Project Grant 2515510
- This $175,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of a unified generative prediction and inference framework using diffusion processes, normalizing flows, and transfer learning to model joint distributions of tabular and unstructured data. The key products and services delivered under this award include: Algorithms for domain adaptation, reliability metrics for trustworthy AI,...
- This $155,372 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will fund research to develop advanced statistical methods for extracting insights from high-dimensional, high-frequency "big data." The University of Illinois, Chicago, as the prime awardee, will focus on four key areas: 1) advancing contiguity theory to enable more robust statistical analysis of noisy, high-frequency data; 2) exploring time-varying...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois. The 3-year grant, effective October 1, 2023, will fund research on reconstruction of diffusion history in cyber and human networks, with applications in epidemiology and cybersecurity. The research aims to develop fundamental theories and efficient, data-driven algorithms for identifying diffusion processes that best...
- This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research by the University of Illinois to develop a theoretical control framework for understanding and improving diffusion-based generative machine learning models. The project aims to establish connections between generative modeling, optimal control theory, and partial/stochastic differential equations. Key technical objectives include enhancing...
- The National Science Foundation Division of Physics awarded a $483,640 project grant to the University of Illinois to support research on "DIFFUSION DYNAMICS IN DISORDERED QUANTUM LATTICES GASES" from September 1, 2021 through August 31, 2024. This project grant funding will support research examining diffusion dynamics in disordered quantum lattice gases under the NSF's Mathematical and Physical Sciences program (CFDA 47.049). The goal of this program is to promote progress in the...
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program aims to address theoretical challenges in high-dimensional probability, with a focus on applications in data science. The $239,966 award, made on July 15, 2025, will support research to develop rigorous mathematical frameworks for understanding the authenticity and privacy of synthetic data, as well as advancing non-spectral random matrix theory....
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award for $174,999 supports research on trustworthy diffusion models, a type of large generative artificial intelligence (AI) model. The key objectives are to improve the privacy, fairness, and explainability of these AI models, which are critical for their safe and ethical deployment in areas like healthcare, media, law, and education. The project involves implementing differential...
- This federal Project Grant award, totaling $256,260, was made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Program (CFDA 47.070). The award, titled "CAREER: An Algorithmic Theory of Diffusion Models," is led by President and Fellows of Harvard College and aims to forge new connections between distribution learning and diffusion models, which are critical to the recent revolution in generative artificial intelligence (AI)....
- This $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program supports research on branching processes, partial differential equations, and their applications to knowledge diffusion and dynamics in heterogeneous and random environments. The research aims to advance theoretical and practical understanding of modeling systems influenced by randomness and heterogeneity, with applications spanning the physical...
- This $155,000 project grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) will develop new simulation-based inference (SBI) methods. These innovations aim to empower scientists to make better use of complex models across diverse domains such as genetics, ecology, biology, economics, and psychology, supporting more scalable, efficient, and reliable decision-making. The project will address two core challenges...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) provides $118,132 to the University of Illinois to conduct research on statistical aspects of diffusion models, an emerging class of generative modeling techniques. The research project aims to (1) determine the statistical limits of diffusion models, (2) optimize the query complexity for sampling in diffusion models, and (3) understand the trade-off between accuracy and differential privacy in diffusion models. The award term is from August 15, 2025 to July 31, 2028. The research is expected to advance the understanding of diffusion-based generative models and inform how they can be improved in terms of generation quality, computational efficiency, and user privacy preservation. The project also provides research topics for training undergraduate and graduate students in modern statistical and machine learning techniques.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $118.1k | 7/31/25 |