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tmasada

Tomonari Masada

48 SlideShares28 Followers7 Followings
48 SlideShares28 Followers7 Followings
Personal Information
Organization / Workplace
Tokyo Japan
Occupation
Professor
Industry
Education
Website
tomonari-masada.github.io/
About
MY RESEARCH GOAL: Extracting latent DIVERSITIES from data with MATHEMATICAL MODELING. Specialties: data mining, Bayesian modeling, information retrieval, Web mining
Contact Details

Presentations(18) 

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Denoising Diffusion Probabilistic Modelsの重要な式の解説
Denoising Diffusion Probabilistic Modelsの重要な式の解説Denoising Diffusion Probabilistic Modelsの重要な式の解説
Denoising Diffusion Probabilistic Modelsの重要な式の解説
 
トピックモデルの基礎と応用
トピックモデルの基礎と応用トピックモデルの基礎と応用
トピックモデルの基礎と応用
 
A Simple Stochastic Gradient Variational Bayes for the Correlated Topic Model
A Simple Stochastic Gradient Variational Bayes for the Correlated Topic ModelA Simple Stochastic Gradient Variational Bayes for the Correlated Topic Model
A Simple Stochastic Gradient Variational Bayes for the Correlated Topic Model
 

Documents(30) 

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Learning Latent Space Energy Based Prior Modelの解説
Learning Latent Space Energy Based Prior Modelの解説Learning Latent Space Energy Based Prior Modelの解説
Learning Latent Space Energy Based Prior Modelの解説
 
Context-dependent Token-wise Variational Autoencoder for Topic Modeling
Context-dependent Token-wise Variational Autoencoder for Topic ModelingContext-dependent Token-wise Variational Autoencoder for Topic Modeling
Context-dependent Token-wise Variational Autoencoder for Topic Modeling
 
A note on the density of Gumbel-softmax
A note on the density of Gumbel-softmaxA note on the density of Gumbel-softmax
A note on the density of Gumbel-softmax