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2020 – today
- 2024
[j2]Vincent Derkinderen
, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt:
Semirings for probabilistic and neuro-symbolic logic programming. Int. J. Approx. Reason. 171: 109130 (2024)- [c6]Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt:
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. AAAI 2024: 20567-20576 - [c5]Jaron Maene, Vincent Derkinderen, Luc De Raedt:
On the Hardness of Probabilistic Neurosymbolic Learning. ICML 2024 - [i4]Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt:
Semirings for Probabilistic and Neuro-Symbolic Logic Programming. CoRR abs/2402.13782 (2024) - [i3]Jaron Maene, Vincent Derkinderen, Luc De Raedt:
On the Hardness of Probabilistic Neurosymbolic Learning. CoRR abs/2406.04472 (2024) - [i2]Vincent Derkinderen:
Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness. CoRR abs/2407.17951 (2024) - 2023
- [j1]Vincent Derkinderen, Jessa Bekker, Pieter Smet:
Optimizing workforce allocation under uncertain activity duration. Comput. Ind. Eng. 179: 109228 (2023) - [i1]Vincent Derkinderen, Pedro Zuidberg Dos Martires, Samuel Kolb, Paolo Morettin:
Top-Down Knowledge Compilation for Counting Modulo Theories. CoRR abs/2306.04541 (2023) - 2022
- [c4]Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt:
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. AAAI 2022: 10060-10069 - 2021
- [c3]Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel:
Symmetric Component Caching for Model Counting on Combinatorial Instances. AAAI 2021: 3922-3930 - 2020
- [c2]Vincent Derkinderen, Luc De Raedt:
Algebraic Circuits for Decision Theoretic Inference and Learning. ECAI 2020: 2569-2576 - [c1]Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt:
Ordering Variables for Weighted Model Integration. UAI 2020: 879-888
Coauthor Index
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