Maximilian Kleissl

According to our database1, Maximilian Kleissl authored at least 3 papers between 2022 and 2026.

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Bibliography

2026
Selecting synthetic data for successful simulation-based transfer learning in dynamical biological systems.
BMC Bioinform., December, 2026

2023
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Towards explainable real estate valuation via evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022


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