Arindam Fadikar

13 papers A 1Misc 2Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Automation and Collaboration in Complex Epidemiological Workflows with OSPREY. ICPP Workshops Jonathan Ozik, Nicholson T. Collier, Arindam Fadikar, Justin M. Wozniak, Valérie Hayot-Sasson, Kyle Conroy, Kyle Chard, Jacqueline Wentz, Erin Acquesta, Jaideep Ray
2025	J	`jnl`	Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs. CoRR Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar, Hatem Ltaief, Andreas Herten, Mathis Bode, Matthew T. Pratola, Arindam Fadikar, Marc G. Genton, David E. Keyes, Ying Sun
2024	Misc	`conf`	Distributed Model Exploration with EMEWS. WSC Nicholson T. Collier, Justin M. Wozniak, Arindam Fadikar, Abby Stevens, Jonathan Ozik
2024	—	`conf`	Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo. IPDPS (Workshops) Arindam Fadikar, Abby Stevens, Nicholson T. Collier, Kok Ben Toh, Olga Morozova, Anna Hotton, Jared Clark, David Higdon, Jonathan Ozik
2023	—	`conf`	Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. IPDPS Workshops Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik
2023	J	`jnl`	Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. CoRR Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik
2023	Misc	`conf`	Trajectory-Oriented Optimization of Stochastic Epidemiological Models. WSC Arindam Fadikar, Nicholson T. Collier, Abby Stevens, Jonathan Ozik, Mickaël Binois, Kok Ben Toh
2021	A	`conf`	Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS 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
2021	—	`conf`	Scalable Statistical Inference of Photometric Redshift via Data Subsampling. ICCS (5) Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
2021	J	`jnl`	Scalable Statistical Inference of Photometric Redshift via Data Subsampling. CoRR Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
2019	J	`jnl`	Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti
2019	—	`—`	Stochastic Computer Model Calibration and Uncertainty Quantification. Arindam Fadikar
2018	J	`jnl`	Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav V. Marathe