Lennert De Smet

202320241 4

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Pedro Zuidberg Dos MartiresÖrebro UniversityVerified email at oru.se
Robin ManhaeveDTAI, KU LeuvenVerified email at cs.kuleuven.be
Giuseppe MarraKU LeuvenVerified email at kuleuven.be
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
Emanuele SansoneKU LeuvenVerified email at kuleuven.be
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Jessa BekkerKU LeuvenVerified email at cs.kuleuven.be
Pieter DelobellePostdoctoral Researcher, KU Leuven | ex MLR, AppleVerified email at apple.com

Lennert De Smet

Verified email at kuleuven.be


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	5	2023
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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