So Nakashima

Journal Papers (Refereed)

In the papers marked by *, the authors are ordered alphabetically​.
 

• So Nakashima, Yuki Sughiyama and Tetsuya J. Kobayashi
  Lineage EM Algorithm for Inferring Latent States from Cellular Lineage Trees [journal] [arxiv] [bioarxiv]​
  Bioinformatics, 36(9):2829-2838, 2020.
  Bioarxiv is recommended because the supplementary information and the full-resolution figures are available.
   

• Hiroshi Hirai and So Nakashima*
  A Compact Representation for Modular Semilattices and its Applications [journal] [arxiv]
  Order, to appear.
   

• Yuki Sughiyama, So Nakashima and Tetsuya J. Kobayashi
  Fitness response relation of a multi-type age-structured population dynamics [journal] [arxiv]
  Physical Review E, vol. 99, no 1, pp. 012413, 2019.

Conferences (Refereed)

The speaker is underlined.
​

• So Nakashima and Takanori Maehara
  Subspace Selection via DR-Submodular Maximization on Lattices [arxiv]
  The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, USA, Jan. 27 - Feb. 1 , 2019.
  Acceptance rate 16.2%
   

• So Nakashima and Takanori Maehara
  Optimization from Non-Uniform Samples
  NIPS workshop on Discrete Structures in Machine Learning (DISCML'17), Long Beach, USA, Dec. 8, 2017.

Preprints

• Takanori Maehara, So Nakashima*
  Rank axiom of modular supermatroids: A connection with directional DR submodular functions [arxiv]
   

• Takanori Maehara, So Nakashima, Yutaro Yamaguchi*
  Multiple Knapsack-Constrained Monotone DR-Submodular Maximization on Distributive Lattice
  — Continuous Greedy Algorithm on Median Complex — [arxiv]

International Conferences & Workshops

• So Nakashima and Takanori Maehara
  Rank axiom of modular supermatroids — A connection with directional DR submodular functions — 
  The 11th Hungarian-Japanese Symposium on Discrete Mathematics and Its Applications (HJ2019), Tokyo, Japan, May 27 - May 30, 2019.
   

• So Nakashima, Yuki Sughiyama and Tetsuya J. Kobayashi
  EM based algorithm to infer both phenotypic state and cell division properties from lineage information
  Winter school on "Evolution of Diversity", les Houches, France, Feb. 25 - March 2, 2018.
   

• So Nakashima, Yuki Sughiyama and Tetsuya J. Kobayashi
  EM based algorithm to infer both phenotypic state and cell division properties from lineage information
  Qualitative principles in Biology, Heidelberg, Germany, Nov. 2 - 4, 2017.
   

• Hiroshi Hirai and So Nakashima*
  A Compact Representation for Modular Semilattices
  The 10th Japanese-Hungarian Symposiumon Discrete Mathematics and Its Applications (JHSDM '17), Budapest, Hungary, 
  May 22- 25, 2017.