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cs.LG2026
NeuroMem-FHP: A Likelihood-Free Deep Learning Framework for Parameter Estimation of Fractional Hawkes Process
Neha Gupta, Aditya Maheshwari
In this paper, we propose deep learning based NeuroMem-FHP framework for estimating the parameters of the fractional Hawkes process (FHP), a self-exciting point process that captur…
cs.LG2025
NeuroMemFPP: A recurrent neural approach for memory-aware parameter estimation in fractional Poisson process
Neha Gupta, Aditya Maheshwari
In this paper, we propose a recurrent neural network (RNN)-based framework for estimating the parameters of the fractional Poisson process (FPP), which models event arrivals with m…