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SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations.

, , , , and . WWW, page 419-428. ACM, (2018)

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πVAE: a stochastic process prior for Bayesian deep learning with MCMC., , , , , and . Stat. Comput., 32 (6): 96 (2022)Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya., , , , and . CoRR, (2023)SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations., , , , and . WWW, page 419-428. ACM, (2018)Knowledge Extraction from Rainfall Data., and . OCIT, page 185-190. IEEE, (2021)Hawkes processes for events in social media., , and . Frontiers of Multimedia Research, ACM / Morgan & Claypool, (2018)SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes., , , , and . CoRR, (2017)Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach., , , , , , , , , and 2 other author(s). PLoS Comput. Biol., (2020)Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya., , , , and . Epi UAI, volume 14523 of Lecture Notes in Computer Science, page 13-27. Springer, (2024)Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes., , , , and . CoRR, (2022)πVAE: Encoding stochastic process priors with variational autoencoders., , and . CoRR, (2020)