Follow
Renato Geh
Title
Cited by
Cited by
Year
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
32023
Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging
RL Geh, DD Mauá
Uncertainty in Artificial Intelligence, 2039-2049, 2021
32021
Fast and accurate learning of probabilistic circuits by random projections
R Geh, D Mauá
The 4th Workshop on Tractable Probabilistic Modeling, 2021
22021
Learning probabilistic sentential decision diagrams by sampling
RL Geh, DD Mauá, A Antonucci
Proceedings, 2020
22020
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
22019
Where is the signal in tokenization space?
RL Geh, H Zhang, K Ahmed, B Wang, GV Broeck
arXiv preprint arXiv:2408.08541, 2024
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
The system can't perform the operation now. Try again later.
Articles 1–8