際際滷

際際滷Share a Scribd company logo
tmasada

Tomonari Masada

48 際際滷Shares28 Followers7 Followings
48 際際滷Shares28 Followers7 Followings
Personal Information
Organization / Workplace
Tokyo Japan
Occupation
Professor
Industry
Education
Website
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)?

See all
Denoising Diffusion Probabilistic Modelsの嶷勣な塀の盾h
Denoising Diffusion Probabilistic Modelsの嶷勣な塀の盾hDenoising Diffusion Probabilistic Modelsの嶷勣な塀の盾h
Denoising Diffusion Probabilistic Modelsの嶷勣な塀の盾h
?
トピックモデルの児粥と鮄
トピックモデルの児粥と鮄トピックモデルの児粥と鮄
トピックモデルの児粥と鮄
?
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)?

See all
Learning Latent Space Energy Based Prior Modelの盾h
Learning Latent Space Energy Based Prior Modelの盾hLearning Latent Space Energy Based Prior Modelの盾h
Learning Latent Space Energy Based Prior Modelの盾h
?
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
?