On Smoother Attributions using Neural Stochastic Differential Equations.

Sumit Kumar Jha Rickard Ewetz Alvaro Velasquez Susmit Jha

Published in: IJCAI (2021)

Keyphrases

stochastic differential equations
maximum a posteriori estimation
brownian motion
network architecture
additive gaussian noise
differential equations
stochastic processes
fractional brownian motion
special case
cost function
hidden markov models
random variables
stochastic process
poisson process