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researcher

J. Hirayama

5 papers hereh-index 10504 citations49 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • q-bio.NC2

identity via Semantic Scholar / OpenAlex

activity
20122022
most citedBregman divergence as general framework to estimate unnormalized statistical models

21 citations · 38 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2022★ 17 cited

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

Reinmar J Kobler, Jun-ichiro Hirayama, Qibin Zhao +1

Electroencephalography (EEG) provides access to neuronal dynamics non-invasively with millisecond resolution, rendering it a viable method in neuroscience and healthcare. However,…

cs.LG2021

On the interpretation of linear Riemannian tangent space model parameters in M/EEG

Reinmar J. Kobler, Jun-Ichiro Hirayama, Lea Hehenberger Catarina Lopes-Dias +2

Riemannian tangent space methods offer state-of-the-art performance in magnetoencephalography (MEG) and electroencephalography (EEG) based applications such as brain-computer inter…

cs.LG2012★ 21 cited

Bregman divergence as general framework to estimate unnormalized statistical models

Michael Gutmann, Jun-ichiro Hirayama

We show that the Bregman divergence provides a rich framework to estimate unnormalized statistical models for continuous or discrete random variables, that is, models which do not…

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