29 citations · 33 across the 5 of their papers we have counts for
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cs.LG2021
Polynomial-Spline Neural Networks with Exact Integrals
Jonas A. Actor, Andy Huang, Nathaniel Trask
Using neural networks to solve variational problems, and other scientific machine learning tasks, has been limited by a lack of consistency and an inability to exactly integrate ex…
cs.LG2021★ 3 cited
Probabilistic partition of unity networks: clustering based deep approximation
Nat Trask, Mamikon Gulian, Andy Huang +1
Partition of unity networks (POU-Nets) have been shown capable of realizing algebraic convergence rates for regression and solution of PDEs, but require empirical tuning of trainin…
cs.LG2017
Tensor-Based Backpropagation in Neural Networks with Non-Sequential Input
Hirsh R. Agarwal, Andrew Huang
Neural networks have been able to achieve groundbreaking accuracy at tasks conventionally considered only doable by humans. Using stochastic gradient descent, optimization in many…