◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Yunus

3 papers hereh-index 2247 citations3 works total

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

author position
  • sole author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • hep-ph2
  • math.NT1
same name
  • M. Yunus — 5 papers, h 42
  • M. Yunus — 1 paper, h 1
  • M. Yunus — 1 paper, h 58

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

most citedQuasi Anomalous Knowledge: Searching for new physics with embedded knowledge

53 citations · 95 across the 3 of their papers we have counts for

collaborators

3 papers

math.NT2021

Asymptotics of p-torsion subgroup sizes in class groups of monogenized cubic fields

Mikaeel Yunus

Bhargava, Hanke, and Shankar have recently shown that the asymptotic average 2-torsion subgroup size of the family of class groups of monogenized cubic fields with positive and n…

hep-ph2021★ 42 cited

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics

Gregor Kasieczka, Benjamin Nachman, David Shih +44

A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…

hep-ph2020★ 53 cited

Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge

Sang Eon Park, Dylan Rankin, Silviu-Marian Udrescu +2

Discoveries of new phenomena often involve a dedicated search for a hypothetical physics signature. Recently, novel deep learning techniques have emerged for anomaly detection in t…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.