ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.01115
  4. Cited By
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using
  Monte Carlo Methods

Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods

1 July 2024
Andrej Tschalzev
Paul Nitschke
Lukas Kirchdorfer
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
ArXivPDFHTML

Papers citing "Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods"

3 / 3 papers shown
Title
Machine Learning with High-Cardinality Categorical Features in Actuarial
  Applications
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications
Benjamin Avanzi
G. Taylor
Melantha Wang
Bernard Wong
17
12
0
30 Jan 2023
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar S. Karnin
ViT
LMTD
140
416
0
11 Dec 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
84
607
0
13 Mar 2020
1