Alejandro Molina
7 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5)
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Cross-Pollinator
(12)
πΊοΈ
Taxonomy Completionist
(10)
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Conference Pioneer
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Trend Setter
Conferences
ICLR (2)
PGM (2)
AAAI (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
sum-product network
(3)
tractable inference
(2)
density estimation
(2)
anomaly detection
(2)
deep learning
(1)
automatic differentiation
(1)
exact inference
(1)
model pruning
(1)
expectation-maximization algorithm
(1)
generative model
(1)
probabilistic graphical model
(1)
generative image model
(1)
probabilistic circuit
(1)
exploratory data analysis
(1)
conditional density estimation
(1)
discriminative model
(1)
residual learning
(1)
multivariate distribution
(1)
conditional sum-product network
(1)
probabilistic deep learning
(1)
Papers
Adaptive Rational Activations to Boost Deep Reinforcement Learning
ICLR 2024
PadΓ© Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
ICLR 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
ICML 2020
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
PGM 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