Project Grant 2611550
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of California Irvine $548,422 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop approximate Bayesian inference methods for diffusion posteriors. The research creates posterior sampling methods that integrate pretrained diffusion models with observed data, making generative artificial intelligence systems more reliable for...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Wisconsin–Madison $334,942 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a unified theory of information-computation tradeoffs for statistical tasks. The research establishes lower bounds in restricted computational models including low-degree polynomials, statistical queries, polynomial threshold functions, and the...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Wisconsin–Madison $250,000 on July 1, 2026, for statistical research on reliable estimation, prediction, and causal inference with AI-generated synthetic datasets under the Mathematical and Physical Sciences program (CFDA 47.049). The project develops statistical foundations and a unified theory for integrating multiple heterogeneous AI-generated synthetic datasets into scientific analysis while...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Wisconsin - Madison $774,847 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop offline policy evaluation methods that predict AI agent performance before deployment. The project addresses the need to evaluate autonomous system decision-making in high-stakes domains—autonomous driving, intelligent assistants, and software...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Wisconsin–Madison $352,098 on January 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods ensuring deep-learning models for computational imaging remain robust and accurate when data conditions shift between training and test environments. The research addresses a critical gap in current computational imaging systems, which...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Wisconsin - Madison $249,999 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop graph-centric multi-agent systems powered by large language models. The project develops new graph-based methods for designing, executing, and adapting multi-agent artificial intelligence systems in which multiple agents communicate and collaborate...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Wisconsin–Madison $180,000 on July 15, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop fast, flexible, and accurate covariance models for Gaussian processes in machine learning and artificial intelligence applications. The project addresses computational and methodological challenges in scaling Gaussian process models to large, high-resolution datasets by exploiting...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Wisconsin - Madison $179,999 on July 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop mathematical theories for machine learning algorithms that balance statistical accuracy, privacy guarantees, and computational scalability in high-dimensional settings. The project investigates fundamental trade-offs between accuracy, privacy, and computational efficiency in AI...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Wisconsin–Madison $309,038 on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a unified mathematical framework connecting random matrices with prescribed margins, Schrödinger bridges, and optimal transport theory, with applications to generative AI for multimodal data. The project addresses the problem of inferring missing structure in systems where...
- The National Science Foundation Directorate for Mathematical and Physical Sciences awarded $250,000 to the University of Wisconsin – Madison on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop high-fidelity generative mean flow models that advance scientific machine learning through a theory-validation feedback loop. The project addresses critical limitations in applying generative AI to physical simulations by building a new class of AI models...
The National Science Foundation Division of Computing and Communication Foundations awarded the University of Wisconsin - Madison $451,577 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop approximate Bayesian inference methods for diffusion posteriors in generative artificial intelligence. The project addresses a gap in current generative models used for scientific applications: while these models can produce realistic outputs, they often fail to remain faithful to observational data, respect scientific constraints, and quantify uncertainty. The work creates posterior sampling methods using unbiased gradient estimators and develops techniques to make generative models more trustworthy for applications including medical imaging, weather forecasting, satellite image analysis, biology, and chemistry. The project will release software, models, and benchmarks for public use and support education through summer schools, workshops, student research opportunities, industry engagement, and citizen science activities. Performance occurs at the University of Wisconsin - Madison in Madison, Wisconsin, with work running through July 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $451.6k | 7/28/26 |