Publications

Journal Papers (Refereed)

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.

So Nakashima, Yuki Sughiyama and Tetsuya J. Kobayashi
Lineage EM algorithm for inferring latent states from cellular lineage trees
SMB 2020 Annual Meeting, online, August 17 - August 20, 2020.
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.