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cs.LG2021
Stable Anderson Acceleration for Deep Learning
Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak +1
Anderson acceleration (AA) is an extrapolation technique designed to speed-up fixed-point iterations like those arising from the iterative training of DL models. Training DL models…
physics.comp-ph2021
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems
Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete +1
The exit time probability, which gives the likelihood that an initial condition leaves a prescribed region of the phase space of a dynamical system at, or before, a given time, is…