1 citations · 1 across the 2 of their papers we have counts for
4 papers
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…
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…
A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation
Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete +2
Runaway electrons (RE) generated during magnetic disruptions present a major threat to the safe operation of plasma nuclear fusion reactors. A critical aspect of understanding RE d…
A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions
Zack Morrow, Miroslav Stoyanov
We present a method for dimensionally adaptive sparse trigonometric interpolation of multidimensional periodic functions belonging to a smoothness class of finite order. This metho…