Imitation Learning of Neural Spatio-Temporal Point Processes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3054787
Abstract: We present a novel Neural Embedding Spatio-Temporal (NEST) point process model for spatio-temporal discrete event data and develop an efficient imitation learning (a type of reinforcement learning) based approach for model fitting. Despite the rapid… read more here.
Keywords: imitation learning; spatio temporal; model; point processes ... See more keywords
Reconstruction of high-resolution early-photon tomography based on the first derivative of temporal point spread function.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of biomedical optics"
DOI: 10.1117/1.jbo.23.6.060503
Abstract: For fluorescence molecular tomography, higher spatial resolution can be achieved using minimally scattered early photons. Conventional reconstruction methods of early photon tomography (EPT) are based on the integral of temporal point spread function (TPSF), which… read more here.
Keywords: reconstruction; resolution; temporal point; photon tomography ... See more keywords
Comment on “A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications” by Alex Reinhart
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Science"
DOI: 10.1214/18-sts652
Abstract: This is an excellent and extremely well-written summary of recent research on self-exciting spatialtemporal point processes. It contributes very nicely to the literature and I will use it personally to teach my graduate students about… read more here.
Keywords: point processes; temporal point; comment; approximation ... See more keywords