Project Grant 2501597
- This federal Project Grant award, worth $266,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to The Leland Stanford Junior University (Stanford University) for the project "COLLABORATIVE RESEARCH: III: MEDIUM: ADVANCING LARGE LANGUAGE MODEL UNLEARNING: FOUNDATIONS AND APPLICATIONS." The project aims to establish a comprehensive foundation for unlearning harmful data and behaviors...
- This $425,875 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program. The award was granted to The Leland Stanford Junior University (Stanford University) to develop new computational and statistical methods to analyze high-dimensional neural recording and behavioral video data. The goal is to better understand how the brain produces natural behavior by linking brain activity to...
- This federal Project Grant award of $322,400.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program was provided to The Leland Stanford Junior University (Stanford University) to develop artificial intelligence (AI) systems capable of accelerating mathematical research and theorem proving. The goal is to create the first AI system able to prove graduate-level mathematical theorems and tackle unsolved problems that challenge...
- The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research and education activities to develop conceptual and mathematical understanding of large language models. Specifically, the university will conduct research analyzing simplified generative text models and language models trained on such data to gain insights into their inner...
- This $218,771 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop new theoretical tools to enhance flow-based generative artificial intelligence (AI) models. The research aims to elucidate how these models, including diffusion models, produce novel outputs and extend their capabilities to handle complex data types beyond the Euclidean setting, such as graphs and point clouds. The project,...
- The National Science Foundation (NSF) awarded a $225,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Leland Stanford Junior University. The 3-year grant, effective July 1, 2024, aims to gain a deeper theoretical understanding of the statistical properties of neural networks, which have revolutionized science and engineering. Key research directions include studying the distinguishing features of deep neural networks compared to classical statistical...
- This $400,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support research at The Leland Stanford Junior University (Stanford University) from October 1, 2024 to September 30, 2027. The goal of the project is to develop innovative computational methods that integrate classical and quantum algorithmic tools within the fields of statistics and operations research. The research will focus on applications...
- This $300,000 Project Grant was awarded on September 1, 2025 by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research at Carnegie Mellon University to develop mathematically sound approaches for sampling and generative modeling in high-dimensional problems, which is critical for advancing machine learning and artificial intelligence (AI) techniques. The research aims to create efficient sampling methods with rigorous...
- This federal Project Grant award of $100,000.00, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports research on advanced probabilistic models and their application to cutting-edge machine learning techniques. The research aims to bring mathematical rigor and develop new methods related to complex systems in areas such as image processing, reinforcement learning, and generative AI. Key focus areas include: 1) extracting...
- This federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program provides $594,753 to Cornell University to develop new methods for controlling generative artificial intelligence (AI) systems that produce text and images. The research aims to improve the reliability and safety of these AI technologies, especially in sensitive applications like healthcare, customer service, and education. The project will...
This Project Grant award of $450,000 was granted by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award was made to The Leland Stanford Junior University (Stanford University) to fund a research project titled "COMPUTATIONAL AND STATISTICAL LIMITS IN GENERATIVE SAMPLING." The primary goals of this project are: 1) To determine the fundamental computational and statistical limitations of generative artificial intelligence (AI) methods, addressing what classes of outputs (probability distributions) can and cannot be generated by these methods; and 2) To design algorithms to accelerate the generation process. The research will focus on denoising diffusions, their generalization via stochastic localization, and related approaches, aiming to understand the scope and limitations of these methods as dictated by properties of the target probability distribution. The project will also involve training activities through the involvement of undergraduate and graduate students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $450.0k | 7/28/25 |