Historical milestone · 2018
DeepProbLog
Reviewed through September 18, 2026
2018 · Historical milestone
DeepProbLog
- Era
- 2010s
- Theme
- AI paradigms & knowledge representation
- Evidence form
- System + benchmark experiments
- School / paradigm
- Neuro-symbolic / probabilistic logic
- Institution / context
- KU Leuven; Ghent University
- Researchers
- Robin Manhaeve; Sebastijan Dumancic; Angelika Kimmig; Thomas Demeester; Luc De Raedt
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Embedded neural predicates in probabilistic logic programs and differentiated through inference for end-to-end learning.
Result / historical claim. Combined learned perception with explicit probabilistic rules on structured tasks.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: AI paradigms and knowledge representation.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. System + benchmark experiments
Limitation / debate. Required a specified program and faced inference and representation-scaling limits.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is AI paradigms and knowledge representation.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.