Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2109.11415
Cited By
v1
v2 (latest)
A survey of Bayesian Network structure learning
Artificial Intelligence Review (AIR), 2021
23 September 2021
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
CML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A survey of Bayesian Network structure learning"
50 / 63 papers shown
Differentially Private and Federated Structure Learning in Bayesian Networks
Ghita Fassy El Fehri
Aurélien Bellet
Philippe Bastien
FedML
174
0
0
01 Dec 2025
Linear Causal Discovery with Interventional Constraints
Zhigao Guo
Feng Dong
CML
132
0
0
30 Oct 2025
Scaling Up Bayesian DAG Sampling
Daniele Nikzad
Alexander Zhilkin
Juha Harviainen
Jack Kuipers
G. Moffa
Mikko Koivisto
TPM
217
0
0
29 Oct 2025
Surrogate-based quantification of policy uncertainty in generative flow networks
Ramón Nartallo-Kaluarachchi
Robert Manson-Sawko
Shashanka Ubaru
Dongsung Huh
Małgorzata J. Zimoń
L. Horesh
Yoshua Bengio
93
0
0
24 Oct 2025
Leveraging Teleconnections with Physics-Informed Graph Attention Networks for Long-Range Extreme Rainfall Forecasting in Thailand
Kiattikun Chobtham
Kanoksri Sarinnapakorn
Kritanai Torsri
Prattana Deeprasertkul
Jirawan Kamma
256
0
0
14 Oct 2025
Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
Olayiwola Arowolo
Jochen L. Cremer
AI4CE
111
0
0
08 Oct 2025
Vision Transformer for Transient Noise Classification
Divyansh Srivastava
Andrzej Niedzielski
96
0
0
06 Oct 2025
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
Kieran Drury
Martine J. Barons
Jim Q. Smith
80
0
0
30 Sep 2025
Surjective Independence of Causal Influences for Local Bayesian Network Structures
Kieran Drury
Martine J. Barons
Jim Q. Smith
CML
52
1
0
29 Sep 2025
Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks
Maria Iannario
Dae-Jin Lee
Manuele Leonelli
88
0
0
26 Sep 2025
Towards Privacy-Aware Bayesian Networks: A Credal Approach
Niccolò Rocchi
Fabio Stella
Cassio de Campos
130
0
0
23 Sep 2025
Learning Discrete Bayesian Networks with Hierarchical Dirichlet Shrinkage
Alexander Dombowsky
David B. Dunson
100
0
0
16 Sep 2025
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
Enrique Valero-Leal
P. Larrañaga
C. Bielza
158
0
0
04 Aug 2025
RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy
Mingcan Wang
Junchang Xin
L. Qu
Qi Chen
Xiping Hu
199
0
0
07 Apr 2025
Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms
International Journal of Approximate Reasoning (IJAR), 2025
N. K. Kitson
Anthony C. Constantinou
274
1
0
02 Apr 2025
A Guide to Bayesian Networks Software Packages for Structure and Parameter Learning -- 2025 Edition
Joverlyn Gaudillo
Nicole Astrologo
Fabio Stella
Enzo Acerbi
Francesco Canonaco
CML
277
0
0
21 Mar 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data?
Xiangjian Jiang
Nikola Simidjievski
M. Jamnik
LMTD
268
2
0
13 Mar 2025
Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
International Conference on Applied Informatics (ICAI), 2024
Pablo de los Riscos
Fernando Corbacho
CML
234
0
0
28 Oct 2024
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming
Abdelmonem Elrefaey
Rong Pan
272
0
0
22 Oct 2024
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Anastasiya Danilenka
Alireza Furutanpey
Víctor Casamayor Pujol
Boris Sedlak
Anna Lackinger
M. Ganzha
M. Paprzycki
Schahram Dustdar
386
3
0
09 Oct 2024
bnRep: A repository of Bayesian networks from the academic literature
Manuele Leonelli
302
10
0
27 Sep 2024
Adaptive Stream Processing on Edge Devices through Active Inference
Boris Sedlak
Víctor Casamayor Pujol
Andrea Morichetta
Praveen Kumar Donta
Schahram Dustdar
245
4
0
26 Sep 2024
Using GPT-4 to guide causal machine learning
Anthony C. Constantinou
N. K. Kitson
Alessio Zanga
CML
310
7
0
26 Jul 2024
Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach
Yuyang Sun
Jingyu Lei
Panagiotis Kosmas
162
2
0
24 Jun 2024
Investigating potential causes of Sepsis with Bayesian network structure learning
Bruno Petrungaro
N. K. Kitson
Anthony C. Constantinou
CML
297
2
0
13 Jun 2024
Verbalized Probabilistic Graphical Modeling
Hengguan Huang
Xing Shen
Songtao Wang
Dianbo Liu
Hao Wang
Hao Wang
Samir Bhatt
209
0
0
08 Jun 2024
Local Causal Structure Learning in the Presence of Latent Variables
Feng Xie
Zheng Li
Peng Wu
Yan Zeng
Chunchen Liu
Zhi Geng
CML
353
6
0
25 May 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity
IEEE transactions on fuzzy systems (IEEE Trans. Fuzzy Syst.), 2024
Wenrui Li
Wei Zhang
Qinghao Zhang
Xuegong Zhang
Xiaowo Wang
236
5
0
14 May 2024
Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
Harshini Gangapuram
V. Manian
170
0
0
30 Apr 2024
Inference of Causal Networks using a Topological Threshold
Filipe Barroso
Diogo Gomes
Gareth J. Baxter
172
0
0
21 Apr 2024
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes
Sheresh Zahoor
Anthony C. Constantinou
Tim M Curtis
Mohammed Hasanuzzaman
CML
211
2
0
21 Mar 2024
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
279
28
0
06 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data
Giannis Nikolentzos
Siyun Wang
J. Lutzeyer
Michalis Vazirgiannis
180
3
0
05 Feb 2024
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph
Information Processing & Management (IPM), 2023
Tianqianjin Lin
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Weikang Yuan
Xurui Li
Changlong Sun
Cui Huang
Xiaozhong Liu
248
11
0
10 Dec 2023
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning
IFIP International Conference on Intelligent Information Processing (IIP), 2023
Ouyang Hui
Cheng Chen
Ke Tang
215
1
0
04 Dec 2023
Causal Structure Learning Supervised by Large Language Model
Taiyu Ban
Lyuzhou Chen
Derui Lyu
Xiangyu Wang
Huanhuan Chen
203
24
0
20 Nov 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Neural Information Processing Systems (NeurIPS), 2023
Yeshu Li
Brian Ziebart
OOD
203
1
0
10 Nov 2023
Causal discovery using dynamically requested knowledge
Knowledge-Based Systems (KBS), 2023
N. K. Kitson
Anthony C. Constantinou
CML
176
3
0
17 Oct 2023
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality
Sein Minn
Shunkai Fu
CML
BDL
264
1
0
13 Oct 2023
Learning bounded-degree polytrees with known skeleton
International Conference on Algorithmic Learning Theory (ALT), 2023
Davin Choo
Joy Qiping Yang
Arnab Bhattacharyya
C. Canonne
258
3
0
10 Oct 2023
CoLiDE: Concomitant Linear DAG Estimation
International Conference on Learning Representations (ICLR), 2023
S. S. Saboksayr
Gonzalo Mateos
Mariano Tepper
CML
339
8
0
04 Oct 2023
Towards true discovery of the differential equations
A. Hvatov
Roman V. Titov
200
2
0
09 Aug 2023
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models
Information and Software Technology (IST), 2023
R. Maier
A. Schlattl
Thomas Guess
J. Mottok
AI4CE
284
7
0
02 Aug 2023
Causal Inference for Banking Finance and Insurance A Survey
Satyam Kumar
Yelleti Vivek
V. Ravi
I. Bose
CML
242
5
0
31 Jul 2023
Tuning structure learning algorithms with out-of-sample and resampling strategies
Knowledge and Information Systems (KAIS), 2023
Kiattikun Chobtham
Anthony C. Constantinou
CML
183
2
0
24 Jun 2023
A Bayesian Take on Gaussian Process Networks
Neural Information Processing Systems (NeurIPS), 2023
Enrico Giudice
Jack Kuipers
G. Moffa
GP
298
4
0
20 Jun 2023
Probabilistic Multi-Dimensional Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Vu-Linh Nguyen
Yang Yang
Cassio de Campos
267
3
0
10 Jun 2023
Poisoning Network Flow Classifiers
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2023
Giorgio Severi
Simona Boboila
Alina Oprea
J. Holodnak
K. Kratkiewicz
J. Matterer
AAML
205
6
0
02 Jun 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK
Expert systems with applications (ESWA), 2023
Anthony C. Constantinou
N. K. Kitson
Yang Liu
Kiattikun Chobtham
Arian Hashemzadeh
Praharsh Nanavati
R. Mbuvha
Bruno Petrungaro
CML
199
18
0
05 May 2023
Inferential Moments of Uncertain Multivariable Systems
Junheng Li
241
1
0
03 May 2023
1
2
Next
