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researcher

Jiří Kubalík

7 papers hereh-index 15675 citations71 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.NE2
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedSymbolic Regression Driven by Training Data and Prior Knowledge

30 citations · 120 across the 7 of their papers we have counts for

collaborators
Showing cs.NEShow all

2 papers · 1 filter

cs.NE2025

Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression

Jiří Kubalík, Robert Babuška

Symbolic regression is a technique that can automatically derive analytic models from data. Traditionally, symbolic regression has been implemented primarily through genetic progra…

cs.NE2023★ 19 cited

Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression

Jiří Kubalík, Erik Derner, Robert Babuška

Many real-world systems can be described by mathematical models that are human-comprehensible, easy to analyze and help explain the system's behavior. Symbolic regression is a meth…

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