Adrián Javaloy
6 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
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Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Architectures
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
normalizing flow
(2)
representation learning
(1)
multi-task learning
(1)
independent component analysis
(1)
density estimation
(1)
causal discovery
(1)
attention mechanism
(1)
multimodal learning
(1)
multi-label classification
(1)
tractable inference
(1)
nonlinear independent component analysis
(1)
diffusion model
(1)
autoregressive model
(1)
variational autoencoder
(1)
latent space
(1)
graph attention network
(1)
counterfactual reasoning
(1)
probabilistic circuit
(1)
negative transfer
(1)
graph convolutional network
(1)
Papers
A Sobering Look at Tabular Data Generation via Probabilistic Circuits
UAI 2026
Causal normalizing flows: from theory to practice
NeurIPS 2023
Learnable Graph Convolutional Attention Networks
ICLR 2023
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
ICML 2022
RotoGrad: Gradient Homogenization in Multitask Learning
ICLR 2022
Relative gradient optimization of the Jacobian term in unsupervised deep learning
NeurIPS 2020