A Multi-Source Dynamic Temporal Point Process Model for Train Delay Prediction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3430031
Abstract: Train delay prediction is a key technology for intelligent train scheduling and passenger services. We propose a train delay prediction model that takes into account the asynchrony of train events, the dynamics of train operations,… read more here.
Keywords: train delay; train; delay prediction; temporal point ... See more keywords
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
A Bayesian Mixture Model of Temporal Point Processes With Determinantal Point Process Prior
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2025.3575175
Abstract: Asynchronous event sequence clustering aims to group similar event sequences in an unsupervised manner. Mixture models of temporal point processes have been proposed to solve this problem, but they often suffer from overfitting, leading to… read more here.
Keywords: mixture model; point processes; point; temporal point ... 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
KANJDP: Interpretable Temporal Point Process Modeling with Kolmogorov–Arnold Representation
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13172754
Abstract: Accurate modeling of event sequences is valuable in domains like electronic health records, financial risk management, and social networks. Random time intervals in these sequences contain key dynamic information, and temporal point processes (TPPs) are… read more here.
Keywords: process; kolmogorov arnold; temporal point; kanjdp interpretable ... See more keywords