◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mikhail M. Meskhi

3 papers hereh-index 327 citations3 works total

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

author position
  • first author2
  • last author1

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

fields
  • cs.LG2
  • astro-ph.HE1

identity via Semantic Scholar / OpenAlex

most citedA General Approach to Domain Adaptation with Applications in Astronomy

10 citations · 18 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.HE2021★ 8 cited

A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae

Mikhail M. Meskhi, Noah E. Wolfe, Zhenyu Dai +4

Understanding how matter behaves at the highest densities and temperatures is a major open problem in both nuclear physics and relativistic astrophysics. This physics is often enca…

cs.LG2021

Learning Abstract Task Representations

Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani +1

A proper form of data characterization can guide the process of learning-algorithm selection and model-performance estimation. The field of meta-learning has provided a rich body o…

cs.LG2018★ 10 cited

A General Approach to Domain Adaptation with Applications in Astronomy

Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber +1

The ability to build a model on a source task and subsequently adapt such model on a new target task is a pervasive need in many astronomical applications. The problem is generally…

◍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.