29 citations · 33 across the 5 of their papers we have counts for
5 papers
A Real Time Super Resolution Accelerator with Tilted Layer Fusion
An-Jung Huang, Kai-Chieh Hsu, Tian-Sheuan Chang
Deep learning based superresolution achieves high-quality results, but its heavy computational workload, large buffer, and high external memory bandwidth inhibit its usage in mobil…
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…
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…
Human Vocal Sentiment Analysis
Andrew Huang, Puwei Bao
In this paper, we use several techniques with conventional vocal feature extraction (MFCC, STFT), along with deep-learning approaches such as CNN, and also context-level analysis,…
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…