NSF award 2540120 · University of Iowa

EAGER: Reverse Discrete Time Diffusions: Transforming Generative AI

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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Decide about an extension2 Jun 2027in 227 days
award ending 2027-09-30 · Research.gov
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Extension request16 Aug 2027in 302 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2027in 337 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 30 September 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2028.

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Award card

Award number: 2540120
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $299,997
Awardee: University of Iowa, Iowa City, IA
Program: Information Technology Researc
Directorate: CSE

Abstract

Generative AI using diffusion models has proved to be very effective in creating synthetic images, videos, text, speech and other data. Its impact on recent AI algorithms has been revolutionary. Impressive algorithms have emerged on the Generative AI landscape over the last decade. In these models, synthetic data are progressively refined by the time reversal of certain forward diffusion processes. A key bottleneck…

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