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. 2503.21473
  4. Cited By
DeepRV: pre-trained spatial priors for accelerated disease mapping

DeepRV: pre-trained spatial priors for accelerated disease mapping

27 March 2025
Jhonathan Navott
Daniel Jenson
Seth Flaxman
Elizaveta Semenova
ArXiv (abs)PDFHTML

Papers citing "DeepRV: pre-trained spatial priors for accelerated disease mapping"

5 / 5 papers shown
Title
Composable Effects for Flexible and Accelerated Probabilistic
  Programming in NumPyro
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Du Phan
Neeraj Pradhan
M. Jankowiak
61
360
0
24 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGeDRL
86
180
0
06 Nov 2019
Pyro: Deep Universal Probabilistic Programming
Pyro: Deep Universal Probabilistic Programming
Eli Bingham
Jonathan P. Chen
M. Jankowiak
F. Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul A. Szerlip
Paul Horsfall
Noah D. Goodman
BDLGP
158
1,057
0
18 Oct 2018
Programming with models: writing statistical algorithms for general
  model structures with NIMBLE
Programming with models: writing statistical algorithms for general model structures with NIMBLE
P. de Valpine
Daniel Turek
C. Paciorek
Clifford Anderson-Bergman
D. Lang
Rastislav Bodík
78
854
0
19 May 2015
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
169
4,309
0
18 Nov 2011
1