Kexin Gu Baugh
Scholar

Kexin Gu Baugh

Google Scholar ID: FR0yYDkAAAAJ
Imperial College London
neuro-symbolic learningai
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Citations & Impact
All-time
Citations
14
 
H-index
2
 
i10-index
1
 
Publications
3
 
Co-authors
0
 
Contact
Emailkexin.gu17@imperial.ac.ukCVOpen ↗GitHubOpen ↗
Publications
2 items
Disentangling Neural Disjunctive Normal Form Models
2025
Cited
0
Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
2025
Cited
0
Resume (English only)
Background
  • Machine Learning Engineer at Cisco ThousandEyes, working in the Endpoint Agent Team
  • Part-time PhD student at Imperial College London
  • Research area: neuro-symbolic learning
  • Interested in classical logic and pure symbolic learning
  • Member of the SPIKE research group
Co-authors
0 total
Co-authors: 0 (list not available)