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. 2110.15739
  4. Cited By
Scalable Inference in SDEs by Direct Matching of the
  Fokker-Planck-Kolmogorov Equation

Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation

29 October 2021
Arno Solin
Ella Tamir
Prakhar Verma
ArXivPDFHTML

Papers citing "Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation"

12 / 12 papers shown
Title
Latent Space Energy-based Neural ODEs
Latent Space Energy-based Neural ODEs
Sheng Cheng
Deqian Kong
Jianwen Xie
Kookjin Lee
Ying Nian Wu
Yezhou Yang
DiffM
194
1
0
05 Sep 2024
Fully Bayesian Differential Gaussian Processes through Stochastic
  Differential Equations
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations
Jian Xu
Zhiqi Lin
Min Chen
Junmei Yang
Delu Zeng
John Paisley
35
0
0
12 Aug 2024
Learning to Approximate Particle Smoothing Trajectories via Diffusion
  Generative Models
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models
Ella Tamir
Arno Solin
DiffM
39
0
0
01 Jun 2024
DynGMA: a robust approach for learning stochastic differential equations
  from data
DynGMA: a robust approach for learning stochastic differential equations from data
Aiqing Zhu
Qianxiao Li
OOD
DiffM
27
3
0
22 Feb 2024
Monte-Carlo/Moments micro-macro Parareal method for unimodal and bimodal
  scalar McKean-Vlasov SDEs
Monte-Carlo/Moments micro-macro Parareal method for unimodal and bimodal scalar McKean-Vlasov SDEs
Ignace Bossuyt
Stefan Vandewalle
Giovanni Samaey
18
2
0
17 Oct 2023
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs
  via Double Normalizing Flows
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows
Jian Xu
Shian Du
Junmei Yang
Xinghao Ding
John Paisley
Delu Zeng
23
0
0
17 Sep 2023
Sampling-Free Probabilistic Deep State-Space Models
Sampling-Free Probabilistic Deep State-Space Models
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
23
2
0
15 Sep 2023
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
38
6
0
02 May 2023
Modulated Neural ODEs
Modulated Neural ODEs
I. Auzina
Çağatay Yıldız
Sara Magliacane
Matthias Bethge
E. Gavves
35
5
0
26 Feb 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled
  Time Series
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari
Alvin Heng
Andre Lim
Harold Soh
BDL
AI4TS
36
15
0
26 Jan 2023
Self-Consistency of the Fokker-Planck Equation
Self-Consistency of the Fokker-Planck Equation
Zebang Shen
Zhenfu Wang
Satyen Kale
Alejandro Ribeiro
Aim Karbasi
Hamed Hassani
26
17
0
02 Jun 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs
Çağatay Yıldız
M. Kandemir
Barbara Rakitsch
57
11
0
24 May 2022
1