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Michael Eickenberg

23 papers hereh-index 16670 citations32 works total

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

author position
  • first author1
  • middle author18
  • last author3

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO16
  • cs.LG3
  • stat.ML2
  • astro-ph.IM1
  • physics.flu-dyn1
same name
  • Michael Eickenberg — 11 papers, h 7
  • Michael Eickenberg — 5 papers, h 9
  • Michael Eickenberg — 3 papers, h 4
  • Michael Eickenberg — 2 papers, h 6
  • Michael Eickenberg — 1 paper
  • Michael Eickenberg — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedThe CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

69 citations · 388 across the 23 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.LG2024

Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task

Siavash Golkar, Alberto Bietti, Mariel Pettee +12

Transformers have revolutionized machine learning across diverse domains, yet understanding their behavior remains crucial, particularly in high-stakes applications. This paper int…

astro-ph.CO2024★ 4 cited

{\sc SimBIG}: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra

Elena Massara, ChangHoon Hahn, Michael Eickenberg +7

We present the first ΛCDM cosmological analysis performed on a galaxy survey using marked power spectra. The marked power spectrum is the two-point function of a marked field, wh…

astro-ph.CO2024★ 1 cited

SIMBIG: Cosmological Constraints from the Redshift-Space Galaxy Skew Spectra

Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn +7

Extracting the non-Gaussian information of the cosmic large-scale structure (LSS) is vital in unlocking the full potential of the rich datasets from the upcoming stage-IV galaxy su…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.