| 2023 | ACML | Free Energy of Bayesian Convolutional Neural Network with Skip Connection. | Shuya Nagayasu, Sumio Watanabe |
| 2017 | ICANN | Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. | Masahiro Kohjima, Sumio Watanabe |
| 2016 | ICMLA | Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering. | Natsuki Koda, Sumio Watanabe |
| 2010 | ICONIP | On Generalization Error of Self-Organizing Map. | Fumiaki Saitoh, Sumio Watanabe |
| 2009 | ICONIP | Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes. | Daisuke Kaji, Sumio Watanabe |
| 2008 | ICAISC | On the Minima of Bethe Free Energy in Gaussian Distributions. | Yu Nishiyama, Sumio Watanabe |
| 2008 | ICANN | Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. | Yu Nishiyama, Sumio Watanabe |
| 2008 | ICONIP | Model Selection Method for AdaBoost Using Formal Information Criteria. | Daisuke Kaji, Sumio Watanabe |
| 2008 | ICONIP | Experimental Study of Ergodic Learning Curve in Hidden Markov Models. | Masashi Matsumoto, Sumio Watanabe |
| 2008 | ICONIP | Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models. | Kenji Nagata, Sumio Watanabe |
| 2008 | IJCNN | A formula of equations of states in singular learning machines. | Sumio Watanabe |
| 2007 | ICANN | Estimation of Poles of Zeta Function in Learning Theory Using Pad Approximation. | Ryosuke Iriguchi, Sumio Watanabe |
| 2007 | ICANN | On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities. | Takeshi Matsuda, Sumio Watanabe |
| 2007 | ICANN | Algebraic Geometric Study of Exchange Monte Carlo Method. | Kenji Nagata, Sumio Watanabe |
| 2007 | ICANN | Generalization Error of Automatic Relevance Determination. | Shinichi Nakajima, Sumio Watanabe |
| 2007 | ICANN | Theoretical Analysis of Accuracy of Gaussian Belief Propagation. | Yu Nishiyama, Sumio Watanabe |
| 2007 | ICML | Asymptotic Bayesian generalization error when training and test distributions are different. | Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Mller |
| 2007 | ICONIP | Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method. | Kenji Nagata, Sumio Watanabe |
| 2007 | ICONIP | Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift. | Keisuke Yamazaki, Sumio Watanabe |
| 2007 | MDAI | Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation. | Miki Aoyagi, Sumio Watanabe |
| 2006 | ICANN | Analytic Equivalence of Bayes a Posteriori Distributions. | Takeshi Matsuda, Sumio Watanabe |
| 2006 | ICANN | Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem. | Shinichi Nakajima, Sumio Watanabe |
| 2006 | ICANN | A Model Selection Method Based on Bound of Learning Coefficient. | Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Mller |
| 2006 | ICONIP | Free Energy of Stochastic Context Free Grammar on Variational Bayes. | Tikara Hosino, Kazuho Watanabe, Sumio Watanabe |
| 2006 | ICONIP | Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines. | Yu Nishiyama, Sumio Watanabe |
| 2006 | ICONIP | Localized Bayes Estimation for Non-identifiable Models. | Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe |
| 2006 | IJCNN | The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines. | Kenji Nagata, Sumio Watanabe |
| 2006 | IDEAL | Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models. | Kenji Nagata, Sumio Watanabe |
| 2006 | IDEAL | Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. | Kazuho Watanabe, Motoki Shiga, Sumio Watanabe |
| 2005 | ALT | Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. | Kazuho Watanabe, Sumio Watanabe |
| 2005 | IJCAI | Generalization Error of Linear Neural Networks in an Empirical Bayes Approach. | Shinichi Nakajima, Sumio Watanabe |
| 2005 | IJCNN | Stochastic complexity of variational Bayesian hidden Markov models. | Tikara Hosino, Kazuho Watanabe, Sumio Watanabe |
| 2004 | ALT | Estimation of the Data Region Using Extreme-Value Distributions. | Kazuho Watanabe, Sumio Watanabe |
| 2004 | ALT | Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions. | Keisuke Yamazaki, Sumio Watanabe |
| 2003 | UAI | Stochastic Complexity of Bayesian Networks. | Keisuke Yamazaki, Sumio Watanabe |
| 1999 | ALT | Algebraic Analysis for Singular Statistical Estimation. | Sumio Watanabe |
| 1998 | ICONIP | Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning. | Sumio Watanabe |