◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kai S. Shimagaki

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.BM2

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

q-bio.BM2020

Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families

Pierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki +2

Boltzmann machines (BM) are widely used as generative models. For example, pairwise Potts models (PM), which are instances of the BM class, provide accurate statistical models of f…

q-bio.BM2019

Selection of sequence motifs and generative Hopfield-Potts models for protein familiesilies

Kai Shimagaki, Martin Weigt

Statistical models for families of evolutionary related proteins have recently gained interest: in particular pairwise Potts models, as those inferred by the Direct-Coupling Analys…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.