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A. Sudo

4 papers hereh-index 5119 citations22 works total

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

author position
  • sole author2
  • first author1
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech2
  • cs.LG1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedChaos may enhance expressivity in cerebellar granular layer

24 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.stat-mech2026

Thermodynamics of Learning: A Typed Four-Component Accounting of Memory, Fit, and Value

Akihito Sudo

What a finite learning device has recorded and what will hold value for it on future tasks are not the same quantity. We develop a typed accounting for finite-state learning device…

cs.LG2021★ 1 cited

LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links

Akihito Sudo, Teng Teck Hou, Masaki Yamaguchi +1

Along with the desire to address more complex problems, feature selection methods have gained in importance. Feature selection methods can be classified into wrapper method, filter…

cond-mat.stat-mech2021

Mechanism-resolved second law for multipartite systems: An entropy-production ledger for correlation loss

Akihito Sudo

Internal correlation among the subsystems of a many-body system with additive bare energies stores free energy at kB​T per nat. Three one-step processes on three bits can share…

q-bio.NC2020★ 24 cited

Chaos may enhance expressivity in cerebellar granular layer

Keita Tokuda, Naoya Fujiwara, Akihito Sudo +1

Recent evidence suggests that Golgi cells in the cerebellar granular layer are densely connected to each other with massive gap junctions. Here, we propose that the massive gap jun…

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