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. 2305.11241
  4. Cited By
Evidence Networks: simple losses for fast, amortized, neural Bayesian
  model comparison

Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison

18 May 2023
N. Jeffrey
Benjamin Dan Wandelt
    BDL
ArXivPDFHTML

Papers citing "Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison"

3 / 3 papers shown
Title
The frontier of simulation-based inference
The frontier of simulation-based inference
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
99
834
0
04 Nov 2019
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
378
3,101
0
04 Jun 2018
Obtaining Calibrated Probabilities from Boosting
Obtaining Calibrated Probabilities from Boosting
Alexandru Niculescu-Mizil
R. Caruana
44
200
0
04 Jul 2012
1