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Peer-reviewedCC BY 4.0Physical Review Research

Bliss of dimensionality: How an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets

  • Margherita Mele
  • Daniel Campos
  • Raffaello Potestio
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{mele2026bliss,
  title = {{Bliss of dimensionality: How an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets}},
  author = {Margherita Mele and Daniel Campos and Raffaello Potestio},
  journal = {Physical Review Research},
  year = {2026},
  month = oct,
  doi = {10.1103/3jcr-qy3d},
  url = {http://link.aps.org/doi/10.1103/3jcr-qy3d},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Bliss of dimensionality: How an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets
AU  - Margherita Mele
AU  - Daniel Campos
AU  - Raffaello Potestio
PY  - 2026
DA  - 2026/10/26
JO  - Physical Review Research
DO  - 10.1103/3jcr-qy3d
UR  - http://link.aps.org/doi/10.1103/3jcr-qy3d
SN  - 2643-1564
ER  -