Renato Geh

20212022202320241 1 7 4

Denis Deratani MauáProfessor, Dept. of Computer Science, Institute of Mathematics and Statistics, Universidade de SãoVerified email at usp.br
Fabio Gagliardi CozmanUniversidade de Sao PauloVerified email at usp.br
Igor Cataneo SilveiraUniversidade de São PauloVerified email at ime.usp.br
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAVerified email at idsia.ch
Guy Van den BroeckProfessor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
Honghua ZhangUniversity of California, Los AngelesVerified email at cs.ucla.edu
Benjie WangUniversity of California, Los AngelesVerified email at ucla.edu
Kareem AhmedCS PhD Student at UCLAVerified email at cs.ucla.edu
Bruna BazalukUniversity of Sao PauloVerified email at ime.usp.br

Renato Geh

Verified email at cs.ucla.edu - Homepage


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dPASP: A comprehensive differentiable probabilistic answer set programming environment for neurosymbolic learning and reasoning RL Geh, J Gonçalves, IC Silveira, DD Mauá, FG Cozman arXiv preprint arXiv:2308.02944, 2023	3	2023
Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging RL Geh, DD Mauá Uncertainty in Artificial Intelligence, 2039-2049, 2021	3	2021
Fast and accurate learning of probabilistic circuits by random projections R Geh, D Mauá The 4th Workshop on Tractable Probabilistic Modeling, 2021	2	2021
Learning probabilistic sentential decision diagrams by sampling RL Geh, DD Mauá, A Antonucci Proceedings, 2020	2	2020
End-to-end imitation learning of lane following policies using sum-product networks R Geh, D Mauá Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional …, 2019	2	2019
Where is the signal in tokenization space? RL Geh, H Zhang, K Ahmed, B Wang, GV Broeck arXiv preprint arXiv:2408.08541, 2024	1	2024
LUNCH: an Answer Set Programming System for Course Scheduling AYF de Lima, BMD de Sousa, DP Cardeal, JYN Sato, LB Salvador, ... Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 954-968, 2023		2023
Scalable learning of probabilistic circuits RL Geh, DD Mauá Anais, 2023		2023

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