ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.03460
  4. Cited By
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of
  Experts
v1v2 (latest)

Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts

5 February 2024
Anastasis Kratsios
Haitz Sáez de Ocáriz Borde
Takashi Furuya
Marc T. Law
    MoE
ArXiv (abs)PDFHTMLGithub

Papers citing "Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts"

1 / 1 papers shown
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
OOD
493
19
0
24 Oct 2022
1
Page 1 of 1