研究概要

主要論文

「*」は、理研外のみでの成果です。

• 1. *Shuhei Kashiwamura, Ayaka Sakata, Masaaki Imaizumi
  "Effect of Weight Quantization on Learning Models by Typical Case Analysis"
  IEEE International Symposium on Information Processing, 357-362 (2024)
• 2. *Ayaka Sakata and Kunihiko Kaneko
  "Evolutionary Shaping of Low-Dimensional Path Facilitates Robust and Plastic Switching Between Phenotypes"
  Physical Review Research 5(4) 043296 (2023).
• 3. *Ayaka Sakata and Yoshiyuki Kabashima
  "Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing"
  IEEE Transactions on Information Theory, 69(9), 5902-5920 (2023).
• 4. *Ayaka Sakata
  "Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing"
  J. Phys. A: Math. Theor. 56 043001 (2023).
• 5. *Ayaka Sakata and Tomoyuki Obuchi
  "Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control"
  Journal of Statistical Mechanics: Theory and Experiment, vol. 2021(9), 093401 (2021).
• 6. *Ayaka Sakata
  "Active pooling design in group testing based on Bayesian posterior prediction"
  Phys. Rev. E 103, 022110 (2021).
• 7. *Ayaka Sakata
  "Bayesian inference of infected patients in group testing with prevalence estimation"
  J. Phys. Soc. Jpn. 89, 084001 (2020). Editors' choice
• 8. *Ayaka Sakata and Kunihiko Kaneko
  "Dimensional reduction in evolving spin-glass model: correlation of phenotypic responses to environmental and mutational changes"
  Physical Review Letters Vol. 124, No. 21, 218101 (2020).
• 9. *Tomoyuki Obuchi and Ayaka Sakata
  "Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration"
  Journal of Physics A: Mathematical and Theoretical, vol. 52, 414003 (2019).
• 10. *Ayaka Sakata
  "Estimator of Prediction Error Based on Approximate Message Passing for Penalized Linear Regression"
  Journal of Statistical Mechanics: Theory and Experiment, vol. 2018, pp. 063404-1-24 (2018).

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