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. 2003.13933
  4. Cited By
Inference with Aggregate Data: An Optimal Transport Approach
v1v2 (latest)

Inference with Aggregate Data: An Optimal Transport Approach

31 March 2020
Rahul Singh
Isabel Haasler
Qinsheng Zhang
Johan Karlsson
Yongxin Chen
    OT
ArXiv (abs)PDFHTML

Papers citing "Inference with Aggregate Data: An Optimal Transport Approach"

11 / 11 papers shown
DiffCollage: Parallel Generation of Large Content with Diffusion Models
DiffCollage: Parallel Generation of Large Content with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Qinsheng Zhang
Jiaming Song
Xun Huang
Yongxin Chen
Xuan Li
DiffM
294
111
0
30 Mar 2023
Estimating Latent Population Flows from Aggregated Data via Inversing
  Multi-Marginal Optimal Transport
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal TransportSDM (SDM), 2022
Sikun Yang
H. Zha
OT
213
6
0
30 Dec 2022
On the complexity of the optimal transport problem with graph-structured
  cost
On the complexity of the optimal transport problem with graph-structured cost
JiaoJiao Fan
Isabel Haasler
Johan Karlsson
Yongxin Chen
OT
295
23
0
01 Oct 2021
Inference of collective Gaussian hidden Markov models
Inference of collective Gaussian hidden Markov modelsIEEE Conference on Decision and Control (CDC), 2021
Rahul Singh
Yongxin Chen
FedML
96
0
0
24 Jul 2021
Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal
  transport
Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal transport
Takumi Fukunaga
Hiroyuki Kasai
OT
311
6
0
10 Mar 2021
Non-approximate Inference for Collective Graphical Models on Path Graphs
  via Discrete Difference of Convex Algorithm
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex AlgorithmNeural Information Processing Systems (NeurIPS), 2021
Yasunori Akagi
Naoki Marumo
Hideaki Kim
Takeshi Kurashima
Hiroyuki Toda
180
1
0
18 Feb 2021
Learning Hidden Markov Models from Aggregate Observations
Learning Hidden Markov Models from Aggregate Observations
Rahul Singh
Qinsheng Zhang
Yongxin Chen
FedML
257
5
0
23 Nov 2020
Filtering for Aggregate Hidden Markov Models with Continuous
  Observations
Filtering for Aggregate Hidden Markov Models with Continuous Observations
Qinsheng Zhang
Rahul Singh
Yongxin Chen
168
2
0
04 Nov 2020
Incremental inference of collective graphical models
Incremental inference of collective graphical models
Rahul Singh
Isabel Haasler
Qinsheng Zhang
Johan Karlsson
Yongxin Chen
149
5
0
26 Jun 2020
Multi-marginal optimal transport and probabilistic graphical models
Multi-marginal optimal transport and probabilistic graphical modelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Isabel Haasler
Rahul Singh
Qinsheng Zhang
Johan Karlsson
Yongxin Chen
OT
195
50
0
25 Jun 2020
Probabilistic Optimal Transport based on Collective Graphical Models
Probabilistic Optimal Transport based on Collective Graphical Models
Yasunori Akagi
Yusuke Tanaka
Tomoharu Iwata
Takeshi Kurashima
Hiroyuki Toda
OT
176
2
0
16 Jun 2020
1
Page 1 of 1