Alejandro Molina
7 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🚀 Conference Pioneer
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(3)
Models
(3)
Optimization & Theory
(3)
Architectures
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Core AI
(1)
Methods
(1)
Keywords
sum-product network
(3)
probabilistic modeling
(2)
tractable inference
(2)
anomaly detection
(2)
density estimation
(2)
neural network optimization
(1)
automatic differentiation
(1)
exact inference
(1)
model pruning
(1)
neural plasticity
(1)
expectation-maximization algorithm
(1)
generative model
(1)
probabilistic graphical model
(1)
autoregressive model
(1)
end-to-end learning
(1)
activation function
(1)
generative image model
(1)
probabilistic circuit
(1)
residual connection
(1)
exploratory data analysis
(1)
Papers
Adaptive Rational Activations to Boost Deep Reinforcement Learning
ICLR 2024
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
PGM 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
ICML 2020
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
ICLR 2020
Residual Sum-Product Networks
PGM 2020
Automatic Bayesian Density Analysis
AAAI 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
UAI 2019