Our paper titled "An efficient branch-and-cut and heuristic algorithms for submodular function maximization" has been accepted for publication in
Journal of the Operations Research Society of Japan
Our paper titled "Learning with coherence patters in multivariate time-series data via dynamic mode decomposition" presented at
2019 International Joint Conference on Neural Networks (IJCNN'19)
received the Best Student Paper Award (2019.7.18).
Prof. Kawahara becomes a Subject Editor of
International Journal of Mathematics for Industrial
(World Scientific) (2019.7.17).
Ms. Yukiko Takahashi joins us as an assistant (in IMI, Kyushu Univ.) (2019.7.16).
Our paper titled "An Efficient Branch-and-Cut Algorithm for Approximately Submodular Function Maximization" has been accepted for publication in the proceedings of
the 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Our paper titled
"Dynamic mode decomposition with vector-valued reproducing kernels for extracting dynamical structures among observables"
appeared in Neural Networks (May 30th, 2019).
Our paper titled "Variational inference of penalized regression with submodular functions" has been accepted for publication in the proceedings of
the 35th Conf. on Uncertainty in Artificial Intelligence (UAI'19)
(May 5th, 2019).
Our paper titled "Dynamic mode decomposition with vector-valued reproducing kernels for extracting dynamical structures among observables" has been accepted for publication in
(Elsevier, IF: 7.179) (April 26th, 2019).
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Research and Development on Next-Generation AI and its Key Technology Based on Nonlinear Dynamics
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