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. 1806.02429
  4. Cited By
Bayesian Inference for Diffusion Processes: Using Higher-Order
  Approximations for Transition Densities
v1v2v3 (latest)

Bayesian Inference for Diffusion Processes: Using Higher-Order Approximations for Transition Densities

6 June 2018
Susanne Pieschner
Christiane Fuchs
ArXiv (abs)PDFHTML

Papers citing "Bayesian Inference for Diffusion Processes: Using Higher-Order Approximations for Transition Densities"

3 / 3 papers shown
Neural Guided Diffusion Bridges
Neural Guided Diffusion Bridges
Gefan Yang
Frank van der Meulen
Stefan Sommer
DiffM
388
3
0
17 Feb 2025
A Deterministic Approximation to Neural SDEs
A Deterministic Approximation to Neural SDEs
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
DiffM
700
5
0
16 Jun 2020
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
G. Abbati
Philippe Wenk
Michael A. Osborne
Andreas Krause
Bernhard Schölkopf
Stefan Bauer
DiffM
224
15
0
22 Feb 2019
1
Page 1 of 1