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Lennert De Smet
Lennert De Smet
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Neural probabilistic logic programming in discrete-continuous domains
L De Smet, PZ Dos Martires, R Manhaeve, G Marra, A Kimmig, ...
Uncertainty in Artificial Intelligence, 529-538, 2023
52023
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
L De Smet, E Sansone, P Zuidberg Dos Martires
Advances in Neural Information Processing Systems 36, 2024
2024
EXPLAIN, AGREE and LEARN: A Recipe for Scalable Neural-Symbolic Learning
V Verreet, L De Smet, L De Raedt, E Sansone
2023
Tensorised Probabilistic Inference for Neural Probabilistic Logic Programming
L De Smet, R Manhaeve, G Marra, PZ Dos Martires
The 5th Workshop on Tractable Probabilistic Modeling, 2022
2022
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick: Supplementary Material
L De Smet, E Sansone, PZ Dos Martires
Inferring Missing CV Skills using PU Learning and Variational Inference
V Verreet, L De Smet, R Manhaeve, P Delobelle, J Bekker
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Artikelen 1–6