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Arindam Fadikar
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Journal Articles
- 2019
- [j2]Srinivasan Venkatramanan
, Jiangzhuo Chen, Arindam Fadikar
, Sandeep Gupta, Dave Higdon, Bryan L. Lewis
, Madhav V. Marathe, Henning S. Mortveit
, Anil Vullikanti:
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15(9) (2019) - 2018
- [j1]Arindam Fadikar
, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan
, Madhav V. Marathe:
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6(4): 1685-1706 (2018)
Conference and Workshop Papers
- 2024
- [c5]Arindam Fadikar, Abby Stevens, Nicholson T. Collier, Kok Ben Toh, Olga Morozova, Anna Hotton, Jared Clark, David Higdon, Jonathan Ozik:
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo. IPDPS (Workshops) 2024: 843-852 - 2023
- [c4]Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik:
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. IPDPS Workshops 2023: 868-877 - [c3]Arindam Fadikar, Nicholson T. Collier, Abby Stevens, Jonathan Ozik, Mickaël Binois, Kok Ben Toh:
Trajectory-Oriented Optimization of Stochastic Epidemiological Models. WSC 2023: 1244-1255 - 2021
- [c2]Arindam Fadikar
, Stefan M. Wild
, Jonas Chaves-Montero
:
Scalable Statistical Inference of Photometric Redshift via Data Subsampling. ICCS (5) 2021: 245-258 - [c1]Dustin Machi, Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning S. Mortveit, Srinivasan Venkatramanan, Bryan L. Lewis, Mandy L. Wilson, Arindam Fadikar, Tom Maiden, Christopher L. Barrett, Madhav V. Marathe:
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS 2021: 639-650
Informal and Other Publications
- 2023
- [i2]Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik:
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. CoRR abs/2304.14244 (2023) - 2021
- [i1]Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
:
Scalable Statistical Inference of Photometric Redshift via Data Subsampling. CoRR abs/2103.16041 (2021)
Coauthor Index
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