Genetic Programming Bibliography entries for Brenden Kyle Petersen
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GP coauthors/coeditors:
Joanne Taery Kim,
Mikel Landajuela,
Chak Shing Lee,
Jiachen Yang,
Ruben Glatt,
Claudio P Santiago,
Ignacio Aravena,
T Nathan Mundhenk,
Garrett Mulcahy,
Daniel M Faissol,
Genetic Programming conference papers by Brenden Kyle Petersen
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Mikel Landajuela and Chak Shing Lee and Jiachen Yang and Ruben Glatt and Claudio P. Santiago and Ignacio Aravena and Terrell Nathan Mundhenk and Garrett Mulcahy and Brenden K. Petersen.
A Unified Framework for Deep Symbolic Regression. In
Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh editors,
Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems, NeurIPS 2022, pages 33985-33998, New Orleans, USA, 2022. Curran Associates, Inc..
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Joanne T. Kim and Mikel Landajuela and Brenden K. Petersen.
Distilling Wikipedia Mathematical Knowledge into Neural Network Models. In
Yuhuai (Tony) Wu and Kshitij Bansal and Wenda Li and Melanie Mitchell and David McAllester and John Harrison editors,
1st Mathematical Reasoning in General Artificial Intelligence Workshop at ICLR 2021, 2021.
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T. Nathan Mundhenk and Mikel Landajuela and Ruben Glatt and Claudio P. Santiago and Daniel M. Faissol and Brenden K. Petersen.
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding. In
Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan editors,
Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS 2021, pages 24912-24923, virtual, 2021.
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Genetic Programming other entries for Brenden Kyle Petersen
