Renato Geh
Scholar

Renato Geh

Google Scholar ID: AHlB-3cAAAAJ
University of California, Los Angeles
neurosymbolicprobabilistic reasoningprobabilistic circuitsprobabilistic programming
Citations & Impact
All-time
Citations
22
 
H-index
3
 
i10-index
0
 
Publications
10
 
Co-authors
9
list available
Publications
1 items
Resume (English only)
Background
  • PhD student in Computer Science at the University of California, Los Angeles (UCLA)
  • Member of the StarAI Lab, advised by Prof. Guy Van den Broeck
  • Research interests lie at the intersection of probabilistic machine learning and symbolic reasoning
  • Specific topics include: tractable probabilistic models, logic and probabilistic circuits, knowledge representation and compilation, logic and probabilistic programming (and their intersection), weighted model counting, weighted model integration, and probabilistic graphical models
  • Overall research goal: studying combinatorial problems in a probabilistic setting