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A theory of continuous generative flow networks

A theory of continuous generative flow networks

30 January 2023
Salem Lahlou
T. Deleu
Pablo Lemos
Dinghuai Zhang
Alexandra Volokhova
Alex Hernández-García
Léna Néhale Ezzine
Yoshua Bengio
Nikolay Malkin
    AI4CE
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Papers citing "A theory of continuous generative flow networks"

22 / 72 papers shown
Title
Human-in-the-Loop Causal Discovery under Latent Confounding using
  Ancestral GFlowNets
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets
Tiago da Silva
Eliezer de Souza da Silva
Adèle Ribeiro
António Góis
Dominik Heider
Samuel Kaski
Diego Mesquita
CML
30
6
0
21 Sep 2023
Generative Flow Networks: a Markov Chain Perspective
Generative Flow Networks: a Markov Chain Perspective
T. Deleu
Yoshua Bengio
BDL
13
8
0
04 Jul 2023
Multi-Fidelity Active Learning with GFlowNets
Multi-Fidelity Active Learning with GFlowNets
Alex Hernandez-Garcia
Nikita Saxena
Moksh Jain
Cheng-Hao Liu
Yoshua Bengio
AI4CE
11
14
0
20 Jun 2023
Meta Generative Flow Networks with Personalization for Task-Specific
  Adaptation
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
Xinyuan Ji
Xu Zhang
Wei Xi
Haozhi Wang
Olga Gadyatskaya
Yinchuan Li
11
1
0
16 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler
Entropy-based Training Methods for Scalable Neural Implicit Sampler
Weijian Luo
Boya Zhang
Zhihua Zhang
13
10
0
08 Jun 2023
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular
  Design
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design
Julien Roy
Pierre-Luc Bacon
C. Pal
Emmanuel Bengio
AI4CE
15
14
0
07 Jun 2023
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
23
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
15
36
0
26 May 2023
torchgfn: A PyTorch GFlowNet library
torchgfn: A PyTorch GFlowNet library
Salem Lahlou
J. Viviano
Victor Schmidt
Yoshua Bengio
AI4CE
22
4
0
24 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
21
3
0
24 Apr 2023
CFlowNets: Continuous Control with Generative Flow Networks
CFlowNets: Continuous Control with Generative Flow Networks
Yinchuan Li
Shuang Luo
Haozhi Wang
Jianye Hao
81
20
0
04 Mar 2023
GFlowNet-EM for learning compositional latent variable models
GFlowNet-EM for learning compositional latent variable models
J. E. Hu
Nikolay Malkin
Moksh Jain
Katie Everett
Alexandros Graikos
Yoshua Bengio
CoGe
14
38
0
13 Feb 2023
Distributional GFlowNets with Quantile Flows
Distributional GFlowNets with Quantile Flows
Dinghuai Zhang
L. Pan
Ricky T. Q. Chen
Aaron Courville
Yoshua Bengio
17
25
0
11 Feb 2023
Better Training of GFlowNets with Local Credit and Incomplete
  Trajectories
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
L. Pan
Nikolay Malkin
Dinghuai Zhang
Yoshua Bengio
4
59
0
03 Feb 2023
GFlowNets for AI-Driven Scientific Discovery
GFlowNets for AI-Driven Scientific Discovery
Moksh Jain
T. Deleu
Jason S. Hartford
Cheng-Hao Liu
Alex Hernandez-Garcia
Yoshua Bengio
AI4CE
13
32
0
01 Feb 2023
Generative Augmented Flow Networks
Generative Augmented Flow Networks
L. Pan
Dinghuai Zhang
Aaron Courville
Longbo Huang
Yoshua Bengio
98
42
0
07 Oct 2022
Latent State Marginalization as a Low-cost Approach for Improving
  Exploration
Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang
Aaron Courville
Yoshua Bengio
Qinqing Zheng
Amy Zhang
Ricky T. Q. Chen
OOD
17
8
0
03 Oct 2022
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
127
77
0
02 Oct 2022
Unifying Generative Models with GFlowNets and Beyond
Unifying Generative Models with GFlowNets and Beyond
Dinghuai Zhang
Ricky T. Q. Chen
Nikolay Malkin
Yoshua Bengio
BDL
AI4CE
35
25
0
06 Sep 2022
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
165
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
32
71
0
06 Dec 2021
GFlowNet Foundations
GFlowNet Foundations
Yoshua Bengio
Salem Lahlou
T. Deleu
J. E. Hu
Mo Tiwari
Emmanuel Bengio
11
209
0
17 Nov 2021
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