Concepedia

Howard Heaton

HH

Statistics

Publications

5

Citations

188

H-Index

5

Active since

2021

Affiliations

University of California, Los Angeles(Current)

Colorado School of Mines

Howard Heaton is an author at University of California, Los Angeles specializing in computing, computer science, and machine learning.

ORCID

Publications per year

2021–2022

5

Publications

5

Learning to Optimize: A Primer and A Benchmark

Tianlong Chen, Xiaohan Chen, Wuyang Chen et al. · arXiv (Cornell University) · 2021 · 92 citations · Full text

, , +7

JFB: Jacobian-Free Backpropagation for Implicit Networks

Samy Wu Fung, Howard Heaton, Qiuwei Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 50 citations · Full text

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Feasibility-based fixed point networks

Howard Heaton, Samy Wu Fung, Aviv Gibali et al. · Fixed Point Theory and Algorithms for Sciences and Engineering · 2021 · 21 citations · Full text

, , +15

Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop.

Samy Wu Fung, Howard Heaton, Qiuwei Li et al. · arXiv (Cornell University) · 2021 · 15 citations · Full text

, , +9

Wasserstein-Based Projections with Applications to Inverse Problems

Howard Heaton, Samy Wu Fung, A. T. Lin et al. · SIAM Journal on Mathematics of Data Science · 2022 · 10 citations · Full text

, , +10

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