Renato Lui Geh

I am a Computer Science PhD student at the University of California, Los Angeles. I'm fortunate to be advised by Prof. Guy Van den Broeck and be a part of StarAI Lab.

I'm interested in the intersection between probabilistic machine learning and symbolic reasoning. Some specific interests of mine include (but are not limited to): tractable probabilistic models, logic and probabilistic circuits, knowledge representation and compilation, logic and probabilistic programming (and their intersection), weighted model counting and weighted model integration, and probabilistic graphical models.

Previously, I received my MSc and BSc in Computer Science under the supervision of Prof. Denis Deratani Mauá at the University of São Paulo in my home country Brazil 🇧🇷.

You can reach me at renatolg@cs.cs.ucla.ucla.edu.

Publications

• Ana Y. F. de Lima, Briza M. D. de Sousa, Daniel P. Cardeal, Jessica Y. N. Sato, Lorenzo B. Salvador, Renato L. Geh, Bruna Bazaluk. "LUNCH: an Answer Set Programming System for Course Scheduling". 2023. Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2023). Ed. 20. [doi]
• Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fabio Gagliardi Cozman. "A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning". 2023. Knowledge and Logical Reasoning in the Era of Data-driven Learning Workshop. [talk] [slides] [poster]
• Renato Lui Geh. "Scalable Learning of Probabilistic Circuits". Advisor: Denis D. Mauá. 2022. Dissertation for the degree of Master of Science in Computer Science. [slides]
  Won best MSc in AI at CTDIAC@BRACIS 2022!
  Won best MSc in Computing at CTD@CSBC 2023!
• Renato L. Geh, Denis D. Mauá. "Fast And Accurate Learning of Probabilistic Circuits by Random Projections". 2021. Tractable Probabilistic Modeling Workshop (TPM 2021). Ed. 4. [talk] [slides] [poster]
• Renato L. Geh, Denis D. Mauá. Learning Probabilistic Sentential Decision Diagrams Under Logic Constraints by Sampling and Averaging". 2021. Uncertainty in Artificial Intelligence (UAI 2021). Ed. 37. [pmlr] [talk] [slides] [poster]
• Renato Geh, Denis Mauá, Alessandro Antonucci. "Learning Probabilistic Sentential Decision Diagrams by Sampling". 2020. Symposium on Knowledge Discovery, Mining and Learning (KDMILE 2020). Ed. 8. [doi] [talk] [slides]
• Renato L. Geh, Denis D. Mauá. "End-To-End Imitation Learning of Lane Following Policies Using Sum-Product Networks". 2019. Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019). Ed. 15. [doi] [poster]