So Nakashima

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

• So Nakashima and Tetsuya J. Kobayashi
  Acceleration of Evolutionary Processes by Learning and Extended Fisher’s Fundamental Theorem [journal] [arxiv] [biorxiv]
  Physical Review Research, 4:013069, 2022.
   

• Takanori Maehara and So Nakashima*
  Rank axiom of modular supermatroids: A connection with directional DR submodular functions [journal] [arxiv]
  Advances in Applied Mathematics, 134:102304, 2021.
   

• Takanori Maehara, So Nakashima, Yutaro Yamaguchi*
  Multiple Knapsack-Constrained Monotone DR-Submodular Maximization on Distributive Lattice— Continuous Greedy Algorithm on Median Complex — [journal] [arxiv]
  Mathematical Programming, 2021.
   

• 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.
   

• Hiroshi Hirai and So Nakashima*
  A Compact Representation for Modular Semilattices and its Applications [journal] [arxiv]
  Order, 37:479-507, 2020.
   

• Yuki Sughiyama, So Nakashima and Tetsuya J. Kobayashi
  Fitness response relation of a multi-type age-structured population dynamics [journal] [arxiv]
  Physical Review E, 99(1):012413, 2019.

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.

No preprints for now.