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ORCIDSwapnil Mishra
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2020 – today
- 2024
[c9]Elizaveta Semenova
, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin:
Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. Epi UAI 2024: 13-27- [i12]Makkunda Sharma, Fan Yang, Duy-Nhat Vo, Esra Suel, Swapnil Mishra, Samir Bhatt, Oliver Fiala, William Rudgard, Seth R. Flaxman:
KidSat: satellite imagery to map childhood poverty dataset and benchmark. CoRR abs/2407.05986 (2024) - 2023
- [j4]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. Trans. Mach. Learn. Res. 2023 (2023) - [i11]Nicolas Banholzer, Thomas A. Mellan, H. Juliette T. Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt:
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. CoRR abs/2305.00933 (2023) - [i10]Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin:
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya. CoRR abs/2305.19779 (2023) - 2022
- [j3]Swapnil Mishra, Seth R. Flaxman, Tresnia Berah, Harrison Zhu, Mikko Pakkanen, Samir Bhatt:
πVAE: a stochastic process prior for Bayesian deep learning with MCMC. Stat. Comput. 32(6): 96 (2022) - [i9]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. CoRR abs/2210.11844 (2022) - [i8]Christian Morgenstern, Daniel J. Laydon, Charles Whittaker, Swapnil Mishra, David J. Haw, Samir Bhatt, Neil M. Ferguson:
The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic. CoRR abs/2211.00054 (2022) - 2021
- [j2]H. Juliette T. Unwin, Isobel Routledge, Seth R. Flaxman, Marian-Andrei Rizoiu, Shengjie Lai, Justin Cohen, Daniel J. Weiss, Swapnil Mishra, Samir Bhatt:
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Comput. Biol. 17(4) (2021) - [c8]Hiren Kumar Deva Sarma, Swapnil Mishra:
Knowledge Extraction from Rainfall Data. OCIT 2021: 185-190 - [c7]Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P. Schnekenberg, Charles Whittaker, Michaela A. C. Vollmer, Seth R. Flaxman, Samir Bhatt, Thomas A. Mellan:
Gaussian process nowcasting: application to COVID-19 mortality reporting. UAI 2021: 1258-1268 - [i7]Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth R. Flaxman:
Encoding spatiotemporal priors with VAEs for small-area estimation. CoRR abs/2110.10422 (2021) - 2020
- [j1]Isobel Routledge, Shengjie Lai, Katherine E. Battle, Azra C. Ghani, Manuel Gomez-Rodriguez, Kyle Gustafson, Swapnil Mishra, Juliette Unwin, Joshua L. Proctor, Andrew J. Tatem, Zhongjie Li, Samir Bhatt:
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLoS Comput. Biol. 16(3) (2020) - [i6]Swapnil Mishra, Seth R. Flaxman, Samir Bhatt:
πVAE: Encoding stochastic process priors with variational autoencoders. CoRR abs/2002.06873 (2020) - [i5]Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costelloe, Robert Klaber, Graham S. Cooke, Seth R. Flaxman, Samir Bhatt:
A unified machine learning approach to time series forecasting applied to demand at emergency departments. CoRR abs/2007.06566 (2020)
2010 – 2019
- 2019
- [c6]Swapnil Mishra:
Bridging Models for Popularity Prediction on Social Media. WSDM 2019: 810-811 - 2018
- [c5]Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. ICWSM 2018: 201-210 - [c4]Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie:
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations. WWW 2018: 419-428 - [p1]Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra:
Hawkes processes for events in social media. Frontiers of Multimedia Research 2018: 191-218 - [i4]Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. CoRR abs/1804.02101 (2018) - 2017
- [i3]Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra, Lexing Xie:
A Tutorial on Hawkes Processes for Events in Social Media. CoRR abs/1708.06401 (2017) - [i2]Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong, Mark James Carman, Lexing Xie:
SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. CoRR abs/1711.01679 (2017) - 2016
- [c3]Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Feature Driven and Point Process Approaches for Popularity Prediction. CIKM 2016: 1069-1078 - [c2]Hiren Kumar Deva Sarma, Swapnil Mishra:
Mining Time Series Data with Apriori Tid Algorithm. ICIT 2016: 160-164 - [i1]Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Feature Driven and Point Process Approaches for Popularity Prediction. CoRR abs/1608.04862 (2016) - 2014
- [c1]Wray L. Buntine, Swapnil Mishra:
Experiments with non-parametric topic models. KDD 2014: 881-890
Coauthor Index
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