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Symbolic Regression via Neural-Guided Genetic Programming Population Seeding



T. Nathan Mundhenk , Mikel Landajuela , Ruben Glatt , Claudio P. Santiago , Daniel M. Faissol , Brenden K. Petersen

* Accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Incorporating domain knowledge into neural-guided search



Brenden K. Petersen , Claudio P. Santiago , Mikel Landajuela Larma


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Improving exploration in policy gradient search: Application to symbolic optimization



Mikel Landajuela Larma , Brenden K. Petersen , Soo K. Kim , Claudio P. Santiago , Ruben Glatt , T. Nathan Mundhenk , Jacob F. Pettit , Daniel M. Faissol

* 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR 2021 
* Published in 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR 2021 

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Distilling Wikipedia mathematical knowledge into neural network models



Joanne T. Kim , Mikel Landajuela Larma , Brenden K. Petersen

* 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR 2021 
* 6 pages, 4 figures 

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Deep symbolic regression: Recovering mathematical expressions from data via policy gradients



Brenden K. Petersen


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Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis



Brenden K. Petersen , Jiachen Yang , Will S. Grathwohl , Chase Cockrell , Claudio Santiago , Gary An , Daniel M. Faissol


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Modeling sepsis progression using hidden Markov models



Brenden K. Petersen , Michael B. Mayhew , Kalvin O. E. Ogbuefi , John D. Greene , Vincent X. Liu , Priyadip Ray

* Accepted to NIPS ML4H 2017 

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