Pedro Larrañaga
10 papers · 2015–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🌍 Conference Polyglot (2)
🌈
Renaissance Researcher
(5)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(13)
🤝
Dynamic Duo
(10)
🚀
Conference Pioneer
💎
Century Club
(10)
📈
Trend Setter
Conferences
PGM (9)
JMLR (1)
Top co-authors
Keywords
bayesian network
(4)
structure learning
(4)
bayesian network classifier
(4)
graphical model
(3)
bayesian inference
(2)
knowledge representation
(1)
model-based clustering
(1)
causal discovery
(1)
covariance matrix
(1)
directed acyclic graph
(1)
time series
(1)
precision matrix
(1)
tractable inference
(1)
network visualization
(1)
probabilistic graphical model
(1)
adversarial training
(1)
decision boundary
(1)
generative adversarial network
(1)
matrix factorization
(1)
anomaly detection
(1)
Papers
Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms
PGM 2024
Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers
PGM 2022
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection
PGM 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
PGM 2022
BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks
PGM 2020
Discrete model-based clustering with overlapping subsets of attributes
PGM 2018
Learning Bayesian network classifiers with completed partially directed acyclic graphs
PGM 2018
A partial orthogonalization method for simulating covariance and concentration graph matrices
PGM 2018
Learning Tractable Multidimensional Bayesian Network Classifiers
PGM 2016
Decision Boundary for Discrete Bayesian Network Classifiers
JMLR 2015