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researcher

V. Austel

3 papers hereh-index 12643 citations23 works total

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

author position
  • first author2
  • middle author1

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

fields
  • cs.AI1
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedGlobally Optimal Symbolic Regression

14 citations · 21 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2021★ 4 cited

AI Descartes: Combining Data and Theory for Derivable Scientific Discovery

Cristina Cornelio, Sanjeeb Dash, Vernon Austel +6

Scientists have long aimed to discover meaningful formulae which accurately describe experimental data. A common approach is to manually create mathematical models of natural pheno…

cs.LG2020★ 3 cited

Symbolic Regression using Mixed-Integer Nonlinear Optimization

Vernon Austel, Cristina Cornelio, Sanjeeb Dash +4

The Symbolic Regression (SR) problem, where the goal is to find a regression function that does not have a pre-specified form but is any function that can be composed of a list of…

stat.ML2017★ 14 cited

Globally Optimal Symbolic Regression

Vernon Austel, Sanjeeb Dash, Oktay Gunluk +4

In this study we introduce a new technique for symbolic regression that guarantees global optimality. This is achieved by formulating a mixed integer non-linear program (MINLP) who…

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