Ricardo Baptista
9 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Conference Polyglot (6)
π
Academic Marathon
(8)
π
Cross-Pollinator
(12)
π
Grand Slam
π
Trend Setter
Conferences
NIPS (3)
JMLR (2)
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
conditional independence
(3)
non-gaussian distribution
(3)
transport map
(3)
structure learning
(2)
graphical model
(2)
diffusion model
(2)
probabilistic graphical model
(2)
function space
(1)
gaussian process
(1)
bayesian optimization
(1)
neighborhood selection
(1)
markov random field
(1)
bayesian network
(1)
sparse structure
(1)
black-box function
(1)
acquisition function
(1)
normalizing flow
(1)
fluid dynamics
(1)
statistical downscaling
(1)
conditional sampling
(1)
Papers
Score-Based Diffusion Models in Function Space
JMLR 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models
AAAI 2025
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
AISTATS 2025
Neural Approximate Mirror Maps for Constrained Diffusion Models
ICLR 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
NIPS 2023
Structured Neural Networks for Density Estimation and Causal Inference
NIPS 2023
Bayesian Optimization of Combinatorial Structures
ICML 2018
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
NIPS 2017