Research theme for competitive and other funds (6)：
2015 - 2017 Development of X-ray CT algorithm that integrates information of absorption-contrast and phase-contrast X-ray
2010 - 2015 Development of system identification methods of mesoscopic neurocircuitry based on multi-dimensional imaging data
2010 - 2012 Study about the learning algorithm applicable to large-scale Markov Random Fields
2009 - 2011 A study of modular models of decision making in uncertain and non-stationary environments
2007 - 2009 Learning of a sparse code by a constrained optimization
2006 - 2009 Reseach for stable bioinformatics method based on hierarchical Bayes inference.
Show all
Papers (45)：
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon. Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. CoRR. 2021. abs/2109.13432
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi. A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. CoRR. 2021. abs/2108.11018
Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan. Reconnaissance for Reinforcement Learning with Safety Constraints. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference. 2021. 567-582
Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda. Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods. IEEE International Conference on Robotics and Automation(ICRA). 2021. 2620-2626
Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama. Meta Learning as Bayes Risk Minimization. CoRR. 2020. abs/2006.01488
Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii. Neural Sequence Model Training via α-divergence Minimization. International Conference on Machine Learning (ICML) Workshop on Learning to Generate Natural Language. 2017. abs/1706.10031
Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama. Synthetic Gradient Methods with Virtual Forward-Backward Networks. 5th International Conference on Learning Representations. 2017
Takeru Miyato, Shin-ichi Maeda, Masnori Koyama, Ken Nakae, Shin Ishii. Distributional Smoothing with Virtual Adversarial Training. International Conference on Learning Representations. 2016
Maeda Shin-ichi. AI-3-3 Pretraining and related topics. Proceedings of the IEICE Engineering Sciences Society/NOLTA Society Conference. 2016. 2016. "SS-34"-"SS-35"
