NSF award 2504555 · University of Illinois at Urbana-Champaign

III: Small: Neural Probabilistic Circuits: Towards Compositional and Interpretable Neuro-Symbolic AI

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · 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 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2504555
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $500,000
Awardee: University of Illinois at Urbana-Champaign, Urbana, IL
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Despite the superior performance achieved by end-to-end deep neural networks, many of them are black-box models composed of complex operators with massive number of parameters, making it hard to interpret and understand how a decision is made. Existing methods often provide post-hoc explanations to explain the black-box model, but they are not reliable as the explanation model used to elucidate the black-box model…

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