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ORCIDAyan Biswas 0001
Person information
- affiliation: Los Alamos National Laboratory, Los Alamos, NM, USA
Other persons with the same name
- Ayan Biswas — disambiguation page
- Ayan Biswas 0002
![[0000-0002-1741-6286]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-1741-6286")
— Royal Military College of Canada, Kingston, ON, Canada - Ayan Biswas 0003 — Centre for Development of Telematics, New Delhi, Delhi, India
- Ayan Biswas 0004 — Ayar Labs, San Francisco, CA, USA
- Ayan Biswas 0005 — Purdue University System, West Lafayette, Indiana, USA
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2020 – today
- 2026
[j14]Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence:
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. IEEE Trans. Vis. Comput. Graph. 32(1): 1021-1031 (2026)- [i17]Mahindra Singh Rautela, Alexander Most, Siddharth Mansingh, Aleksandra Pachalieva, Bradley C. Love, Daniel O'Malley, Alexander Scheinker, Kyle Hickmann, Diane Oyen, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas:
Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading. CoRR abs/2603.04354 (2026) - [i16]Mahindra Singh Rautela, Alexander Scheinker, Bradley C. Love, Diane Oyen, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas:
PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion. CoRR abs/2603.04606 (2026) - [i15]Roxana Bujack, Li-Ta Lo, Ethan Stam, Ayan Biswas, David H. Rogers:
The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality. CoRR abs/2603.16873 (2026) - [i14]Mengdi Chu, Yang Liu, Ayan Biswas, Han-Wei Shen:
Do Physics Foundation Models Learn Generalizable Physics? A Bias-Aware Benchmark Across Physical Regimes and Distribution Shifts. CoRR abs/2605.29283 (2026) - [i13]Mengdi Chu, Jiaxin Yang, Angus G. Forbes, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas, Han-Wei Shen:
DiffUNet^2: Bidirectional Prediction, Probabilistic Generation and Collaborative Visual Discovery for Scientific Data. CoRR abs/2606.03926 (2026) - 2025
- [j13]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:
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. 39(1): 32-51 (2025) - [e2]George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam I. Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas:
Advances in Visual Computing - 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21-23, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15046, Springer 2025, ISBN 978-3-031-77391-4 [contents] - [e1]George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam I. Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas:
Advances in Visual Computing - 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21-23, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15047, Springer 2025, ISBN 978-3-031-77388-4 [contents] - [i12]Michael Grosskopf, Kellin N. Rumsey, Ayan Biswas, Earl Lawrence:
A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling. CoRR abs/2507.16771 (2025) - [i11]Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence:
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. CoRR abs/2507.21124 (2025) - [i10]Siddharth Mansingh, James Amarel, Ragib Arnab, Arvind T. Mohan, Kamaljeet Singh, Gerd J. Kunde, Nicolas Hengartner, Benjamin Migliori, Emily Casleton, Nathan DeBardeleben, Ayan Biswas, Diane Oyen, Earl Lawrence:
Towards Reasoning for PDE Foundation Models: A Reward-Model-Driven Inference-Time-Scaling Algorithm. CoRR abs/2509.02846 (2025) - [i9]Mahindra Singh Rautela, Alexander Most, Siddharth Mansingh, Bradley C. Love, Ayan Biswas, Diane Oyen, Earl Lawrence:
MORPH: Shape-agnostic PDE Foundation Models. CoRR abs/2509.21670 (2025) - [i8]Abu Bucker Siddik, Diane Oyen, Alexander Most, Michal Kucer, Ayan Biswas:
SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs. CoRR abs/2510.01370 (2025) - [i7]Haoyu Li, Isaac J. Michaud, Ayan Biswas, Han-Wei Shen:
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data. CoRR abs/2512.12442 (2025) - 2024
- [c21]Haoyu Li, Isaac J. Michaud, Ayan Biswas, Han-Wei Shen:
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data. PacificVis 2024: 252-261 - [c20]Ayan Biswas, Aditi Mishra, Meghanto Majumder, Subhashis Hazarika, Alexander Most, Juan Castorena, Christopher Bryan, Patrick S. McCormick, James P. Ahrens, Earl Lawrence, Aric A. Hagberg:
Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. SC Workshops 2024: 290-299 - [i6]Di Fan, Ayan Biswas, James Paul Ahrens:
Explainable AI Integrated Feature Engineering for Wildfire Prediction. CoRR abs/2404.01487 (2024) - 2023
- [j12]Megan Hickman Fulp, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun:
Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. 37(5): 539-559 (2023) - [j11]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29(1): 679-689 (2023) - [c19]Ayan Biswas, Arindam Bhattacharya, Yi-Tang Chen, Han-Wei Shen:
Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning. LDAV 2023: 12-16 - [i5]Derek DeSantis, Ayan Biswas, Earl Lawrence, Phillip Wolfram:
Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset. CoRR abs/2301.05551 (2023) - 2022
- [i4]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. CoRR abs/2208.03345 (2022) - 2021
- [j10]Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton:
Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. Comput. Sci. Eng. 23(1): 75-82 (2021) - [j9]Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens:
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27(12): 4439-4454 (2021) - [c18]Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence:
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE BigData 2021: 3731-3739 - [c17]Divya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence:
Topological Segmentation and Tracking for Space Weather Modeling. IEEE BigData 2021: 3784-3788 - [c16]Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram:
Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis 2021: 9-15 - [c15]Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban:
In Situ Climate Modeling for Analyzing Extreme Weather Events. ISAV@SC 2021: 18-23 - [c14]Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban:
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. ISAV@SC 2021: 31-36 - [c13]Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence:
TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations. DRBSD@SC 2021: 33-39 - 2020
- [j8]Ayan Biswas, Christopher M. Biwer, David J. Walters, James P. Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, Cynthia Bolme:
An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. Comput. Sci. Eng. 22(2): 44-54 (2020) - [c12]Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun:
Combining Spatial and Temporal Properties for Improvements in Data Reduction. IEEE BigData 2020: 2654-2663 - [c11]Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James P. Ahrens:
Foresight: analysis that matters for data reduction. SC 2020: 83 - [c10]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) 2020: 41-45 - [i3]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR abs/2008.13306 (2020)
2010 – 2019
- 2019
- [j7]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. Entropy 21(7): 699 (2019) - [j6]Daniel Orban, Daniel F. Keefe, Ayan Biswas, James P. Ahrens, David H. Rogers:
Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. IEEE Trans. Vis. Comput. Graph. 25(1): 256-266 (2019) - [i2]Soumya Dutta, Ayan Biswas, James P. Ahrens:
Multivariate Pointwise Information-Driven Data Sampling and Visualization. CoRR abs/1907.11762 (2019) - [i1]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [j5]Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen:
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy 20(7): 540 (2018) - [j4]Subhashis Hazarika, Ayan Biswas, Han-Wei Shen:
Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. 24(1): 934-943 (2018) - [c9]Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs:
A flexible system for in situ triggers. ISAV@SC 2018: 1-6 - [c8]Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens:
In situ data-driven adaptive sampling for large-scale simulation data summarization. ISAV@SC 2018: 13-18 - [c7]Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens:
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis 2018: 47-51 - 2017
- [j3]Ayan Biswas, Guang Lin, Xiaotong Liu, Han-Wei Shen:
Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. IEEE Trans. Vis. Comput. Graph. 23(1): 841-850 (2017) - [c6]Soumya Dutta, Xiaotong Liu, Ayan Biswas, Han-Wei Shen, Jen-Ping Chen:
Pointwise information guided visual analysis of time-varying multi-fields. SIGGRAPH Asia Symposium on Visualization 2017: 17:1-17:8 - 2016
- [c5]Ayan Biswas, Richard Strelitz, Jonathan Woodring, Chun-Ming Chen, Han-Wei Shen:
A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction. EGPGV@EuroVis 2016: 69-78 - 2015
- [j2]Tzu-Hsuan Wei, Chun-Ming Chen, Ayan Biswas:
Efficient Local Histogram Searching via Bitmap Indexing. Comput. Graph. Forum 34(3): 81-90 (2015) - [c4]Chun-Ming Chen, Ayan Biswas, Han-Wei Shen:
Uncertainty modeling and error reduction for pathline computation in time-varying flow fields. PacificVis 2015: 215-222 - [c3]Ayan Biswas, David S. Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, Anand Rangarajan:
An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. PacificVis 2015: 223-230 - 2014
- [c2]Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen:
Supporting correlation analysis on scientific datasets in parallel and distributed settings. HPDC 2014: 191-202 - [c1]Ayan Biswas, Han-Wei Shen:
Evaluation of stream surfaces using error quantification metrics. Visualization and Data Analysis 2014: 90170Z - 2013
- [j1]Ayan Biswas, Soumya Dutta, Han-Wei Shen, Jonathan Woodring:
An Information-Aware Framework for Exploring Multivariate Data Sets. IEEE Trans. Vis. Comput. Graph. 19(12): 2683-2692 (2013)
Coauthor Index
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