DeepProbLog: neural probabilistic logic programming
- Submitting institution
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Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96931587
- Type
- E - Conference contribution
- DOI
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-
- Title of conference / published proceedings
- 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
- First page
- 3753
- Volume
- 0
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- December
- Year of publication
- 2018
- URL
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https://dl.acm.org/doi/10.5555/3327144.3327291
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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A - Artificial intelligence and data analytics
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is significant in integrating deep learning, logical reasoning and probability theory into a single framework that, in contrast to existing approaches, maintains neural networks, logical reasoning, and probabilistic programming as special cases, thus combining complementary strengths that are central to AI. It was accepted as spotlight (top 4% of 4856 submissions, top 20% of accepted papers) at NeurIPS 2018.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -