Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2012.08443
Cited By

Strong overall error analysis for the training of artificial neural
networks via random initializations

Strong overall error analysis for the training of artificial neural networks via random initializations

Communications in Mathematics and Statistics (Commun. Math. Stat.), 2020

15 December 2020

ArXiv (abs)PDF HTML

Papers citing "Strong overall error analysis for the training of artificial neural networks via random initializations"

3 / 3 papers shown

On the growth of the parameters of approximating ReLU neural networks

On the growth of the parameters of approximating ReLU neural networks

204

1

0

21 Jun 2024

Uncertainty quantification for deep learning-based schemes for solving
high-dimensional backward stochastic differential equations

Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equationsInternational Journal for Uncertainty Quantification (IJUQ), 2023

Lorenc Kapllani

Matthias Rottmann

283

1

0

05 Oct 2023

Deep neural network approximation of composite functions without the
curse of dimensionality

Deep neural network approximation of composite functions without the curse of dimensionality

189

1

0

12 Apr 2023

Page 1 of 1