Experiments with non-parametric topic models. - Wray L. Buntine; Swapnil Mishra (KDD, 2014)

Feature Driven and Point Process Approaches for Popularity Prediction. - Swapnil Mishra; Marian-Andrei Rizoiu; Lexing Xie (CIKM, 2016)

Mining Time Series Data with Apriori Tid Algorithm. - Hiren Kumar Deva Sarma; Swapnil Mishra (ICIT, 2016)

A Tutorial on Hawkes Processes for Events in Social Media. - Marian-Andrei Rizoiu; Young Lee; Swapnil Mishra; Lexing Xie (CoRR, 2017)

SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. - Marian-Andrei Rizoiu; Swapnil Mishra; Quyu Kong; Mark James Carman; Lexing Xie (CoRR, 2017)

Hawkes processes for events in social media. - Marian-Andrei Rizoiu; Young Lee; Swapnil Mishra (Frontiers of Multimedia Research, 2018)

Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. - Swapnil Mishra; Marian-Andrei Rizoiu; Lexing Xie (ICWSM, 2018)

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations. - Marian-Andrei Rizoiu; Swapnil Mishra; Quyu Kong; Mark James Carman; Lexing Xie (WWW, 2018)

Bridging Models for Popularity Prediction on Social Media. - Swapnil Mishra (WSDM, 2019)

πVAE: Encoding stochastic process priors with variational autoencoders. - Swapnil Mishra; Seth R. Flaxman; Samir Bhatt (CoRR, 2020)

A unified machine learning approach to time series forecasting applied to demand at emergency departments. - 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 (CoRR, 2020)

Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. - 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 (PLoS Comput. Biol., 2020)

Knowledge Extraction from Rainfall Data. - Hiren Kumar Deva Sarma; Swapnil Mishra (OCIT, 2021)

Gaussian process nowcasting: application to COVID-19 mortality reporting. - 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 (UAI, 2021)

Encoding spatiotemporal priors with VAEs for small-area estimation. - Elizaveta Semenova; Yidan Xu; Adam Howes; Theo Rashid; Samir Bhatt; Swapnil Mishra; Seth R. Flaxman (CoRR, 2021)

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. - H. Juliette T. Unwin; Isobel Routledge; Seth R. Flaxman; Marian-Andrei Rizoiu; Shengjie Lai; Justin Cohen; Daniel J. Weiss; Swapnil Mishra; Samir Bhatt (PLoS Comput. Biol., 2021)

The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic. - Christian Morgenstern; Daniel J. Laydon; Charles Whittaker; Swapnil Mishra; David J. Haw; Samir Bhatt; Neil M. Ferguson (CoRR, 2022)

πVAE: a stochastic process prior for Bayesian deep learning with MCMC. - Swapnil Mishra; Seth R. Flaxman; Tresnia Berah; Harrison Zhu; Mikko Pakkanen; Samir Bhatt (Stat. Comput., 2022)

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. - Nicolas Banholzer; Thomas A. Mellan; H. Juliette T. Unwin; Stefan Feuerriegel; Swapnil Mishra; Samir Bhatt (CoRR, 2023)

Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. - Xenia Miscouridou; Samir Bhatt; George O. Mohler; Seth R. Flaxman; Swapnil Mishra (Trans. Mach. Learn. Res., 2023)

Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. - Elizaveta Semenova; Swapnil Mishra; Samir Bhatt; Seth R. Flaxman; H. Juliette T. Unwin (Epi UAI, 2024)

KidSat: satellite imagery to map childhood poverty dataset and benchmark. - Makkunda Sharma; Fan Yang; Duy-Nhat Vo; Esra Suel; Swapnil Mishra; Samir Bhatt; Oliver Fiala; William Rudgard; Seth R. Flaxman (CoRR, 2024)

Evidential time-to-event prediction model with well-calibrated uncertainty estimation. - Ling Huang 003; Yucheng Xing; Swapnil Mishra; Thierry Denoeux; Mengling Feng (CoRR, 2024)

Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing. - Fan Yang; Sahoko Ishida; Mengyan Zhang; Daniel Jenson; Swapnil Mishra; Jhonathan Navott; Seth R. Flaxman (CoRR, 2024)

Evidential time-to-event prediction with calibrated uncertainty quantification. - Ling Huang 003; Yucheng Xing; Swapnil Mishra; Thierry Denoeux; Mengling Feng (Int. J. Approx. Reason., 2025)