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Tomonari Masada

Tomonari Masada

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48 SlideShares 0 Clipboards 27 Followers 7 Followings
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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
Tags
topic model machine learning variational inference bayesian vae lstm data mining lda gaussian distribution density gumbel-softmax gümbel ベイズ データマイニング テキストマイニング 機械学習 トピックモデル implicit distributions gan document modeling rnn topicrnn husserliana fdse conference fdse2015 gaussian process soft-plus polynomials free energy mdae pcvb0 cvb hdp traffic speed gamma distribution laplace distribution sparse additive generative models exponential distribution cikm2012 "topic model" icadl2011 cikm 2009 ieaaie 2009 adma 2009 pakdd 2008 apwebwaim 2009 isnn 2010
See more
Presentations (18)
See all
Dynamic Hyperparameter Optimization for Bayesian Topical Trend Analysis
13 years ago • 525 Views
Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA compatible devices
13 years ago • 998 Views
Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation
13 years ago • 1708 Views
Unmixed Spectrum Clustering for Template Composition in Lung Sound Classification
13 years ago • 493 Views
Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
13 years ago • 372 Views
Modeling Topical Trends over Continuous Time with Priors
12 years ago • 334 Views
Documents as a Bag of Maximal Substrings: An Unsupervised Feature Extraction for Document Clustering
11 years ago • 407 Views
Steering Time-Dependent Estimation of Posteriors with Hyperparameter Indexing in Bayesian Topic Models
11 years ago • 284 Views
Semi-supervised Bibliographic Element Segmentation with Latent Permutations
11 years ago • 5409 Views
Extraction of topic evolutions from references in scientific articles and its GPU acceleration
10 years ago • 451 Views
Infinite Latent Process Decomposition
10 years ago • 311 Views
A Topic Model for Traffic Speed Data Analysis
9 years ago • 610 Views
ChronoSAGE: Diversifying Topic Modeling Chronologically
8 years ago • 5534 Views
FDSE2015
7 years ago • 411 Views
A Simple Stochastic Gradient Variational Bayes for Latent Dirichlet Allocation
6 years ago • 7584 Views
A Simple Stochastic Gradient Variational Bayes for the Correlated Topic Model
6 years ago • 5261 Views
トピックモデルの基礎と応用
4 years ago • 8451 Views
Denoising Diffusion Probabilistic Modelsの重要な式の解説
2 years ago • 1063 Views
Documents (30)
See all
A Note on the Derivation of the Variational Inference Updates for DILN
9 years ago • 459 Views
A Note on Over-replicated Softmax Model
9 years ago • 265 Views
A Note on Sparse Stochastic Inference for Latent Dirichlet Allocation
9 years ago • 303 Views
A proof of an equation containing improper gamma distribution
9 years ago • 243 Views
A Note on Correlated Topic Models
9 years ago • 350 Views
A Note on Expectation-Propagation for Latent Dirichlet Allocation
9 years ago • 603 Views
Supplementary material for my following paper: Extraction of Topic Evolutions from References in Scientific Articles and Its GPU Acceleration
9 years ago • 252 Views
SIRM(Subset Infinite Relational Models)の式導出の解説
9 years ago • 300 Views
Gaussian Processes for Machine Learning のExercise 3.10.5 の答え
9 years ago • 391 Views
Nonparametric Factor Analysis with Beta Process Priors の式解説
9 years ago • 377 Views
Supplementary material for my following paper: Infinite Latent Process Decomposition
9 years ago • 5198 Views
A Note on PCVB0 for HDP-LDA
8 years ago • 399 Views
The detailed derivation of the derivatives in Table 2 of Marginalized Denoising Auto-encoders for Nonlinear Representations by M. Chen, K. Weinberger, F. Sha, and Y. Bengio
8 years ago • 462 Views
A Note on BPTT for LSTM LM
8 years ago • 7906 Views
A derivation of the sampling formulas for An Entity-Topic Model for Entity Linking [Han+ EMNLP-CoNLL12] and A Context-Aware Topic Model for Statistical Machine Translation [Su+ ACL15]
7 years ago • 260 Views
A Simple Stochastic Gradient Variational Bayes for Latent Dirichlet Allocation
7 years ago • 399 Views
Word count in Husserliana Volumes 1 to 28
7 years ago • 1573 Views
Poisson factorization
6 years ago • 6364 Views
Topic modeling with Poisson factorization (2)
6 years ago • 548 Views
A Note on TopicRNN
5 years ago • 428 Views
A Note on Latent LSTM Allocation
5 years ago • 380 Views
A Note on ZINB-VAE
5 years ago • 200 Views
LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition
5 years ago • 5806 Views
Document Modeling with Implicit Approximate Posterior Distributions
5 years ago • 153 Views
A note on variational inference for the univariate Gaussian
5 years ago • 468 Views
Mini-batch Variational Inference for Time-Aware Topic Modeling
4 years ago • 256 Views
Expectation propagation for latent Dirichlet allocation
4 years ago • 160 Views
A note on the density of Gumbel-softmax
4 years ago • 335 Views
Context-dependent Token-wise Variational Autoencoder for Topic Modeling
3 years ago • 407 Views
Learning Latent Space Energy Based Prior Modelの解説
10 months ago • 686 Views
Likes (2)
MIRU2013チュートリアル:SIFTとそれ以降のアプローチ
Hironobu Fujiyoshi • 9 years ago
World ia day
Yoshifumi Seki • 10 years ago
  • Activity
  • About

Presentations (18)
See all
Dynamic Hyperparameter Optimization for Bayesian Topical Trend Analysis
13 years ago • 525 Views
Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA compatible devices
13 years ago • 998 Views
Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation
13 years ago • 1708 Views
Unmixed Spectrum Clustering for Template Composition in Lung Sound Classification
13 years ago • 493 Views
Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
13 years ago • 372 Views
Modeling Topical Trends over Continuous Time with Priors
12 years ago • 334 Views
Documents as a Bag of Maximal Substrings: An Unsupervised Feature Extraction for Document Clustering
11 years ago • 407 Views
Steering Time-Dependent Estimation of Posteriors with Hyperparameter Indexing in Bayesian Topic Models
11 years ago • 284 Views
Semi-supervised Bibliographic Element Segmentation with Latent Permutations
11 years ago • 5409 Views
Extraction of topic evolutions from references in scientific articles and its GPU acceleration
10 years ago • 451 Views
Infinite Latent Process Decomposition
10 years ago • 311 Views
A Topic Model for Traffic Speed Data Analysis
9 years ago • 610 Views
ChronoSAGE: Diversifying Topic Modeling Chronologically
8 years ago • 5534 Views
FDSE2015
7 years ago • 411 Views
A Simple Stochastic Gradient Variational Bayes for Latent Dirichlet Allocation
6 years ago • 7584 Views
A Simple Stochastic Gradient Variational Bayes for the Correlated Topic Model
6 years ago • 5261 Views
トピックモデルの基礎と応用
4 years ago • 8451 Views
Denoising Diffusion Probabilistic Modelsの重要な式の解説
2 years ago • 1063 Views
Documents (30)
See all
A Note on the Derivation of the Variational Inference Updates for DILN
9 years ago • 459 Views
A Note on Over-replicated Softmax Model
9 years ago • 265 Views
A Note on Sparse Stochastic Inference for Latent Dirichlet Allocation
9 years ago • 303 Views
A proof of an equation containing improper gamma distribution
9 years ago • 243 Views
A Note on Correlated Topic Models
9 years ago • 350 Views
A Note on Expectation-Propagation for Latent Dirichlet Allocation
9 years ago • 603 Views
Supplementary material for my following paper: Extraction of Topic Evolutions from References in Scientific Articles and Its GPU Acceleration
9 years ago • 252 Views
SIRM(Subset Infinite Relational Models)の式導出の解説
9 years ago • 300 Views
Gaussian Processes for Machine Learning のExercise 3.10.5 の答え
9 years ago • 391 Views
Nonparametric Factor Analysis with Beta Process Priors の式解説
9 years ago • 377 Views
Supplementary material for my following paper: Infinite Latent Process Decomposition
9 years ago • 5198 Views
A Note on PCVB0 for HDP-LDA
8 years ago • 399 Views
The detailed derivation of the derivatives in Table 2 of Marginalized Denoising Auto-encoders for Nonlinear Representations by M. Chen, K. Weinberger, F. Sha, and Y. Bengio
8 years ago • 462 Views
A Note on BPTT for LSTM LM
8 years ago • 7906 Views
A derivation of the sampling formulas for An Entity-Topic Model for Entity Linking [Han+ EMNLP-CoNLL12] and A Context-Aware Topic Model for Statistical Machine Translation [Su+ ACL15]
7 years ago • 260 Views
A Simple Stochastic Gradient Variational Bayes for Latent Dirichlet Allocation
7 years ago • 399 Views
Word count in Husserliana Volumes 1 to 28
7 years ago • 1573 Views
Poisson factorization
6 years ago • 6364 Views
Topic modeling with Poisson factorization (2)
6 years ago • 548 Views
A Note on TopicRNN
5 years ago • 428 Views
A Note on Latent LSTM Allocation
5 years ago • 380 Views
A Note on ZINB-VAE
5 years ago • 200 Views
LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition
5 years ago • 5806 Views
Document Modeling with Implicit Approximate Posterior Distributions
5 years ago • 153 Views
A note on variational inference for the univariate Gaussian
5 years ago • 468 Views
Mini-batch Variational Inference for Time-Aware Topic Modeling
4 years ago • 256 Views
Expectation propagation for latent Dirichlet allocation
4 years ago • 160 Views
A note on the density of Gumbel-softmax
4 years ago • 335 Views
Context-dependent Token-wise Variational Autoencoder for Topic Modeling
3 years ago • 407 Views
Learning Latent Space Energy Based Prior Modelの解説
10 months ago • 686 Views
Likes (2)
MIRU2013チュートリアル:SIFTとそれ以降のアプローチ
Hironobu Fujiyoshi • 9 years ago
World ia day
Yoshifumi Seki • 10 years ago
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
Tags
topic model machine learning variational inference bayesian vae lstm data mining lda gaussian distribution density gumbel-softmax gümbel ベイズ データマイニング テキストマイニング 機械学習 トピックモデル implicit distributions gan document modeling rnn topicrnn husserliana fdse conference fdse2015 gaussian process soft-plus polynomials free energy mdae pcvb0 cvb hdp traffic speed gamma distribution laplace distribution sparse additive generative models exponential distribution cikm2012 "topic model" icadl2011 cikm 2009 ieaaie 2009 adma 2009 pakdd 2008 apwebwaim 2009 isnn 2010
See more

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