Pablo M. Olmos
7 papers · 2011–2026 · 6 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (21)
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Research topics
Deep Learning
(6)
Machine Learning
(4)
Models
(4)
Artificial Intelligence
(2)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
variational autoencoder
(2)
variational inference
(2)
adversarial training
(2)
message passing
(1)
expectation propagation
(1)
gaussian priors
(1)
variational training
(1)
tree-structured inference
(1)
channel coding
(1)
implicit neural representation
(1)
graphical model
(1)
diffusion model
(1)
tree structure
(1)
normalizing flow
(1)
heavy-tailed distribution
(1)
image resolution
(1)
uncertainty calibration
(1)
error-correcting code
(1)
mode collapse
(1)
implicit generative model
(1)
Papers
Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss
JMLR 2026
Improved Variational Inference in Discrete VAEs using Error Correcting Codes
UAI 2025
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
ICML 2024
Diffusion X-ray image denoising
MIDL 2024
Efficient local linearity regularization to overcome catastrophic overfitting
ICLR 2024
Variational Mixture of HyperGenerators for Learning Distributions over Functions
ICML 2023
An Application of Tree-Structured Expectation Propagation for Channel Decoding
NeurIPS 2011