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Bengio Causal AI Research Papers (arXiv Search)
paperCredibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: arXiv
This arXiv search aggregates Bengio's causal AI papers; useful as a starting point for exploring causal reasoning research with AI safety implications, but not a primary source itself.
Metadata
Importance: 35/100otherreference
Summary
This is an arXiv search results page aggregating research papers by Yoshua Bengio and collaborators on causal AI, including work on causal representation learning, causal induction, and connections between causality and machine learning. The search surfaces a body of work exploring how causal reasoning can improve AI robustness, generalization, and alignment with human values.
Key Points
- •Aggregates Bengio-affiliated research on causal AI, including causal representation learning and causal inductive biases in deep learning.
- •Causal AI research explores how models can learn cause-effect relationships rather than spurious correlations, improving robustness and generalization.
- •Bengio's causal AI work has implications for AI safety, as causally-aware models may be more predictable and less prone to distributional shift failures.
- •Research intersects with alignment concerns around building AI systems that reason about interventions and counterfactuals, not just pattern matching.
- •This search page is a dynamic index rather than a single paper, so content and relevance will vary by query results.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Yoshua Bengio | Person | 39.0 |
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Search | arXiv e-print repository Search Search v0.5.6 released 2020-02-24 Search term or terms Field All fields Title Author(s) Abstract Comments Journal reference ACM classification MSC classification Report number arXiv identifier DOI ORCID License (URI) arXiv author ID Help pages Full text Search Show abstracts Hide abstracts Advanced Search Searching by Author Name Using the Author(s) field produces best results for author name searches. For the most precise name search, follow surname(s), forename(s) or surname(s), initial(s) pattern: example Hawking, S or Hawking, Stephen For best results on multiple author names, separate individuals with a ; (semicolon). Example: Jin, D S; Ye, J Author names enclosed in quotes will return only exact matches . For example, "Stephen Hawking" will not return matches for Stephen W. Hawking. Diacritic character variants are automatically searched in the Author(s) field. Queries with no punctuation will treat each term independently. Searching by subcategory To search within a subcategory select All fields . A subcategory search can be combined with an author or keyword search by clicking on add another term in advanced search. Tips Wildcards: Use ? to replace a single character or * to replace any number of characters. Can be used in any field, but not in the first character position. See Journal References tips for exceptions. Expressions: TeX expressions can be searched, enclosed in single $ characters. Phrases: Enclose phrases in double quotes for exact matches in title, abstract, and comments. Dates: Sorting by announcement date will use the year and month the original version (v1) of the paper was announced. Sorting by submission date will use the year, month and day the latest version of the paper was submitted. Journal References: If a journal reference search contains a wildcard, matches will be made using wildcard matching as expected. For example, math* will match math , maths , mathematics . If a journal reference search does not contain a wildcard, only exact phrases entered will be matched. For example, math would match math or math and science but not maths or mathematics . All journal reference searches that do not contain a wildcard are literal searches: a search for Physica A will match all papers with journal references containing Physica A , but a search for Physica A, 245 (1997) 181 will only return the paper with journal reference Physica A, 245 (1997) 181 . Search v0.5.6 released 2020-02-24
Resource ID:
80e9f9739caa8d81 | Stable ID: sid_OD92ogBQLf