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researcher

Jason Miller

66 papers hereh-index 302.8k citations100 works total

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

author position
  • sole author6
  • first author25
  • middle author18
  • last author17

Across the 66 of 66 papers where every author was matched, so the position is known.

fields
  • math.PR63
  • astro-ph.EP1
  • cs.LG1
  • stat.ML1
same name
  • Jason Miller — 8 papers, h 2
  • Jason Miller — 5 papers, h 1
  • Jason Miller — 3 papers, h 1
  • Jason Miller — 3 papers, h 1
  • Jason Miller — 2 papers, h 7
  • Jason Miller — 1 paper, 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
20082026
most citedLiouville quantum gravity and the Brownian map I: The QLE(8/3,0) metric

107 citations · 484 across the 43 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.PR2021

Tightness of approximations to the chemical distance metric for simple conformal loop ensembles

Jason Miller

Suppose that Γ is a conformal loop ensemble (CLEκ​) with simple loops (κ∈(8/3,4)) in a simply connected domain D⊆C whose boundary is itself a type of…

astro-ph.EP2021★ 1 cited

Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides

Ming Zhong, Jason Miller, Mauro Maggioni

Building accurate and predictive models of the underlying mechanisms of celestial motion has inspired fundamental developments in theoretical physics. Candidate theories seek to ex…

math.PR2021

Regularity of the SLE4​ uniformizing map and the SLE8​ trace

Konstantinos Kavvadias, Jason Miller, Lukas Schoug

We show that the modulus of continuity of the SLE4​ uniformizing map is given by (logδ−1)−1/3+o(1) as δ→0. As a consequence of our analysis, we show that the Jones…

cs.LG2021★ 2 cited

Learning Interaction Kernels for Agent Systems on Riemannian Manifolds

Mauro Maggioni, Jason Miller, Hongda Qiu +1

Interacting agent and particle systems are extensively used to model complex phenomena in science and engineering. We consider the problem of learning interaction kernels in these…

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