51 citations · 134 across the 17 of their papers we have counts for
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stat.ML2023★ 1 cited
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu, Martin Lysy
Estimating the parameters of ordinary differential equations (ODEs) is of fundamental importance in many scientific applications. While ODEs are typically approximated with determi…
stat.ME2023
Functional Connectivity: Continuous-Time Latent Factor Models for Neural Spike Trains
Meixi Chen, Martin Lysy, David Moorman +1
Modelling the dynamics of interactions in a neuronal ensemble is an important problem in functional connectivity research. One popular framework is latent factor models (LFMs), whi…