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Lukas Kammerer
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 16
Top Topics
Reducing The Search Space
Symbolic Regression
Genetic Programming
Nonlinear Least Squares
Top Venues
CoRR
EUROCAST (1)
GPTP
GECCO (Companion)
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Publications
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Gabriel Kronberger
,
Fabrício Olivetti de França
,
Harry Desmond
,
Deaglan J. Bartlett
,
Lukas Kammerer
The Inefficiency of Genetic Programming for Symbolic Regression - Extended Version.
CoRR
(2024)
Deaglan J. Bartlett
,
Lukas Kammerer
,
Gabriel Kronberger
,
Harry Desmond
,
Pedro G. Ferreira
,
Benjamin D. Wandelt
,
Bogdan Burlacu
,
David Alonso
,
Matteo Zennaro
A precise symbolic emulator of the linear matter power spectrum.
CoRR
(2023)
Lukas Kammerer
,
Gabriel Kronberger
,
Michael Kommenda
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
EUROCAST
(2022)
Lukas Kammerer
,
Gabriel Kronberger
,
Michael Kommenda
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
CoRR
(2022)
Gabriel Kronberger
,
Lukas Kammerer
,
Michael Kommenda
Identification of Dynamical Systems using Symbolic Regression.
CoRR
(2021)
Lukas Kammerer
,
Gabriel Kronberger
,
Stephan M. Winkler
Empirical analysis of variance for genetic programming based symbolic regression.
GECCO Companion
(2021)
Gabriel Kronberger
,
Lukas Kammerer
,
Bogdan Burlacu
,
Stephan M. Winkler
,
Michael Kommenda
,
Michael Affenzeller
Cluster Analysis of a Symbolic Regression Search Space.
CoRR
(2021)
Bogdan Burlacu
,
Lukas Kammerer
,
Michael Affenzeller
,
Gabriel Kronberger
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
CoRR
(2021)
Lukas Kammerer
,
Gabriel Kronberger
,
Bogdan Burlacu
,
Stephan M. Winkler
,
Michael Kommenda
,
Michael Affenzeller
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
CoRR
(2021)
Lukas Kammerer
,
Gabriel Kronberger
,
Michael Kommenda
Data Aggregation for Reducing Training Data in Symbolic Regression.
CoRR
(2021)
Lukas Kammerer
,
Gabriel Kronberger
,
Michael Kommenda
Data Aggregation for Reducing Training Data in Symbolic Regression.
EUROCAST (1)
(2019)
Bogdan Burlacu
,
Lukas Kammerer
,
Michael Affenzeller
,
Gabriel Kronberger
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
EUROCAST (1)
(2019)
Lukas Kammerer
,
Gabriel Kronberger
,
Bogdan Burlacu
,
Stephan M. Winkler
,
Michael Kommenda
,
Michael Affenzeller
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
GPTP
(2019)
Gabriel Kronberger
,
Lukas Kammerer
,
Michael Kommenda
Identification of Dynamical Systems Using Symbolic Regression.
EUROCAST (1)
(2019)
Lukas Kammerer
,
Michael Affenzeller
Confidence-based ensemble modeling in medical data mining.
GECCO (Companion)
(2018)
Gabriel Kronberger
,
Lukas Kammerer
,
Bogdan Burlacu
,
Stephan M. Winkler
,
Michael Kommenda
,
Michael Affenzeller
Cluster Analysis of a Symbolic Regression Search Space.
GPTP
(2018)