Lukas Kammerer

18 papers Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum.
CoRR
Lukas Kammerer, Deaglan J. Bartlett, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira
2024 J jnl
The Inefficiency of Genetic Programming for Symbolic Regression - Extended Version.
CoRR
Gabriel Kronberger, Fabrício Olivetti de França, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer
2024 — conf
The Inefficiency of Genetic Programming for Symbolic Regression.
PPSN (1)
Gabriel Kronberger, Fabrício Olivetti de França, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer
2023 J jnl
A precise symbolic emulator of the linear matter power spectrum.
CoRR
Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro
2022 — conf
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
EUROCAST
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2022 J jnl
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
CoRR
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2021 J jnl
Cluster Analysis of a Symbolic Regression Search Space.
CoRR
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2021 J jnl
Data Aggregation for Reducing Training Data in Symbolic Regression.
CoRR
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2021 — conf
Empirical analysis of variance for genetic programming based symbolic regression.
GECCO Companion
Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler
2021 J jnl
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
CoRR
Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger
2021 J jnl
Identification of Dynamical Systems using Symbolic Regression.
CoRR
Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
2021 J jnl
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
CoRR
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2019 — conf
Data Aggregation for Reducing Training Data in Symbolic Regression.
EUROCAST (1)
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2019 — conf
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
EUROCAST (1)
Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger
2019 — conf
Identification of Dynamical Systems Using Symbolic Regression.
EUROCAST (1)
Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
2019 — conf
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
GPTP
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2018 — conf
Cluster Analysis of a Symbolic Regression Search Space.
GPTP
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2018 — conf
Confidence-based ensemble modeling in medical data mining.
GECCO (Companion)
Lukas Kammerer, Michael Affenzeller