Cláudio P. Santiago

According to our database1, Cláudio P. Santiago authored at least 13 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
A Unified Framework for Deep Symbolic Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding.
CoRR, 2021

Incorporating domain knowledge into neural-guided search.
CoRR, 2021

Improving exploration in policy gradient search: Application to symbolic optimization.
CoRR, 2021

Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Discovering symbolic policies with deep reinforcement learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine.
J. Comput. Biol., 2019

An efficient algorithm for the projection of a point on the intersection of two hyperplanes and a box in \(\mathbb {R}^n\).
EURO J. Comput. Optim., 2019

2018
A new algorithm for the small-field astrometric point-pattern matching problem.
J. Glob. Optim., 2018

Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis.
CoRR, 2018

2016
Physics and optimal routing for urban radiation source search.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

2009
On the nonnegative least squares.
PhD thesis, 2009


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