Ruslan Salakhutdinov
E13153
Ruslan Salakhutdinov is a prominent machine learning researcher known for his contributions to deep learning and probabilistic graphical models, and for serving as Director of AI Research at Apple and a professor at Carnegie Mellon University.
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ machine learning researcher ⓘ person ⓘ |
| almaMater | University of Toronto ⓘ |
| citizenship | Canada ⓘ |
| doctoralAdvisor | Geoffrey Hinton ⓘ |
| educatedAt |
University of Toronto
ⓘ
University of Toronto Department of Computer Science ⓘ |
| employer |
Apple Inc.
ⓘ
CMU ⓘ
surface form:
Carnegie Mellon University
|
| fieldOfWork |
Bayesian methods
ⓘ
artificial intelligence ⓘ deep learning ⓘ machine learning ⓘ probabilistic graphical models ⓘ representation learning ⓘ |
| hasAcademicRank | Professor ⓘ |
| hasResearchInterest |
Bayesian nonparametrics
ⓘ
deep generative models for images ⓘ deep generative models for text ⓘ information retrieval ⓘ large-scale learning ⓘ multimodal learning ⓘ neural networks ⓘ probabilistic modeling ⓘ recommender systems ⓘ semi-supervised learning ⓘ unsupervised learning ⓘ |
| knownFor |
Bayesian learning algorithms
ⓘ
deep belief networks ⓘ deep generative models ⓘ deep learning ⓘ probabilistic graphical models ⓘ representation learning for high-dimensional data ⓘ Boltzmann machines ⓘ
surface form:
restricted Boltzmann machines
topic models ⓘ |
| memberOf | Machine learning research community ⓘ |
| nationality | Canadian ⓘ |
| notableStudentOf | Geoffrey Hinton ⓘ |
| positionHeld |
Associate Professor at Carnegie Mellon University
ⓘ
Canada CIFAR AI Chair ⓘ
surface form:
Canada CIFAR AI Chair (Vector Institute)
Director of AI Research at Apple ⓘ Director of Artificial Intelligence Research at Apple ⓘ Professor at Carnegie Mellon University ⓘ |
| workLocation |
Pittsburgh, Pennsylvania
ⓘ
surface form:
Pittsburgh
Toronto ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.