Project Grant 2133806
- The Massachusetts Institute of Technology (MIT) received a $108,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations to support collaboration research on probabilistic, geometric, and topological analysis of neural networks from theory to applications. The two-year award, issued on January 1, 2022 and set to conclude on December 31, 2024, will fund research under the Mathematical and Physical Sciences program (CFDA #47.049). This...
- 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...
- The Trustees of Princeton University was awarded a $150,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant supports the collaborative research project "Foundations of Deep Learning: Theory, Robustness, and the Brain?" taking place from December 2021 through November 2024 in Princeton, New Jersey. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $331,902 Project Grant to the Trustees of Boston University on August 15, 2023 under the Mathematical and Physical Sciences program (CFDA 47.049). The purpose of this 3-year grant is to develop rigorous mathematical analysis and theory for the training algorithms used in neural network models across various machine learning applications. The research will leverage stochastic analysis and weak convergence theory...
- The National Science Foundation Division of Mathematical Sciences awarded Princeton University a $230,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for the period of July 1, 2021 through June 30, 2024. The grant funds collaborative research on flexible network inference to promote progress in mathematical and physical sciences and strengthen the nation's scientific enterprise. The award supports increasing scientific knowledge and enhancing...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $300,000 Project Grant to Columbia University for research titled "Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain" under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award running from December 2021 through November 2024 will support research into the theoretical foundations of deep learning techniques with a focus on...
- Trustees of Boston College received a $299,860 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on January 1, 2022 for collaborative research titled "Probabilistic, Geometric, and Topological Analysis of Neural Networks, from Theory to Applications." The research is being conducted under the Mathematical and Physical Sciences program (CFDA 47.049) to advance understanding of major problems in these scientific fields and...
- This $1.6 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Pennsylvania from October 2022 through September 2026. The research focuses on developing theoretical tools to build an understanding of why deep neural networks (DNNs) work and when they can fail. Investigators will seek to identify common themes in how artificial and biological systems like the human brain learn. They will...
- The National Science Foundation awarded a $449,998 project grant to Carnegie Mellon University under the Mathematical and Physical Sciences program (CFDA 47.049) to support research titled "COLLABORATIVE RESEARCH: NEW PERSPECTIVES ON DEEP LEARNING: BRIDGING APPROXIMATION, STATISTICAL, AND ALGORITHMIC THEORIES" from November 1, 2021 to October 31, 2024. The grant aims to promote progress in mathematical and physical sciences by increasing scientific knowledge and understanding of...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $250,000 Project Grant to the University of Central Florida (UCF) under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year grant, effective August 1, 2023 through July 31, 2026, supports research to develop extensions and analytical techniques for Generalized Dot Product Graph (GDPG) network models, with a focus on applications in brain science, medical research, molecular biology,...
The National Science Foundation Division of Computing and Communication Foundations awarded a $500,000 Project Grant to Princeton University from January 1, 2022 to December 31, 2024 to support collaborative research on probabilistic, geometric, and topological analysis of neural networks. This award falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to strengthen the Nation's scientific enterprise through advancing knowledge and understanding of major problems. Specifically, Princeton University will leverage the funding to conduct research analyzing neural networks from theoretical and applied perspectives. The research focuses on probabilistic modeling, geometric representations, and topological properties of neural networks to gain insights applicable across scientific domains. Results from this collaborative work are expected to enhance understanding of neural computation and inform future network applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/30/21 |