Derkinderen, Vincent

10 publications

IJCAI 2025 Circuit-Aware D-DNNF Compilation Vincent Derkinderen, Jean-Marie Lagniez

ICLR 2025 KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires

NeurIPS 2025 Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen, William Yeoh

ECML-PKDD 2025 Queryable and Interpretable PU Learning Through Probabilistic Circuits Sieben Bocklandt, Vincent Derkinderen, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers, Luc De Raedt, Wannes Meert

AAAI 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt

ICML 2024 On the Hardness of Probabilistic Neurosymbolic Learning Jaron Maene, Vincent Derkinderen, Luc De Raedt

AAAI 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt

AAAI 2021 Symmetric Component Caching for Model Counting on Combinatorial Instances Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel

UAI 2020 Ordering Variables for Weighted Model Integration Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc Raedt

NeurIPSW 2019 Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning Pedro Zuidberg Dos Martires, Vincent Derkinderen, Robin Manhaeve, Wannes Meert, Angelika Kimmig, Luc De Raedt