Antonio Salmerón
6 papers · 2016–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🚀
Conference Pioneer
📈
Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Models
(2)
Optimization
(2)
Architectures
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
variational inference
(3)
bayesian network
(3)
probabilistic inference
(2)
conjugate exponential model
(2)
expectation maximization
(1)
distributed learning
(1)
deep learning
(1)
distributed computing
(1)
natural gradient
(1)
map inference
(1)
message passing
(1)
simulated annealing
(1)
maximum a posteriori
(1)
variational message passing
(1)
divide and conquer
(1)
scalable inference
(1)
probabilistic model
(1)
gaussian mixture model
(1)
data stream
(1)
mixture model
(1)
Papers
A Divide and Conquer Approach for Solving Structural Causal Models
PGM 2024
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022
Probabilistic Graphical Models with Neural Networks in InferPy
PGM 2020
Bayesian Models of Data Streams with Hierarchical Power Priors
ICML 2017
d-VMP: Distributed Variational Message Passing
PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016