Greg Yang
E18820
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
→
mathematician → |
| collaboratesWith |
researchers at xAI
→
|
| countryOfCitizenship |
United States of America
→
|
| employer |
xAI
→
|
| fieldOfWork |
artificial intelligence
→
deep learning → mathematics → theoretical computer science → |
| hasGivenTalkAt |
Google Research
→
Harvard University → ICLR → MIT → Meta AI → Microsoft Research → NVIDIA → NeurIPS → OpenAI → Princeton University → Stanford University → xAI → |
| hasRole |
theorist at xAI
→
|
| knownFor |
theoretical foundations of deep learning
→
|
| notableConcept |
feature learning in the infinite-width limit
→
infinite-width neural networks → neural network scaling laws → tensor programs framework → |
| position |
research scientist at xAI
→
|
| researchInterest |
generalization in deep learning
→
large language models → mathematical theory of deep learning → optimization in deep neural networks → scaling laws for large language models → transformer architectures → |
Referenced by (1)
| Subject (surface form when different) | Predicate |
|---|---|
|
xAI
→
|
hasTeamMember |