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. 2106.04399
  4. Cited By
Flow Network based Generative Models for Non-Iterative Diverse Candidate
  Generation

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

8 June 2021
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
ArXivPDFHTML

Papers citing "Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation"

50 / 223 papers shown
Title
Bootstrapped Training of Score-Conditioned Generator for Offline Design
  of Biological Sequences
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
Minsu Kim
Federico Berto
Sungsoo Ahn
Jinkyoo Park
DD
31
18
0
05 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
Sungsoo Ahn
Jinkyoo Park
OffRL
39
7
0
02 Jun 2023
Protein Design with Guided Discrete Diffusion
Protein Design with Guided Discrete Diffusion
Nate Gruver
Samuel Stanton
Nathan C. Frey
Tim G. J. Rudner
I. Hotzel
J. Lafrance-Vanasse
A. Rajpal
Kyunghyun Cho
A. Wilson
DiffM
47
103
0
31 May 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
32
44
0
30 May 2023
MAGNet: Motif-Agnostic Generation of Molecules from Shapes
MAGNet: Motif-Agnostic Generation of Molecules from Shapes
Leon Hetzel
Johanna Sommer
Bastian Alexander Rieck
Fabian J. Theis
Stephan Günnemann
41
6
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
28
36
0
26 May 2023
torchgfn: A PyTorch GFlowNet library
torchgfn: A PyTorch GFlowNet library
Salem Lahlou
J. Viviano
Victor Schmidt
Yoshua Bengio
AI4CE
38
4
0
24 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement
  Learning
Policy Representation via Diffusion Probability Model for Reinforcement Learning
Long Yang
Zhixiong Huang
Fenghao Lei
Yucun Zhong
Yiming Yang
Cong Fang
Shiting Wen
Binbin Zhou
Zhouchen Lin
DiffM
39
40
0
22 May 2023
Towards Understanding and Improving GFlowNet Training
Towards Understanding and Improving GFlowNet Training
Max W. Shen
Emmanuel Bengio
Ehsan Hajiramezanali
Andreas Loukas
Kyunghyun Cho
Tommaso Biancalani
17
49
0
11 May 2023
GFlowNets with Human Feedback
GFlowNets with Human Feedback
Yinchuan Li
Shuang Luo
Yunfeng Shao
Jianye Hao
AI4CE
21
5
0
11 May 2023
Augmented Memory: Capitalizing on Experience Replay to Accelerate De
  Novo Molecular Design
Augmented Memory: Capitalizing on Experience Replay to Accelerate De Novo Molecular Design
Jeff Guo
P. Schwaller
29
10
0
10 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks
Generalized Universal Domain Adaptation with Generative Flow Networks
Didi Zhu
Yinchuan Li
Yunfeng Shao
Jianye Hao
Fei Wu
Kun Kuang
Jun Xiao
Chao Wu
AI4CE
OOD
49
16
0
08 May 2023
Unstructured and structured data: Can we have the best of both worlds
  with large language models?
Unstructured and structured data: Can we have the best of both worlds with large language models?
W. Tan
29
1
0
25 Apr 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
The power of motifs as inductive bias for learning molecular
  distributions
The power of motifs as inductive bias for learning molecular distributions
Johanna Sommer
Leon Hetzel
David Lüdke
Fabian J. Theis
Stephan Günnemann
25
6
0
04 Apr 2023
Mathematical Challenges in Deep Learning
Mathematical Challenges in Deep Learning
V. Nia
Guojun Zhang
I. Kobyzev
Michael R. Metel
Xinlin Li
...
S. Hemati
M. Asgharian
Linglong Kong
Wulong Liu
Boxing Chen
AI4CE
VLM
37
1
0
24 Mar 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
Wenqian Li
Yinchuan Li
Zhigang Li
Jianye Hao
Yan Pang
96
29
0
04 Mar 2023
CFlowNets: Continuous Control with Generative Flow Networks
CFlowNets: Continuous Control with Generative Flow Networks
Yinchuan Li
Shuang Luo
Haozhi Wang
Jianye Hao
91
20
0
04 Mar 2023
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph
  Neural Networks
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
Tim Schwabe
Maribel Acosta
20
3
0
02 Mar 2023
Diverse Policy Optimization for Structured Action Space
Diverse Policy Optimization for Structured Action Space
Wenhao Li
Baoxiang Wang
Shanchao Yang
H. Zha
OffRL
32
1
0
23 Feb 2023
Stochastic Generative Flow Networks
Stochastic Generative Flow Networks
L. Pan
Dinghuai Zhang
Moksh Jain
Longbo Huang
Yoshua Bengio
BDL
47
31
0
19 Feb 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
24
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
34
25
0
11 Feb 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with
  GFlowNets
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
Lazar Atanackovic
Alexander Tong
Bo Wang
Leo J. Lee
Yoshua Bengio
Jason S. Hartford
BDL
34
22
0
08 Feb 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Yiheng Zhu
Jialun Wu
Chaowen Hu
Jiahuan Yan
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
27
33
0
08 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
30
61
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
34
47
0
01 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
42
81
0
30 Jan 2023
Robust Scheduling with GFlowNets
Robust Scheduling with GFlowNets
David W. Zhang
Corrado Rainone
M. Peschl
Roberto Bondesan
34
50
0
17 Jan 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic
  Inference
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Emile van Krieken
Thiviyan Thanapalasingam
Jakub M. Tomczak
F. V. Harmelen
A. T. Teije
19
35
0
23 Dec 2022
Less Data, More Knowledge: Building Next Generation Semantic
  Communication Networks
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour
Walid Saad
Merouane Debbah
Zhu Han
H. Vincent Poor
GNN
3DV
32
121
0
25 Nov 2022
Group SELFIES: A Robust Fragment-Based Molecular String Representation
Group SELFIES: A Robust Fragment-Based Molecular String Representation
Austin H. Cheng
Andy Cai
Santiago Miret
Gustavo Malkomes
Mariano Phielipp
Alán Aspuru-Guzik
27
28
0
23 Nov 2022
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
43
1
0
22 Nov 2022
Automating Rigid Origami Design
Automating Rigid Origami Design
Jeremia Geiger
Karolis Martinkus
Oliver Richter
Roger Wattenhofer
19
1
0
20 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
28
21
0
19 Nov 2022
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and
  Variational Bayes
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
Mizu Nishikawa-Toomey
T. Deleu
Jithendaraa Subramanian
Yoshua Bengio
Laurent Charlin
BDL
CML
32
29
0
04 Nov 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete
  Joint Distributions
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
C. Ekbote
Moksh Jain
Payel Das
Yoshua Bengio
42
4
0
01 Nov 2022
Learning Latent Structural Causal Models
Learning Latent Structural Causal Models
Jithendaraa Subramanian
Yashas Annadani
Ivaxi Sheth
Nan Rosemary Ke
T. Deleu
Stefan Bauer
Derek Nowrouzezahrai
Samira Ebrahimi Kahou
CML
30
7
0
24 Oct 2022
GFlowOut: Dropout with Generative Flow Networks
GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
...
Dinghuai Zhang
N. Hassen
Xu Ji
Kenji Kawaguchi
Yoshua Bengio
UQCV
BDL
OOD
33
20
0
24 Oct 2022
Multi-Objective GFlowNets
Multi-Objective GFlowNets
Moksh Jain
Sharath Chandra Raparthy
Alex Hernandez-Garcia
Jarrid Rector-Brooks
Yoshua Bengio
Santiago Miret
Emmanuel Bengio
35
87
0
23 Oct 2022
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent
  Semantic Communications
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications
Christo Kurisummoottil Thomas
Walid Saad
29
31
0
21 Oct 2022
Entropy Regularized Reinforcement Learning with Cascading Networks
Entropy Regularized Reinforcement Learning with Cascading Networks
R. D. Vecchia
Alena Shilova
Philippe Preux
R. Akrour
28
1
0
16 Oct 2022
GFlowCausal: Generative Flow Networks for Causal Discovery
GFlowCausal: Generative Flow Networks for Causal Discovery
Wenqian Li
Yinchuan Li
Shengyu Zhu
Yunfeng Shao
Jianye Hao
Yan Pang
BDL
CML
11
12
0
15 Oct 2022
A Variational Perspective on Generative Flow Networks
A Variational Perspective on Generative Flow Networks
Heiko Zimmermann
Fredrik Lindsten
Jan-Willem van de Meent
C. A. Naesseth
22
32
0
14 Oct 2022
Generative Augmented Flow Networks
Generative Augmented Flow Networks
L. Pan
Dinghuai Zhang
Aaron Courville
Longbo Huang
Yoshua Bengio
104
43
0
07 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
136
78
0
02 Oct 2022
Improving Generative Flow Networks with Path Regularization
Improving Generative Flow Networks with Path Regularization
A. Do
Duy-Tung Dinh
T. Nguyen
Khuong N. Nguyen
Stanley Osher
Nhat Ho
AI4CE
29
4
0
29 Sep 2022
Start Small: Training Controllable Game Level Generators without
  Training Data by Learning at Multiple Sizes
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes
Yahia A. Zakaria
M. Fayek
M. Hadhoud
24
2
0
29 Sep 2022
Learning GFlowNets from partial episodes for improved convergence and
  stability
Learning GFlowNets from partial episodes for improved convergence and stability
Kanika Madan
Jarrid Rector-Brooks
Maksym Korablyov
Emmanuel Bengio
Moksh Jain
A. Nica
Tom Bosc
Yoshua Bengio
Nikolay Malkin
37
90
0
26 Sep 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
59
25
0
06 Sep 2022
Previous
12345
Next