valerio Pascucci, Peer-Timo Bremer
2014	Misc	`conf`	Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation. ICASSP Jayaraman J. Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy
2014	—	`conf`	Multivariate volume visualization through dynamic projections. LDAV Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Valerio Pascucci
2014	—	`ed.`	Proceedings of the First Workshop on Visual Performance Analysis, VPA '14, New Orleans, Louisiana, USA, November 16-21, 2014 VPA@SC Peer-Timo Bremer, Bernd Mohr, Martin Schulz, Valerio Pascucci
2014	—	`ch.`	Robust Detection of Singularities in Vector Fields. Topological Methods in Data Analysis and Visualization Harsh Bhatia, Attila Gyulassy, Hao Wang, Peer-Timo Bremer, Valerio Pascucci
2014	J	`jnl`	Stability of Dissipation Elements: A Case Study in Combustion. Comput. Graph. Forum Attila Gyulassy, Peer-Timo Bremer, Ray W. Grout, Hemanth Kolla, Jacqueline Chen, Valerio Pascucci
2014	—	`conf`	State of the Art of Performance Visualization. EuroVis (STARs) Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2014	J	`jnl`	The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis. IEEE Trans. Vis. Comput. Graph. Harsh Bhatia, Valerio Pascucci, Peer-Timo Bremer
2014	—	`book`	Topological Methods in Data Analysis and Visualization III, Theory, Algorithms, and Applications Peer-Timo Bremer, Ingrid Hotz, Valerio Pascucci, Ronald Peikert
2014	—	`conf`	Visualizing the five-dimensional torus network of the IBM blue gene/Q. VPA@SC Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Bernd Hamann
2013	J	`jnl`	Comments on the "Meshless Helmholtz-Hodge Decomposition". IEEE Trans. Vis. Comput. Graph. Harsh Bhatia, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer
2013	A	`conf`	Exploring power behaviors and trade-offs of in-situ data analytics. SC 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
2013	J	`jnl`	Local, Smooth, and Consistent Jacobi Set Simplification. CoRR Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer
2013	J	`jnl`	ManyVis: Multiple Applications in an Integrated Visualization Environment. IEEE Trans. Vis. Comput. Graph. Atul Rungta, Brian Summa, Dogan Demir, Peer-Timo Bremer, Valerio Pascucci
2013	—	`conf`	Performance Analysis Techniques for the Exascale Co-Design Process. PARCO Martin Schulz, James F. Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua A. Levine, Valerio Pascucci, David F. Richards, Barry Rountree
2013	J	`jnl`	Ridge-Valley graphs: Combinatorial ridge detection using Jacobi sets. Comput. Aided Geom. Des. Gregory Norgard, Peer-Timo Bremer
2013	J	`jnl`	Robust computation of Morse-Smale complexes of bilinear functions. Comput. Aided Geom. Des. Gregory Norgard, Peer-Timo Bremer
2013	—	`conf`	Scalable Seams for Gigapixel Panoramas. EGPGV@Eurographics Sujin Philip, Brian Summa, Julien Tierny, Peer-Timo Bremer, Valerio Pascucci
2013	J	`jnl`	The Helmholtz-Hodge Decomposition - A Survey. IEEE Trans. Vis. Comput. Graph. Harsh Bhatia, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer
2013	J	`jnl`	Ultrascale Visualization of Climate Data. Computer Dean N. Williams, Peer-Timo Bremer, Charles M. Doutriaux, John Patchett, Sean Williams, Galen M. Shipman, Ross Miller, David Pugmire, Brian E. Smith, Chad A. Steed, E. Wes Bethel, Hank Childs, Harinarayan Krishnan, Prabhat, Michael F. Wehner, Cláudio T. Silva, Emanuele Santos, David Koop, Tommy Ellqvist, Jorge Poco, Berk Geveci, Aashish Chaudhary, Andy Bauer, Alexander Pletzer, Dave Kindig, Gerald Potter, Thomas P. Maxwell
2012	J	`jnl`	A Quantized Boundary Representation of 2D Flows. Comput. Graph. Forum Joshua A. Levine, Shreeraj Jadhav, Harsh Bhatia, Valerio Pascucci, Peer-Timo Bremer
2012	—	`conf`	Abstract: Exploring Performance Data with Boxfish. SC Companion Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
2012	A	`conf`	Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. SC Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pébay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen
2012	J	`jnl`	Computing Morse-Smale Complexes with Accurate Geometry. IEEE Trans. Vis. Comput. Graph. Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci
2012	J	`jnl`	Flow Visualization with Quantified Spatial and Temporal Errors Using Edge Maps. IEEE Trans. Vis. Comput. Graph. Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, Guoning Chen, Joshua A. Levine, Luis Gustavo Nonato, Valerio Pascucci
2012	—	`conf`	Gaussian mixture model based volume visualization. LDAV Shusen Liu, Joshua A. Levine, Peer-Timo Bremer, Valerio Pascucci
2012	—	`conf`	Interactive exploration of large-scale time-varying data using dynamic tracking graphs. LDAV Wathsala Widanagamaachchi, Cameron Christensen, Peer-Timo Bremer, Valerio Pascucci
2012	A	`conf`	Mapping applications with collectives over sub-communicators on torus networks. SC 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	A	`conf`	Novel views of performance data to analyze large-scale adaptive applications. SC Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
2012	—	`conf`	On the use of graph search techniques for the analysis of extreme-scale combustion simulation data. LDAV William C. McLendon, Gaurav Bansal, Peer-Timo Bremer, Jacqueline Chen, Hemanth Kolla, Janine Bennett
2012	Misc	`conf`	Scalable Visualization and Interactive Analysis Using Massive Data Streams. High Performance Computing Workshop (1) Valerio Pascucci, Peer-Timo Bremer, Attila Gyulassy, Giorgio Scorzelli, Cameron Christensen, Brian Summa, Sidharth Kumar
2012	—	`ch.`	The ViSUS Visualization Framework. High Performance Visualization Valerio Pascucci, Giorgio Scorzelli, Brian Summa, Peer-Timo Bremer, Attila Gyulassy, Cameron Christensen, Sujin Philip, Sidharth Kumar
2012	—	`conf`	Topology exploration with hierarchical landscapes. WASA Dogan Demir, Kenes Beketayev, Gunther H. Weber, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
2012	J	`jnl`	Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci
2011	J	`jnl`	Adaptive Extraction and Quantification of Geophysical Vortices. IEEE Trans. Vis. Comput. Graph. Sean Williams, Mark R. Petersen, Peer-Timo Bremer, Matthew Hecht, Valerio Pascucci, James P. Ahrens, Mario Hlawitschka, Bernd Hamann
2011	—	`conf`	Analysis of large-scale scalar data using hixels. LDAV David C. Thompson, Joshua A. Levine, Janine Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay
2011	—	`conf`	Creating a Tool Set for Optimizing Topology-Aware Node Mappings. Parallel Tools Workshop Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci
2011	B	`conf`	Edge maps: Representing flow with bounded error. PacificVis Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, Guoning Chen, Joshua A. Levine, Luis Gustavo Nonato, Valerio Pascucci
2011	—	`ch.`	Feature Tracking Using Reeb Graphs. Topological Methods in Data Analysis and Visualization Gunther H. Weber, Peer-Timo Bremer, Marcus S. Day, John B. Bell, Valerio Pascucci
2011	J	`jnl`	Feature-Based Statistical Analysis of Combustion Simulation Data. IEEE Trans. Vis. Comput. Graph. Janine Bennett, Vaidyanathan Krishnamoorthy, Shusen Liu, Ray W. Grout, Evatt R. Hawkes, Jacqueline H. Chen, Jason Shepherd, Valerio Pascucci, Peer-Timo Bremer
2011	B	`conf`	Hybrid CPU-GPU Solver for Gradient Domain Processing of Massive Images. ICPADS Sujin Philip, Brian Summa, Valerio Pascucci, Peer-Timo Bremer
2011	J	`jnl`	Interactive Exploration and Analysis of Large-Scale Simulations Using Topology-Based Data Segmentation. IEEE Trans. Vis. Comput. Graph. Peer-Timo Bremer, Gunther H. Weber, Julien Tierny, Valerio Pascucci, Marcus S. Day, John B. Bell
2011	J	`jnl`	Interactive editing of massive imagery made simple: Turning Atlanta into Atlantis. ACM Trans. Graph. Brian Summa, Giorgio Scorzelli, Ming Jiang, Peer-Timo Bremer, Valerio Pascucci
2011	B	`conf`	Interpreting Performance Data across Intuitive Domains. ICPP Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci
2011	—	`conf`	Parallel Gradient Domain Processing of Massive Images. EGPGV@Eurographics Sujin Philip, Brian Summa, Peer-Timo Bremer, Valerio Pascucci
2011	—	`ch.`	Practical Considerations in Morse-Smale Complex Computation. Topological Methods in Data Analysis and Visualization Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann, Valerio Pascucci
2011	—	`ch.`	Topological Feature Extraction for Comparison of Terascale Combustion Simulation Data. Topological Methods in Data Analysis and Visualization Ajith Mascarenhas, Ray W. Grout, Peer-Timo Bremer, Evatt R. Hawkes, Valerio Pascucci, Jacqueline H. Chen
2011	J	`jnl`	Topological Spines: A Structure-preserving Visual Representation of Scalar Fields. IEEE Trans. Vis. Comput. Graph. Carlos D. Correa, Peter Lindstrom, Peer-Timo Bremer
2011	J	`jnl`	Topology-based Visualization of Transformation Pathways in Complex Chemical Systems. Comput. Graph. Forum Kenes Beketayev, Gunther H. Weber, Maciej Haranczyk, Peer-Timo Bremer, Mario Hlawitschka, Bernd Hamann
2010	J	`jnl`	Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames. IEEE Trans. Vis. Comput. Graph. Peer-Timo Bremer, Gunther H. Weber, Valerio Pascucci, Marcus S. Day, John B. Bell
2010	A	`conf`	Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network. HPDC 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
2010	J	`jnl`	Visual Exploration of High Dimensional Scalar Functions. IEEE Trans. Vis. Comput. Graph. Samuel Gerber, Peer-Timo Bremer, Valerio Pascucci, Ross T. Whitaker
2009	—	`conf`	A Topological Framework for the Interactive Exploration of Large Scale Turbulent Combustion. eScience Peer-Timo Bremer, Gunther H. Weber, Julien Tierny, Valerio Pascucci, Marcus S. Day, John B. Bell
2009	—	`conf`	Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data. ICDM Workshops Kristin Potter, Andrew T. Wilson, Peer-Timo Bremer, Dean N. Williams, Charles M. Doutriaux, Valerio Pascucci, Chris R. Johnson
2009	—	`ch.`	Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees. Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
2009	J	`jnl`	Robust Topology-Based Multiscale Analysis of Scientific Data. Comput. Sci. Eng. Attila Gyulassy, Luis Gustavo Nonato, Peer-Timo Bremer, Cláudio T. Silva, Valerio Pascucci
2008	J	`jnl`	A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality. IEEE Trans. Vis. Comput. Graph. Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann, Valerio Pascucci
2007	—	`ch.`	A Practical Approach to Two-Dimensional Scalar Topology. Topology-based Methods in Visualization Peer-Timo Bremer, Valerio Pascucci
2007	J	`jnl`	Robust on-line computation of Reeb graphs: simplicity and speed. ACM Trans. Graph. Valerio Pascucci, Giorgio Scorzelli, Peer-Timo Bremer, Ajith Mascarenhas
2007	J	`jnl`	Topological Landscapes: A Terrain Metaphor for Scientific Data. IEEE Trans. Vis. Comput. Graph. Gunther H. Weber, Peer-Timo Bremer, Valerio Pascucci
2006	J	`jnl`	A Topological Approach to Simplification of Three-Dimensional Scalar Functions. IEEE Trans. Vis. Comput. Graph. Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann
2006	J	`jnl`	Segmenting molecular surfaces. Comput. Aided Geom. Des. Vijay Natarajan, Yusu Wang, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
2006	J	`jnl`	Spectral surface quadrangulation. ACM Trans. Graph. Shen Dong, Peer-Timo Bremer, Michael Garland, Valerio Pascucci, John C. Hart
2006	J	`jnl`	Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities. IEEE Trans. Vis. Comput. Graph. David E. Laney, Peer-Timo Bremer, Ajith Mascarenhas, Paul L. Miller, Valerio Pascucci
2005	—	`conf`	A Sampling Theorem for MLS Surfaces. PBG Peer-Timo Bremer, John C. Hart
2005	—	`conf`	Maximizing Adaptivity in Hierarchical Topological Models. SMI Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
2005	A	`conf`	Topology-based Simplification for Feature Extraction from 3D Scalar Fields. IEEE Visualization Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann
2004	J	`jnl`	A Topological Hierarchy for Functions on Triangulated Surfaces. IEEE Trans. Vis. Comput. Graph. Peer-Timo Bremer, Herbert Edelsbrunner, Bernd Hamann, Valerio Pascucci
2003	A	`conf`	A Multi-Resolution Data Structure for 2-Dimensional Morse Functions. IEEE Visualization Peer-Timo Bremer, Herbert Edelsbrunner, Bernd Hamann, Valerio Pascucci