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Andrej Risteski
Carnegie Mellon University
$1,583,298
Attributed
$2,147,260
Total exposure
3
Grants
2
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $1.1M · FY2022–24$2M$1.5M$1M$500K$0
'22
'23
'24
Funding mix
By agency
NSF$2,147,260 · 3
By mechanism
—$2,147,260 · 3
Top collaborators
- Pradeep K Ravikumar1 shared
Grant awards (3)
Collaborative Research: RI: Medium: Machine learning for PDEs, and with PDEs$600,000
· FY2024 · CSE · contact PI
CAREER: Theoretical Foundations of Modern Machine Learning Paradigms: Generative and Out-of-Distribution$419,335
· FY2023 · CSE · contact PI
RI: Medium: Foundations of Self-Supervised Learning Through the Lens of Probabilistic Generative Models$1,127,925
· FY2022 · CSE