Aaron Courville
E28350
Aaron Courville is a machine learning researcher and professor best known as a co-author of the influential deep learning textbook alongside Yoshua Bengio and Ian Goodfellow.
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
academic
→
computer scientist → machine learning researcher → person → |
| academicDiscipline |
computer science
→
statistics → |
| affiliation |
MILA – Quebec AI Institute
→
|
| basedIn |
Montreal
→
|
| coAuthorOf |
Deep Learning (MIT Press, 2016)
→
|
| coAuthorWith |
Ian Goodfellow
→
Yoshua Bengio → |
| contributedTo |
foundational methods in deep learning
→
theoretical understanding of deep neural networks → |
| countryOfCitizenship |
Canada
→
|
| doctoralStudentOf |
Yoshua Bengio
→
|
| employer |
Université de Montréal
→
|
| fieldOfWork |
artificial intelligence
→
deep learning → machine learning → |
| genreOfWriting |
scientific textbook
→
|
| hasAcademicAdvisor |
Yoshua Bengio
→
|
| hasRole |
graduate advisor
→
research scientist → |
| knownFor |
deep learning textbook
→
|
| languageOfWorkOrName |
English
→
French → |
| memberOf |
MILA – Quebec AI Institute
→
|
| notableFor |
helping popularize deep learning through education
→
|
| notableWork |
Deep Learning (Goodfellow, Bengio, Courville)
→
|
| occupation |
professor
→
|
| publisherOfNotableWork |
MIT Press
→
|
| researchInterest |
generative models
→
probabilistic models → representation learning → unsupervised learning → |
| teaches |
deep learning
→
machine learning → |
| workInstitution |
Université de Montréal
→
|
| worksOn |
neural networks
→
probabilistic modeling in deep learning → representation learning algorithms → |
Referenced by (5)
| Subject (surface form when different) | Predicate |
|---|---|
|
Deep Learning (book)
→
Deep Learning (book) → |
author |
|
Ian Goodfellow
→
Yoshua Bengio → |
coAuthorWith |
|
ICLR
→
|
coFounder |