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. 2211.02763
  4. Cited By
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and
  Variational Bayes

Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

4 November 2022
Mizu Nishikawa-Toomey
T. Deleu
Jithendaraa Subramanian
Yoshua Bengio
Laurent Charlin
    BDL
    CML
ArXivPDFHTML

Papers citing "Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes"

10 / 10 papers shown
Title
Adaptive teachers for amortized samplers
Adaptive teachers for amortized samplers
Minsu Kim
Sanghyeok Choi
Taeyoung Yun
Emmanuel Bengio
Leo Feng
Jarrid Rector-Brooks
Sungsoo Ahn
Jinkyoo Park
Nikolay Malkin
Yoshua Bengio
126
2
0
02 Oct 2024
Joint Bayesian Inference of Graphical Structure and Parameters with a
  Single Generative Flow Network
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
T. Deleu
Mizu Nishikawa-Toomey
Jithendaraa Subramanian
Nikolay Malkin
Laurent Charlin
Yoshua Bengio
BDL
30
43
0
30 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems
  with GFlowNets
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Dinghuai Zhang
H. Dai
Nikolay Malkin
Aaron Courville
Yoshua Bengio
L. Pan
24
36
0
26 May 2023
Passive learning of active causal strategies in agents and language
  models
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Ishita Dasgupta
A. Nam
Jane X. Wang
29
15
0
25 May 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on
  Graphs
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li
Zhigang Li
Wenqian Li
Yunfeng Shao
Yan Zheng
Jianye Hao
32
3
0
24 Apr 2023
Stochastic Generative Flow Networks
Stochastic Generative Flow Networks
L. Pan
Dinghuai Zhang
Moksh Jain
Longbo Huang
Yoshua Bengio
BDL
39
30
0
19 Feb 2023
Distributional GFlowNets with Quantile Flows
Distributional GFlowNets with Quantile Flows
Dinghuai Zhang
L. Pan
Ricky T. Q. Chen
Aaron Courville
Yoshua Bengio
24
25
0
11 Feb 2023
A theory of continuous generative flow networks
A theory of continuous generative flow networks
Salem Lahlou
T. Deleu
Pablo Lemos
Dinghuai Zhang
Alexandra Volokhova
Alex Hernández-García
Léna Néhale Ezzine
Yoshua Bengio
Nikolay Malkin
AI4CE
33
79
0
30 Jan 2023
Trajectory balance: Improved credit assignment in GFlowNets
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
145
166
0
31 Jan 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy
Aditya Grover
Stefano Ermon
CML
40
72
0
06 Dec 2021
1