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researcher

B. Dai

21 papers hereh-index 12533 citations21 works total

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

author position
  • first author9
  • middle author9
  • last author3

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO12
  • astro-ph.IM2
  • cs.LG2
  • astro-ph.GA1
  • astro-ph.HE1
  • cs.AI1
same name
  • B. Dai — 58 papers, h 22
  • B. Dai — 25 papers, h 25
  • B. Dai — 11 papers, h 11
  • B. Dai — 10 papers, h 24
  • B. Dai — 5 papers, h 5
  • B. Dai — 2 papers, h 6

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
20182026
most citedTranslation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis

50 citations · 284 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

astro-ph.CO2025

Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI

J. Choppin de Janvry, B. Dai, S. Gontcho A Gontcho +2

We reanalyze cosmological constraints from Hyper Suprime-Cam (HSC) Y3 shear-shear correlation function using new calibration of the tomographic redshift distribution via the cluste…

astro-ph.CO2025★ 1 cited

One latent to fit them all: a unified representation of baryonic feedback on matter distribution

Shurui Lin, Yin Li, Shy Genel +4

Accurate and parsimonious quantification of baryonic feedback on matter distribution is of crucial importance for understanding both cosmology and galaxy formation from observation…

astro-ph.CO2025★ 2 cited

Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps

Kangning Diao, Biwei Dai, Uros Seljak

Simulation-based inference provides a powerful framework for extracting rich information from nonlinear scales in current and upcoming cosmological surveys, and ensuring its robust…

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