Genetic Programming Bibliography entries for Mehul Motani

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GP coauthors/coeditors: Kei Sen Fong, Shelvia Wongso,

Genetic Programming conference papers by Mehul Motani

1. Kei Sen Fong and Mehul Motani. Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data. In Sanjoy Dasgupta and Stephan Mandt and Yingzhen Li editors, Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, volume 238, pages 2890-2898, Valencia, 2024. PMLR. details

2. Kei Sen Fong and Mehul Motani. Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. In Marcus Gallagher editor, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 37-38, Melbourne, Australia, 2024. Association for Computing Machinery. details

3. Kei Sen Fong and Mehul Motani. MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 878-886, Melbourne, Australia, 2024. Association for Computing Machinery. details

4. Kei Sen Fong and Shelvia Wongso and Mehul Motani. Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. In Alberto Moraglio editor, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 21-22, Lisbon, Portugal, 2023. Association for Computing Machinery. details