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Timo Bremer
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- affiliation: Lawrence Livermore National Laboratory, Livermore, CA, USA
- affiliation (former): University of California, Davis, USA
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Journal Articles
- 2023
[j76]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): 1691-1704 (2023)- 2022
- [j75]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: 255-268 (2022) - [j74]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: 752471 (2022) - [j73]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): 15035 (2022) - [j72]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): 35010 (2022) - [j71]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): 76-85 (2022) - [j70]Harsh Bhatia, Duong Hoang, Nate Morrical, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom:
AMM: Adaptive Multilinear Meshes. IEEE Trans. Vis. Comput. Graph. 28(6): 2350-2363 (2022) - 2021
- [j69]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): 251-262 (2021) - [j68]Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar, Peer-Timo Bremer:
MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis. Frontiers Big Data 4: 589417 (2021) - [j67]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): 401-409 (2021) - [j66]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): 1241-1253 (2021) - [j65]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): 603-613 (2021) - [j64]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): 2455-2468 (2021) - [j63]Harsh Bhatia, Robert M. Kirby, Valerio Pascucci, Peer-Timo Bremer:
Vector Field Decompositions Using Multiscale Poisson Kernel. IEEE Trans. Vis. Comput. Graph. 27(9): 3781-3793 (2021) - [j62]Zhimin Li, Harshitha Menon, Dan Maljovec, Yarden Livnat, Shusen Liu, Kathryn M. 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): 3938-3952 (2021) - 2020
- [j61]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): 2459-2477 (2020) - [j60]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) - [j59]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): 45016 (2020) - [j58]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): 9741-9746 (2020) - [j57]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): 173-183 (2020) - [j56]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): 291-300 (2020) - 2019
- [j55]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): 651-660 (2019) - [j54]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): 1183-1192 (2019) - [j53]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): 1193-1203 (2019) - 2018
- [j52]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): 241-251 (2018) - [j51]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): 525-536 (2018) - [j50]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): 561-572 (2018) - [j49]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): 936-952 (2018) - [j48]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: 34:1-34:46 (2018) - [j47]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): 553-562 (2018) - [j46]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): 994-1003 (2018) - [j45]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): 2180-2193 (2018) - 2017
- [j44]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): 1249-1268 (2017) - [j43]Dongmei Niu, Peer-Timo Bremer, Peter Lindstrom, Bernd Hamann, Yuanfeng Zhou, Caiming Zhang:
Two-dimensional shape retrieval using the distribution of extrema of Laplacian eigenfunctions. Vis. Comput. 33(5): 607-624 (2017) - 2016
- [j42]Shusen Liu, Peer-Timo Bremer, J. J. Jayaraman, Bei Wang, Brian Summa, Valerio Pascucci:
The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data. Comput. Graph. Forum 35(3): 1-10 (2016) - [j41]Dan Maljovec, Shusen Liu, Bei Wang, Diego Mandelli, Peer-Timo Bremer, Valerio Pascucci, Curtis L. Smith:
Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study. Reliab. Eng. Syst. Saf. 145: 262-276 (2016) - [j40]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Pramod K. Varshney:
Stair blue noise sampling. ACM Trans. Graph. 35(6): 248:1-248:10 (2016) - [j39]Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. 27(3): 829-840 (2016) - [j38]Attila Gyulassy, Aaron Knoll, Kah Chun Lau, Bei Wang, Peer-Timo Bremer, Michael E. Papka, Larry A. Curtiss, Valerio Pascucci:
Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Materials. IEEE Trans. Vis. Comput. Graph. 22(1): 916-925 (2016) - 2015
- [j37]Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Valerio Pascucci:
Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections. Comput. Graph. Forum 34(3): 271-280 (2015) - [j36]Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer:
Local, smooth, and consistent Jacobi set simplification. Comput. Geom. 48(4): 311-332 (2015) - [j35]Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian K. Spears, Valerio Pascucci:
ND2AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign. Comput. Vis. Sci. 17(1): 1-18 (2015) - [j34]Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, Todd Gamblin, Holger Brunst:
Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022). Dagstuhl Manifestos 5(1): 1-24 (2015) - [j33]Sujin Philip, Brian Summa, Julien Tierny, Peer-Timo Bremer, Valerio Pascucci:
Distributed Seams for Gigapixel Panoramas. IEEE Trans. Vis. Comput. Graph. 21(3): 350-362 (2015) - 2014
- [j32]Harsh Bhatia, Valerio Pascucci, Robert M. Kirby, Peer-Timo Bremer:
Extracting Features from Time-Dependent Vector Fields Using Internal Reference Frames. Comput. Graph. Forum 33(3): 21-30 (2014) - [j31]Attila Gyulassy, Peer-Timo Bremer, Ray W. Grout, Hemanth Kolla, Jacqueline Chen, Valerio Pascucci:
Stability of Dissipation Elements: A Case Study in Combustion. Comput. Graph. Forum 33(3): 51-60 (2014) - [j30]Shusen Liu, Bei Wang, Peer-Timo Bremer, Valerio Pascucci:
Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data. Comput. Graph. Forum 33(3): 101-110 (2014) - [j29]Harsh Bhatia, Valerio Pascucci, Peer-Timo Bremer:
The Natural Helmholtz-Hodge Decomposition for Open-Boundary Flow Analysis. IEEE Trans. Vis. Comput. Graph. 20(11): 1566-1578 (2014) - [j28]Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann:
Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. IEEE Trans. Vis. Comput. Graph. 20(12): 2349-2358 (2014) - 2013
- [j27]Gregory Norgard, Peer-Timo Bremer:
Robust computation of Morse-Smale complexes of bilinear functions. Comput. Aided Geom. Des. 30(6): 577-587 (2013) - [j26]Gregory Norgard, Peer-Timo Bremer:
Ridge-Valley graphs: Combinatorial ridge detection using Jacobi sets. Comput. Aided Geom. Des. 30(6): 597-608 (2013) - [j25]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:
Ultrascale Visualization of Climate Data. Computer 46(9): 68-76 (2013) - [j24]Harsh Bhatia, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer:
Comments on the "Meshless Helmholtz-Hodge Decomposition". IEEE Trans. Vis. Comput. Graph. 19(3): 527-528 (2013) - [j23]Harsh Bhatia, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer:
The Helmholtz-Hodge Decomposition - A Survey. IEEE Trans. Vis. Comput. Graph. 19(8): 1386-1404 (2013) - [j22]Atul Rungta, Brian Summa, Dogan Demir, Peer-Timo Bremer, Valerio Pascucci:
ManyVis: Multiple Applications in an Integrated Visualization Environment. IEEE Trans. Vis. Comput. Graph. 19(12): 2878-2885 (2013) - 2012
- [j21]Joshua A. Levine, Shreeraj Jadhav, Harsh Bhatia, Valerio Pascucci, Peer-Timo Bremer:
A Quantized Boundary Representation of 2D Flows. Comput. Graph. Forum 31(3pt1): 945-954 (2012) - [j20]Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, Guoning Chen, Joshua A. Levine, Luis Gustavo Nonato, Valerio Pascucci:
Flow Visualization with Quantified Spatial and Temporal Errors Using Edge Maps. IEEE Trans. Vis. Comput. Graph. 18(9): 1383-1396 (2012) - [j19]Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci:
Computing Morse-Smale Complexes with Accurate Geometry. IEEE Trans. Vis. Comput. Graph. 18(12): 2014-2022 (2012) - [j18]Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci:
Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. 18(12): 2467-2476 (2012) - 2011
- [j17]Kenes Beketayev, Gunther H. Weber, Maciej Haranczyk, Peer-Timo Bremer, Mario Hlawitschka, Bernd Hamann:
Topology-based Visualization of Transformation Pathways in Complex Chemical Systems. Comput. Graph. Forum 30(3): 663-672 (2011) - [j16]Brian Summa, Giorgio Scorzelli, Ming Jiang, Peer-Timo Bremer, Valerio Pascucci:
Interactive editing of massive imagery made simple: Turning Atlanta into Atlantis. ACM Trans. Graph. 30(2): 7:1-7:13 (2011) - [j15]Peer-Timo Bremer, Gunther H. Weber, Julien Tierny, Valerio Pascucci, Marcus S. Day, John B. Bell:
Interactive Exploration and Analysis of Large-Scale Simulations Using Topology-Based Data Segmentation. IEEE Trans. Vis. Comput. Graph. 17(9): 1307-1324 (2011) - [j14]Janine Bennett, Vaidyanathan Krishnamoorthy, Shusen Liu, Ray W. Grout, Evatt R. Hawkes, Jacqueline H. Chen, Jason Shepherd, Valerio Pascucci, Peer-Timo Bremer:
Feature-Based Statistical Analysis of Combustion Simulation Data. IEEE Trans. Vis. Comput. Graph. 17(12): 1822-1831 (2011) - [j13]Carlos D. Correa, Peter Lindstrom, Peer-Timo Bremer:
Topological Spines: A Structure-preserving Visual Representation of Scalar Fields. IEEE Trans. Vis. Comput. Graph. 17(12): 1842-1851 (2011) - [j12]Sean Williams, Mark R. Petersen, Peer-Timo Bremer, Matthew Hecht, Valerio Pascucci, James P. Ahrens, Mario Hlawitschka, Bernd Hamann:
Adaptive Extraction and Quantification of Geophysical Vortices. IEEE Trans. Vis. Comput. Graph. 17(12): 2088-2095 (2011) - 2010
- [j11]Peer-Timo Bremer, Gunther H. Weber, Valerio Pascucci, Marcus S. Day, John B. Bell:
Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames. IEEE Trans. Vis. Comput. Graph. 16(2): 248-260 (2010) - [j10]Samuel Gerber, Peer-Timo Bremer, Valerio Pascucci, Ross T. Whitaker:
Visual Exploration of High Dimensional Scalar Functions. IEEE Trans. Vis. Comput. Graph. 16(6): 1271-1280 (2010) - 2009
- [j9]Attila Gyulassy, Luis Gustavo Nonato, Peer-Timo Bremer, Cláudio T. Silva, Valerio Pascucci:
Robust Topology-Based Multiscale Analysis of Scientific Data. Comput. Sci. Eng. 11(5): 88-95 (2009) - 2008
- [j8]Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann, Valerio Pascucci:
A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality. IEEE Trans. Vis. Comput. Graph. 14(6): 1619-1626 (2008) - 2007
- [j7]Valerio Pascucci, Giorgio Scorzelli, Peer-Timo Bremer, Ajith Mascarenhas:
Robust on-line computation of Reeb graphs: simplicity and speed. ACM Trans. Graph. 26(3): 58 (2007) - [j6]Gunther H. Weber, Peer-Timo Bremer, Valerio Pascucci:
Topological Landscapes: A Terrain Metaphor for Scientific Data. IEEE Trans. Vis. Comput. Graph. 13(6): 1416-1423 (2007) - 2006
- [j5]Vijay Natarajan, Yusu Wang, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Segmenting molecular surfaces. Comput. Aided Geom. Des. 23(6): 495-509 (2006) - [j4]Shen Dong, Peer-Timo Bremer, Michael Garland, Valerio Pascucci, John C. Hart:
Spectral surface quadrangulation. ACM Trans. Graph. 25(3): 1057-1066 (2006) - [j3]Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann:
A Topological Approach to Simplification of Three-Dimensional Scalar Functions. IEEE Trans. Vis. Comput. Graph. 12(4): 474-484 (2006) - [j2]David E. Laney, Peer-Timo Bremer, Ajith Mascarenhas, Paul L. Miller, Valerio Pascucci:
Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities. IEEE Trans. Vis. Comput. Graph. 12(5): 1053-1060 (2006) - 2004
- [j1]Peer-Timo Bremer, Herbert Edelsbrunner, Bernd Hamann, Valerio Pascucci:
A Topological Hierarchy for Functions on Triangulated Surfaces. IEEE Trans. Vis. Comput. Graph. 10(4): 385-396 (2004)
Conference and Workshop Papers
- 2023
- [c83]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: 7981-7990 - [c82]Peer-Timo Bremer, Kristi Potter, Steffen Frey, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Jonas Lukasczyk, Nicole Marsiglia:
Preface IEEE LDAV 2023. LDAV 2023: vi - 2022
- [c81]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: 81-90 - [c80]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: 121-130 - [c79]Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Sparsity Improves Unsupervised Attribute Discovery in Stylegan. ICASSP 2022: 3388-3392 - [c78]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: 54-62 - [c77]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: 63-72 - [c76]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: 1-10 - [c75]Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer:
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. NeurIPS 2022 - [c74]Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer:
Single Model Uncertainty Estimation via Stochastic Data Centering. NeurIPS 2022 - 2021
- [c73]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI 2021: 7891-7898 - [c72]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: 367-377 - [c71]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: 235-248 - [c70]Sergei Shudler, Steve Petruzza, Valerio Pascucci, Peer-Timo Bremer:
Portable and Composable Flow Graphs for In Situ Analytics. LDAV 2021: 63-72 - [c69]Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Peer-Timo Bremer, Yarden Livnat, Valerio Pascucci:
Understanding a program's resiliency through error propagation. PPoPP 2021: 362-373 - [c68]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:
Generalizable coordination of large multiscale workflows: challenges and learnings at scale. SC 2021: 10 - 2020
- [c67]Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer:
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. AAAI 2020: 6005-6012 - [c66]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer:
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning. NeurIPS 2020 - 2019
- [c65]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: 1-10 - [c64]Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer:
Understanding Deep Neural Networks through Input Uncertainties. ICASSP 2019: 2812-2816 - [c63]Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer:
Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum. ICASSP 2019: 5436-5440 - [c62]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:
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC 2019: 57:1-57:16 - 2018
- [c61]Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Timo Bremer:
Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. CVPR 2018: 6343-6352 - [c60]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: 36-41 - [c59]Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer:
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. IPDPS 2018: 463-473 - 2017
- [c58]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 - [c57]Wathsala Widanagamaachchi, Alexander Jacques, Bei Wang, Erik T. Crosman, Peer-Timo Bremer, Valerio Pascucci, John D. Horel:
Exploring the evolution of pressure-perturbations to understand atmospheric phenomena. PacificVis 2017: 101-110 - [c56]Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization. CVPR Workshops 2017: 690-698 - [c55]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: 35 - [c54]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: 18:1-18:8 - [c53]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: 53-68 - 2016
- [c52]Harsh Bhatia, Attila Gyulassy, Valerio Pascucci, Martina Bremer, Mitchell T. Ong, Vincenzo Lordi, Erik W. Draeger, John E. Pask, Peer-Timo Bremer:
Interactive exploration of atomic trajectories through relative-angle distribution and associated uncertainties. PacificVis 2016: 120-127 - [c51]Ivan Rodero, Manish Parashar, Aaditya G. Landge, Sidharth Kumar, Valerio Pascucci, Peer-Timo Bremer:
Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. CCGrid 2016: 156-164 - [c50]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Pramod K. Varshney:
Theoretical guarantees for poisson disk sampling using pair correlation function. ICASSP 2016: 2589-2593 - [c49]Abhinav Bhatele, Nikhil Jain, Yarden Livnat, Valerio Pascucci, Peer-Timo Bremer:
Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers. IPDPS 2016: 93-102 - [c48]Cameron Christensen, Ji-Woo Lee, Shusen Liu, Peer-Timo Bremer, Giorgio Scorzelli, Valerio Pascucci:
Embedded domain-specific language and runtime system for progressive spatiotemporal data analysis and visualization. LDAV 2016: 1-10 - [c47]Rushil Anirudh, Jayaraman J. Thiagarajan, Timo Bremer, Hyojin Kim:
Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data. Medical Imaging: Computer-Aided Diagnosis 2016: 978532 - [c46]Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar:
In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows. ESPM2@SC 2016: 2-9 - [c45]Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer:
VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC 2016: 25-28 - [c44]David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz:
Caliper: performance introspection for HPC software stacks. SC 2016: 550-560 - 2015
- [c43]Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
A Randomized Ensemble Approach to Industrial CT Segmentation. ICCV 2015: 1707-1715 - [c42]Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, Laxmikant V. Kalé:
Identifying the Culprits Behind Network Congestion. IPDPS 2015: 113-122 - [c41]Wathsala Widanagamaachchi, Jackie Chen, Pavol Klacansky, Valerio Pascucci, Hemanth Kolla, Ankit Bhagatwala, Peer-Timo Bremer:
Tracking features in embedded surfaces: Understanding extinction in turbulent combustion. LDAV 2015: 9-16 - [c40]Benafsh Husain, Alfredo Giménez, Joshua A. Levine, Todd Gamblin, Peer-Timo Bremer:
Relating memory performance data to application domain data using an integration API. VPA@SC 2015: 5:1-5:8 - [c39]Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Recovering logical structure from Charm++ event traces. SC 2015: 49:1-49:12 - [c38]Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci:
Visualizing High-Dimensional Data: Advances in the Past Decade. EuroVis (STARs) 2015: 127-147 - 2014
- [c37]Jayaraman J. Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy:
Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation. ICASSP 2014: 6751-6755 - [c36]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias:
Automatic image annotation using inverse maps from semantic embeddings. ICIP 2014: 3107-3111 - [c35]Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Image segmentation using consensus from hierarchical segmentation ensembles. ICIP 2014: 3272-3276 - [c34]Wathsala Widanagamaachchi, Peer-Timo Bremer, Christopher M. Sewell, Li-Ta Lo, James P. Ahrens, Valerio Pascucci:
Data-parallel halo finding with variable linking lengths. LDAV 2014: 27-34 - [c33]Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Valerio Pascucci:
Multivariate volume visualization through dynamic projections. LDAV 2014: 35-42 - [c32]Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann:
Extracting logical structure and identifying stragglers in parallel execution traces. PPoPP 2014: 397-398 - [c31]Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Bernd Hamann:
Visualizing the five-dimensional torus network of the IBM blue gene/Q. VPA@SC 2014: 24-27 - [c30]Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann:
Dissecting On-Node Memory Access Performance: A Semantic Approach. SC 2014: 166-176 - [c29]Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Valerio Pascucci:
Efficient I/O and Storage of Adaptive-Resolution Data. SC 2014: 413-423 - [c28]Aaditya G. Landge, Valerio Pascucci, Attila Gyulassy, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer:
In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees. SC 2014: 1020-1031 - [c27]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:
Fast Multiresolution Reads of Massive Simulation Datasets. ISC 2014: 314-330 - [c26]Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
State of the Art of Performance Visualization. EuroVis (STARs) 2014 - 2013
- [c25]Sujin Philip, Brian Summa, Julien Tierny, Peer-Timo Bremer, Valerio Pascucci:
Scalable Seams for Gigapixel Panoramas. EGPGV@Eurographics 2013: 25-32 - [c24]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:
Performance Analysis Techniques for the Exascale Co-Design Process. PARCO 2013: 19-32 - [c23]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:
Exploring power behaviors and trade-offs of in-situ data analytics. SC 2013: 77:1-77:12 - 2012
- [c22]Valerio Pascucci, Peer-Timo Bremer, Attila Gyulassy, Giorgio Scorzelli, Cameron Christensen, Brian Summa, Sidharth Kumar:
Scalable Visualization and Interactive Analysis Using Massive Data Streams. High Performance Computing Workshop (1) 2012: 212-230 - [c21]Wathsala Widanagamaachchi, Cameron Christensen, Peer-Timo Bremer, Valerio Pascucci:
Interactive exploration of large-scale time-varying data using dynamic tracking graphs. LDAV 2012: 9-17 - [c20]William C. McLendon, Gaurav Bansal, Peer-Timo Bremer, Jacqueline Chen, Hemanth Kolla, Janine Bennett:
On the use of graph search techniques for the analysis of extreme-scale combustion simulation data. LDAV 2012: 57-63 - [c19]Shusen Liu, Joshua A. Levine, Peer-Timo Bremer, Valerio Pascucci:
Gaussian mixture model based volume visualization. LDAV 2012: 73-77 - [c18]Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann:
Novel views of performance data to analyze large-scale adaptive applications. SC 2012: 31 - [c17]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:
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. SC 2012: 49 - [c16]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:
Mapping applications with collectives over sub-communicators on torus networks. SC 2012: 97 - [c15]Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Abstract: Exploring Performance Data with Boxfish. SC Companion 2012: 1380-1381 - [c14]Dogan Demir, Kenes Beketayev, Gunther H. Weber, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Topology exploration with hierarchical landscapes. WASA 2012: 147-154 - 2011
- [c13]Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, Guoning Chen, Joshua A. Levine, Luis Gustavo Nonato, Valerio Pascucci:
Edge maps: Representing flow with bounded error. PacificVis 2011: 75-82 - [c12]Sujin Philip, Brian Summa, Peer-Timo Bremer, Valerio Pascucci:
Parallel Gradient Domain Processing of Massive Images. EGPGV@Eurographics 2011: 11-19 - [c11]Sujin Philip, Brian Summa, Valerio Pascucci, Peer-Timo Bremer:
Hybrid CPU-GPU Solver for Gradient Domain Processing of Massive Images. ICPADS 2011: 244-251 - [c10]Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci:
Interpreting Performance Data across Intuitive Domains. ICPP 2011: 206-215 - [c9]David C. Thompson, Joshua A. Levine, Janine Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay:
Analysis of large-scale scalar data using hixels. LDAV 2011: 23-30 - [c8]Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci:
Creating a Tool Set for Optimizing Topology-Aware Node Mappings. Parallel Tools Workshop 2011: 1-12 - 2010
- [c7]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:
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network. HPDC 2010: 316-319 - 2009
- [c6]Peer-Timo Bremer, Gunther H. Weber, Julien Tierny, Valerio Pascucci, Marcus S. Day, John B. Bell:
A Topological Framework for the Interactive Exploration of Large Scale Turbulent Combustion. eScience 2009: 247-254 - [c5]Kristin Potter, Andrew T. Wilson, Peer-Timo Bremer, Dean N. Williams, Charles M. Doutriaux, Valerio Pascucci, Chris R. Johnson:
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data. ICDM Workshops 2009: 233-240 - 2005
- [c4]Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Maximizing Adaptivity in Hierarchical Topological Models. SMI 2005: 300-309 - [c3]Peer-Timo Bremer, John C. Hart:
A Sampling Theorem for MLS Surfaces. PBG 2005: 47-54 - [c2]Attila Gyulassy, Vijay Natarajan, Valerio Pascucci, Peer-Timo Bremer, Bernd Hamann:
Topology-based Simplification for Feature Extraction from 3D Scalar Fields. IEEE Visualization 2005: 535-542 - 2003
- [c1]Peer-Timo Bremer, Herbert Edelsbrunner, Bernd Hamann, Valerio Pascucci:
A Multi-Resolution Data Structure for 2-Dimensional Morse Functions. IEEE Visualization 2003: 139-146
Parts in Books or Collections
- 2015
- [p10]Attila Gyulassy, Harsh Bhatia, Peer-Timo Bremer, Valerio Pascucci:
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 2015: 205-218 - 2014
- [p9]Harsh Bhatia, Attila Gyulassy, Hao Wang, Peer-Timo Bremer, Valerio Pascucci:
Robust Detection of Singularities in Vector Fields. Topological Methods in Data Analysis and Visualization 2014: 3-18 - [p8]Joshua A. Levine, David C. Thompson, Janine C. Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay:
Analysis of Uncertain Scalar Data with Hixels. Scientific Visualization 2014: 35-44 - [p7]Janine Bennett, Attila Gyulassy, Valerio Pascucci, Peer-Timo Bremer:
Large Scale Data Analysis. Scientific Visualization 2014: 339-351 - 2012
- [p6]Valerio Pascucci, Giorgio Scorzelli, Brian Summa, Peer-Timo Bremer, Attila Gyulassy, Cameron Christensen, Sujin Philip, Sidharth Kumar:
The ViSUS Visualization Framework. High Performance Visualization 2012 - 2011
- [p5]Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann, Valerio Pascucci:
Practical Considerations in Morse-Smale Complex Computation. Topological Methods in Data Analysis and Visualization 2011: 67-78 - [p4]Ajith Mascarenhas, Ray W. Grout, Peer-Timo Bremer, Evatt R. Hawkes, Valerio Pascucci, Jacqueline H. Chen:
Topological Feature Extraction for Comparison of Terascale Combustion Simulation Data. Topological Methods in Data Analysis and Visualization 2011: 229-240 - [p3]Gunther H. Weber, Peer-Timo Bremer, Marcus S. Day, John B. Bell, Valerio Pascucci:
Feature Tracking Using Reeb Graphs. Topological Methods in Data Analysis and Visualization 2011: 241-253 - 2009
- [p2]Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees. Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration 2009: 1-18 - 2007
- [p1]Peer-Timo Bremer, Valerio Pascucci:
A Practical Approach to Two-Dimensional Scalar Topology. Topology-based Methods in Visualization 2007: 151-169
Editorship
- 2015
- [e3]Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz:
Proceedings of the 2nd Workshop on Visual Performance Analysis, VPA 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4013-7 [contents] - 2014
- [e2]Peer-Timo Bremer, Ingrid Hotz, Valerio Pascucci, Ronald Peikert:
Topological Methods in Data Analysis and Visualization III, Theory, Algorithms, and Applications. Springer 2014, ISBN 978-3-319-04098-1 [contents] - [e1]Peer-Timo Bremer, Bernd Mohr, Martin Schulz, Valerio Pascucci:
Proceedings of the First Workshop on Visual Performance Analysis, VPA '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7058-2 [contents]
Informal and Other Publications
- 2024
- [i42]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 abs/2403.08940 (2024) - 2023
- [i41]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 abs/2303.10774 (2023) - [i40]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.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i39]Zhimin Li, Shusen Liu, Bhavya Kailkhura, Timo Bremer, Valerio Pascucci:
Instance-wise Linearization of Neural Network for Model Interpretation. CoRR abs/2310.16295 (2023) - [i38]Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi:
Accelerating Flow Simulations using Online Dynamic Mode Decomposition. CoRR abs/2311.18715 (2023) - [i37]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 abs/2312.04494 (2023) - [i36]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): 106-131 (2023) - 2022
- [i35]Zhimin Li, Shusen Liu, Xin Yu, Bhavya Kailkhura, Jie Cao, James Daniel Diffenderfer, Peer-Timo Bremer, Valerio Pascucci:
"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches. CoRR abs/2206.07918 (2022) - [i34]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 abs/2207.04075 (2022) - [i33]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 abs/2207.04333 (2022) - [i32]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 abs/2207.06630 (2022) - [i31]Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Peer-Timo Bremer:
Single Model Uncertainty Estimation via Stochastic Data Centering. CoRR abs/2207.07235 (2022) - 2021
- [i30]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 abs/2104.09684 (2021) - [i29]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 abs/2111.12798 (2021) - 2020
- [i28]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 abs/2005.02328 (2020) - [i27]Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR abs/2007.01395 (2020) - [i26]Harsh Bhatia, Duong Hoang, Garrett Morrison, Will Usher, Valerio Pascucci, Peer-Timo Bremer, Peter Lindstrom:
AMM: Adaptive Multilinear Meshes. CoRR abs/2007.15219 (2020) - [i25]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR abs/2009.14454 (2020) - [i24]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 abs/2010.06558 (2020) - [i23]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 abs/2010.08478 (2020) - [i22]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 abs/2010.13749 (2020) - 2019
- [i21]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 abs/1906.02732 (2019) - [i20]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 abs/1907.08325 (2019) - [i19]Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer:
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. CoRR abs/1909.04079 (2019) - [i18]Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Function Preserving Projection for Scalable Exploration of High-Dimensional Data. CoRR abs/1909.11804 (2019) - [i17]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 abs/1910.01666 (2019) - [i16]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 abs/1910.02270 (2019) - [i15]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 abs/1912.02892 (2019) - [i14]Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer:
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking. CoRR abs/1912.07748 (2019) - [i13]Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears:
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies. CoRR abs/1912.08113 (2019) - [i12]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): 24-33 (2019) - 2018
- [i11]Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer:
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks. CoRR abs/1805.07281 (2018) - [i10]Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization. CoRR abs/1809.01712 (2018) - [i9]Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer:
Understanding Deep Neural Networks through Input Uncertainties. CoRR abs/1810.13425 (2018) - [i8]Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer:
Unsupervised Dimension Selection using a Blue Noise Spectrum. CoRR abs/1810.13427 (2018) - [i7]Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer:
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense. CoRR abs/1811.08484 (2018) - 2017
- [i6]Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar, Timo Bremer:
Influential Sample Selection: A Graph Signal Processing Approach. CoRR abs/1711.05407 (2017) - [i5]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 abs/1711.10388 (2017) - [i4]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 abs/1712.06028 (2017) - [i3]Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer:
Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. CoRR abs/1712.07106 (2017) - 2014
- [i2]Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz:
Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022). Dagstuhl Reports 4(1): 17-35 (2014) - 2013
- [i1]Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer:
Local, Smooth, and Consistent Jacobi Set Simplification. CoRR abs/1307.7752 (2013)
Coauthor Index
[j71] [j70] [j69] [j65] [j63] [j62] [j60] [j57] [j56] [j55] [j54] [j53] [j50] [j49] [j47] [j46] [j44] [j42] [j41] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j16] [j15] [j14] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c81] [c80] [c76] [c72] [c71] [c70] [c69] [c60] [c59] [c58] [c57] [c54] [c53] [c52] [c51] [c49] [c48] [c41] [c38] [c34] [c33] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [c21] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c2] [c1] [p10] [p9] [p8] [p7] [p6] [p5] [p4] [p3] [p2] [p1] [e3] [e2] [e1] [i39] [i37] [i35] [i26] [i20] [i2] [i1]
[j75] [j73] [j72] [j68] [j66] [j61] [j59] [j58] [j56] [j52] [j48] [j47] [j40] [j37] [c83] [c79] [c78] [c77] [c74] [c73] [c67] [c66] [c65] [c64] [c63] [c61] [c56] [c50] [c47] [c43] [c42] [c37] [c36] [c35] [c33] [i41] [i31] [i30] [i29] [i28] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3]
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