Karén Simonyan
E744613
Karén Simonyan is a computer scientist and AI researcher best known as a co-founder of Inflection AI and for his influential work in deep learning and computer vision.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Karén Simonyan canonical | 3 |
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ deep learning researcher ⓘ entrepreneur ⓘ |
| basedIn | United Kingdom ⓘ |
| coFounded | Inflection AI NERFINISHED ⓘ |
| educatedAt | University of Oxford ⓘ |
| employer | Google DeepMind NERFINISHED ⓘ |
| fieldOfStudy | computer science ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computer vision ⓘ deep learning ⓘ image recognition ⓘ machine learning ⓘ |
| hasAcademicAdvisor | Andrew Zisserman NERFINISHED ⓘ |
| hasCitizenship | United Kingdom NERFINISHED ⓘ |
| hasEmployer | Inflection AI NERFINISHED ⓘ |
| hasGivenTalkAt | major machine learning conferences ⓘ |
| hasHIndex | high citation impact in deep learning research ⓘ |
| influenced |
development of very deep CNN architectures
ⓘ
subsequent image recognition benchmarks ⓘ |
| knownFor |
VGG network architecture
NERFINISHED
ⓘ
VGGNet paper "Very Deep Convolutional Networks for Large-Scale Image Recognition" NERFINISHED ⓘ co-founding Inflection AI ⓘ research in computer vision ⓘ research in deep learning ⓘ work on deep convolutional neural networks for image recognition ⓘ |
| languageSpoken |
Armenian
ⓘ
English ⓘ Russian ⓘ |
| nationality | British ⓘ |
| notablePublicationVenue |
Conference on Computer Vision and Pattern Recognition
NERFINISHED
ⓘ
International Conference on Learning Representations NERFINISHED ⓘ arXiv NERFINISHED ⓘ |
| notableWork |
"Very Deep Convolutional Networks for Large-Scale Image Recognition"
NERFINISHED
ⓘ
VGG convolutional neural network models NERFINISHED ⓘ |
| occupation |
computer scientist
ⓘ
research scientist ⓘ |
| origin | Armenia NERFINISHED ⓘ |
| positionHeld | co-founder of Inflection AI ⓘ |
| researchArea |
convolutional neural networks
ⓘ
large-scale image classification ⓘ representation learning ⓘ |
| workedAt | Google DeepMind NERFINISHED ⓘ |
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.