Thesis
Deep learning with hard logical constraints
- Abstract:
-
Deep learning is becoming increasingly ubiquitous and thanks to its successes, it is likely to be applied in almost every aspect of our lives in the next few years. Its success stories however overshadow the dangers that come with its careless application in the real world. Indeed, even if deep learning models report astonishingly high-performance in terms of accuracy (or any other chosen metric), they do not give any guarantees that the model will not have any unintended behaviour when us...
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Authors
Contributors
+ Lukasiewicz, T
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Role:
- Supervisor
- ORCID:
- 0000-0002-7644-1668
+ Cuenca Grau, B
- Role:
- Examiner
+ d'Avila Garcez, A
- Role:
- Examiner
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Grant:
- EP/N509711/1
- EP/N509711/1
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2022-10-08
Terms of use
- Copyright holder:
- Giunchiglia, E
- Copyright date:
- 2022
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