Sumio Watanabe
- Artificial Intelligence top 1%
- Statistics and Probability top 1%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Keisuke YamazakiKazuho WatanabeKenji NagataKenji FukumizuMitsutoshi YoneyamaShinichi NakajimaШун-ичи АмариMotoaki Kawanabe
- Topics
- Bayesian Methods and Mixture Models (32 papers)Neural Networks and Applications (31 papers)Machine Learning and Algorithms (17 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Sumio Watanabe
76 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 900
- Statistics and Probability 342
- Computer Vision and Pattern Recognition 155
- Signal Processing 146
- Statistical and Nonlinear Physics 128
Countries citing papers authored by Sumio Watanabe
This map shows the geographic impact of Sumio Watanabe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sumio Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumio Watanabe more than expected).
Fields of papers citing papers by Sumio Watanabe
This network shows the impact of papers produced by Sumio Watanabe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sumio Watanabe. The network helps show where Sumio Watanabe may publish in the future.
Co-authorship network of co-authors of Sumio Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Sumio Watanabe. A scholar is included among the top collaborators of Sumio Watanabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumio Watanabe. Sumio Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Real Log Canonical Threshold of Three Layered Neural Network with Swish Activation Function | 1 |
| 2 | Weighted Blowup and Its Application to a Mixture of Multinomial Distributions | 2 |
| 3 | Phase Transition of Variational Bayes Learning in Bernoulli Mixture | 5 |
| 4 | 2 | |
| 5 | Asymptotic Behavior of Free Energy of General Boltzmann Machines in Mean Field Approximation | 1 |
| 6 | Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation | 33 |
| 7 | Analysis of Hierarchical Variational Bayes Approach in Linear Inverse Problem | 0 |
| 8 | 11 | |
| 9 | Generalization error of linear neural networks in an empirical bayes approach | 4 |
| 10 | Variational Bayesian Stochastic Complexity of Mixture Models | 6 |
| 11 | 1 | |
| 12 | A Probabilistic Algorithm to Calculate the Learning Curves of Hierarchical Learning Machines with Singularities | 6 |
| 13 | The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities | 1 |
| 14 | 61 | |
| 15 | 1 | |
| 16 | Algebraic Information Geometry for Learning Machines with Singularities | 17 |
| 17 | Algebraic Analysis for Non-regular Learning Machines | 11 |
| 18 | A Modified Information Criterion for Automatic Model and Parameter Selection in Neural Network Learning | 1 |
| 19 | Solvable Models of Artificial Neural Networks | 1 |
| 20 | An Optimization Method of Layered Neural Networks based on the Modified Information Criterion | 2 |
About Sumio Watanabe
Sumio Watanabe is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mathematics, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (32 papers), Neural Networks and Applications (31 papers) and Machine Learning and Algorithms (17 papers). The work is most often cited by research in Statistics and Probability (342 citations), Artificial Intelligence (900 citations) and Computational Mathematics (11 citations). Sumio Watanabe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Keisuke Yamazaki, Kazuho Watanabe, Kenji Nagata, Kenji Fukumizu, Mitsutoshi Yoneyama, Shinichi Nakajima, Шун-ичи Амари, Motoaki Kawanabe, Masashi Sugiyama and Klaus‐Robert Müller. Their work appears in journals such as Neural Computation, Neurocomputing and Neural Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.