8 citations · 13 across the 3 of their papers we have counts for
3 papers
Semirings for Probabilistic and Neuro-Symbolic Logic Programming
Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires +1
The field of probabilistic logic programming (PLP) focuses on integrating probabilistic models into programming languages based on logic. Over the past 30 years, numerous languages…
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
Emanuele Sansone, Robin Manhaeve
We introduce GEDI, a Bayesian framework that combines existing self-supervised learning objectives with likelihood-based generative models. This framework leverages the benefits of…
Neural Probabilistic Logic Programming in Discrete-Continuous Domains
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve +3
Neural-symbolic AI (NeSy) allows neural networks to exploit symbolic background knowledge in the form of logic. It has been shown to aid learning in the limited data regime and to…