Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick. - Lennert De Smet; Emanuele Sansone; Pedro Zuidberg Dos Martires (NeurIPS, 2023)

Neural probabilistic logic programming in discrete-continuous domains. - Lennert De Smet; Pedro Zuidberg Dos Martires; Robin Manhaeve; Giuseppe Marra; Angelika Kimmig; Luc De Raedt (UAI, 2023)

EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. - Victor Verreet; Lennert De Smet; Luc De Raedt; Emanuele Sansone (ECAI, 2024)

A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics. - Lennert De Smet; Pedro Zuidberg Dos Martires (NeurIPS, 2024)

A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetic. - Lennert De Smet; Pedro Zuidberg Dos Martires (CoRR, 2024)

Relational Neurosymbolic Markov Models. - Lennert De Smet; Gabriele Venturato; Luc De Raedt; Giuseppe Marra (AAAI, 2025)

Defining neurosymbolic AI. - Lennert De Smet; Luc De Raedt (CoRR, 2025)

The DeepLog Neurosymbolic Machine. - Vincent Derkinderen; Robin Manhaeve; Rik Adriaensen; Lucas Van Praet; Lennert De Smet; Giuseppe Marra; Luc De Raedt (CoRR, 2025)