Skip to content
DraconiticResearch
Search Sources API
190,851 studies31 sourcesUpdated 10 min ago
Peer-reviewedCC BY 4.0Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques

A theory of stratification learning

Related

  1. Stratification of the space of density matrices via invariant theory and Uhlmann's connection
    Howy Jordan, Markus J. Pflaum, Gerd Rudolph
    arXivPreprintarXiv licenceFull textAnalysis & PDEsGeometry & topologyarXiv
  2. Machine Learning for Pre-Culture ESBL Risk Stratification to Guide Empiric Antibiotic Selection: A 12-Hospital Study of Enterobacteriaceae Cultures
    Aravind V. Kuruvikkattil, Lalitha Pranathi Pulavarthy, Rashmita Kudamala +1
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  3. A Measure-Geometric Theory of Robustness in Machine Learning
    Cheng-Chao Huang
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  4. Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning
    Yatin Dandi, Matteo Vilucchio, Luca Arnaboldi +2
    arXivPreprintCC BY 4.0Full textStatisticsCondensed matterarXiv
  5. In-Context Learning Before Specialisation: Theory of Learning in a Solvable Topic Model
    Francesco Cagnetta, Casper L. Christensen
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
BibTeX
@article{aamari2026theory,
  title = {{A theory of stratification learning}},
  author = {Eddie Aamari and Clément Berenfeld},
  journal = {Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques},
  year = {2026},
  month = oct,
  url = {https://hal.science/hal-04594615v2},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - A theory of stratification learning
AU  - Eddie Aamari
AU  - Clément Berenfeld
PY  - 2026
DA  - 2026/10/26
JO  - Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques
UR  - https://hal.science/hal-04594615v2
SN  - 0020-2347
ER  -