Omar Costilla Reyes’s scientific contributions

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Publications (1)


Neurosymbolic Programming for Science
  • Article

October 2022

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12 Reads

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6 Citations

Jennifer J Sun

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Megan Tjandrasuwita

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Atharva Sehgal

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Omar Costilla Reyes

Neurosymbolic Programming (NP) techniques have the potential to accelerate scientific discovery across fields. These models combine neural and symbolic components to learn complex patterns and representations from data, using high-level concepts or known constraints. As a result, NP techniques can interface with symbolic domain knowledge from scientists, such as prior knowledge and experimental context, to produce interpretable outputs. Here, we identify opportunities and challenges between current NP models and scientific workflows, with real-world examples from behavior analysis in science. We define concrete next steps to move the NP for science field forward, to enable its use broadly for workflows across the natural and social sciences.

Citations (1)


... This approach eliminates the necessity for Fig. 1. Neuro-symbolic AI. [17]. feature importance analysis, which provide insights into the model's behavior after it has made predictions [15]. ...

Reference:

Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI
Neurosymbolic Programming for Science
  • Citing Article
  • October 2022