Ricardo Henao

Associate Professor@Duke University·美国·OpenReview

研究方向

deep learning · computer vision · natural language processing · bioinformatics · computational biology · health · latent variable model · factormodels · topic models · Bayesian analysis · hierarchical models · probabilistic models

6.0

Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution

合作者 (13)

Ricardo Henao

Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution

Mechanistic Study of Transformer In-Context Learning with Categorical Outputs

Coupling Generative Modeling and an Autoencoder with the Causal Bridge

Learning Survival Distributions with the Asymmetric Laplace Distribution

On Understanding Attention-Based In-Context Learning for Categorical Data

Functional Gradients and Generalizations for Transformer In-Context Learning

Conditioning on Time is All You Need for Synthetic Survival Data Generation