Ricardo Baptista
9 papers · 2017–2025 · 6 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 (18) 🐣 Hot Topic Early Bird
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Grand Slam
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Mathematics & Optimization
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Core Methods
(3)
Models
(3)
Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Architectures
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
non-gaussian distribution
(3)
conditional independence
(3)
diffusion model
(3)
transport map
(3)
structure learning
(2)
graphical model
(2)
probabilistic graphical model
(2)
neighborhood selection
(1)
density estimation
(1)
langevin dynamics
(1)
constraint satisfaction
(1)
bayesian optimization
(1)
nonparametric estimation
(1)
gaussian process
(1)
semidefinite programming
(1)
bayesian network
(1)
function space
(1)
markov random field
(1)
generative model
(1)
optimal transport
(1)
Papers
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
AISTATS 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models
AAAI 2025
Neural Approximate Mirror Maps for Constrained Diffusion Models
ICLR 2025
Score-Based Diffusion Models in Function Space
JMLR 2025
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport
JMLR 2024
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
NeurIPS 2023
Structured Neural Networks for Density Estimation and Causal Inference
NeurIPS 2023
Bayesian Optimization of Combinatorial Structures
ICML 2018
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
NeurIPS 2017