Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. - Renato Lui Geh; Denis Deratani Mauá (UAI, 2021)

dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning. - Renato Lui Geh; Jonas Gonçalves; Igor Cataneo Silveira; Denis Deratani Mauá; Fábio Gagliardi Cozman (CoRR, 2023)

Where is the signal in tokenization space? - Renato Lui Geh; Honghua Zhang; Kareem Ahmed; Benjie Wang 001; Guy Van den Broeck (EMNLP, 2024)

dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning. - Renato Lui Geh; Jonas Gonçalves; Igor Cataneo Silveira; Denis Deratani Mauá; Fábio G. Cozman (KR, 2024)

Adversarial Tokenization. - Renato Lui Geh; Zilei Shao; Guy Van den Broeck (ACL (1), 2025)