Bayesian Modeling

All Work

AI that can learn the patterns of human language
AI that can learn the patterns of human language
MIT News
Asymptotic Guarantees for Generative Modeling based on the Smooth Wasserstein Distance
Asymptotic Guarantees for Generative Modeling based on the Smooth Wasserstein Distance
 
Approximate Cross-Validation for Structured Models
Approximate Cross-Validation for Structured Models
 
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
 
Using geometry to understand documents
Using geometry to understand documents
 
SPAHM: Parameter matching for model fusion
SPAHM: Parameter matching for model fusion
 
Variational Russian Roulette for Deep Bayesian Nonparametrics
Variational Russian Roulette for Deep Bayesian Nonparametrics