Martin Mølnå — accepted AI-conference papers

2025

The Unreasonable Effectiveness of Open Science in AI: A Replication Study

Odd Erik Gundersen, Odd Cappelen, Martin Mølnå, Nicklas Grimstad Nilsen

AAAI 2025technical

A reproducibility crisis has been reported in science, but the extent to which it affects AI research is not yet fully understood. Therefore, we performed a systematic replication study including 30 highly cited AI studies relying on original materials when available. In the end, eight articles were…

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2023

A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses

Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik, Martin Mølnå +2

AAAI 2023technical

Accurate day-ahead nominations of grid losses in electrical distribution networks are important to reduce the societal cost of these losses. We present a modification of the CatBoost ensemble-based system for day-ahead grid loss prediction detailed in Dalal et al. (2020), making four main changes. B…

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