Aniruddha Adiga
Aniruddha Adiga
Research Scientist, Biocomplexity Institute and Initiative, UVA
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Cited by
Cited by
Mathematical models for covid-19 pandemic: a comparative analysis
A Adiga, D Dubhashi, B Lewis, M Marathe, S Venkatramanan, A Vullikanti
Journal of the Indian Institute of Science 100 (4), 793-807, 2020
Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021
RK Borchering
MMWR. Morbidity and Mortality Weekly Report 70, 2021
The united states covid-19 forecast hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific data 9 (1), 462, 2022
Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting
L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe
Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022
Evaluating the impact of international airline suspensions on the early global spread of COVID-19
A Adiga, S Venkatramanan, J Schlitt, A Peddireddy, A Dickerman, A Bura, ...
Medrxiv, 2020
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
Wavelet-based reconstruction for unlimited sampling
S Rudresh, A Adiga, BA Shenoy, CS Seelamantula
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ...
Elife 11, e73584, 2022
Gammatone wavelet cepstral coefficients for robust speech recognition
A Adiga, M Magimai, CS Seelamantula
2013 IEEE international conference of IEEE region 10 (TENCON 2013), 1-4, 2013
Auditory-motivated Gammatone wavelet transform
A Venkitaraman, A Adiga, CS Seelamantula
Signal Processing 94, 608-619, 2014
Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi …
RK Borchering, LC Mullany, E Howerton, M Chinazzi, CP Smith, M Qin, ...
The Lancet Regional Health–Americas 17, 2023
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Peddireddy, Przemyslaw ...
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge …, 2021
Using mobility data to understand and forecast covid19 dynamics
L Wang, X Ben, A Adiga, A Sadilek, A Tendulkar, S Venkatramanan, ...
MedRxiv, 2020
Examining deep learning models with multiple data sources for COVID-19 forecasting
L Wang, A Adiga, S Venkatramanan, J Chen, B Lewis, M Marathe
2020 IEEE international conference on big data (Big Data), 3846-3855, 2020
Data-driven modeling for different stages of pandemic response
A Adiga, J Chen, M Marathe, H Mortveit, S Venkatramanan, A Vullikanti
Journal of the Indian Institute of Science 100 (4), 901-915, 2020
Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics
A Adiga, L Wang, A Sadilek, A Tendulkar, S Venkatramanan, A Vullikanti, ...
medRxiv, 2020.06. 05.20123760, 2020
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support
P Bhattacharya, J Chen, S Hoops, D Machi, B Lewis, S Venkatramanan, ...
The International Journal of High Performance Computing Applications 37 (1 …, 2023
Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
E Howerton, L Contamin, LC Mullany, M Qin, NG Reich, S Bents, ...
Nature communications 14 (1), 7260, 2023
Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub
E Howerton, L Contamin, LC Mullany, M Qin, NG Reich, S Bents, ...
medRxiv, 2023
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway
A Talekar, S Shriram, N Vaidhiyan, G Aggarwal, J Chen, ...
ArXiv, 2020
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