Project Grant 2134235
- The University of California, Santa Barbara will receive $334,786 from the National Science Foundation under a Project Grant award titled "COLLABORATIVE RESEARCH: A UNIFYING DEEP LEARNING FRAMEWORK USING CELL COMPLEX NEURAL NETWORKS." The funding period is from December 1, 2021 to November 30, 2024. The grant will support research into developing a unified deep learning framework using cell complex neural networks. This work aligns with the goals of the National Science Foundation's...
- The University of Texas at San Antonio received a two-year, $622,955 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will support research titled "Collaborative Research: Algebraic Framework of Compositional Functions for New Structure, Training, and Explainability of Deep Learning." The research aims to develop new techniques for deep learning model...
- The University of California Santa Cruz will receive $220,000 in funding from the National Science Foundation under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for the project "GENERAL CORRELATED COUNT STATISTICAL STRUCTURES" from July 1, 2021 to June 30, 2024. This Project Grant aims to promote progress in the mathematical and physical sciences by increasing scientific knowledge and enhancing understanding of major problems through statistical analysis...
- The University of California, San Diego (UCSD) was awarded a $455,058 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 4-year project, which started on July 1, 2024, focuses on developing techniques for a mathematical understanding of deep learning and its application to a variety of neural network models and data sets. The key objectives are to: 1) compare different networks and understand...
- 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 University of Southern California (USC) received a $302,342 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to conduct collaborative research on developing techniques for mathematically understanding deep learning models and their performance on given tasks and data. The project aims to analyze neural network behavior based on how the models convert inputs to outputs, with the goal of enabling...
- This Project Grant award of $234,329 from the National Science Foundation (NSF)'s Mathematical and Physical Sciences program (CFDA 47.049) supports research and education activities at the University of California, Santa Cruz (UCSC). The key objectives of the research component are to advance the theory of combinatorial subvarieties of the flag variety, propose a notion of duality for Newton-Okounkov bodies, and study applications of generalized permutahedra to machine learning. The...
- The University of California Santa Cruz received a three-year $296,069 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The grant will support research titled "COLLABORATIVE RESEARCH: LEARNING AND DISTRIBUTIONAL FEEDBACK CONTROL FOR FABRICATION OF ADVANCED MATERIALS" from August 1, 2021 through July 31, 2024. The research aims to develop new techniques for the fabrication...
- The University of California Santa Cruz will receive $273,625 under a Project Grant from the National Science Foundation Division of Astronomical Sciences to develop a framework for interpreting panchromatic observations of galaxy cluster halos. The award, made under the Mathematical and Physical Sciences program (CFDA 47.049), will support collaboration between researchers at UC Santa Cruz and the University of Maryland to combine data from the Dark Energy Spectroscopic Instrument, Atacama...
- The National Science Foundation awarded a $198,308 Project Grant to the University of California, Merced under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research titled "COLLABORATIVE RESEARCH: SHF: SMALL: TOWARDS ROBUST DEEP LEARNING COMPUTING ON GPUS" from October 1, 2021 to September 30, 2024. The grant funding will support investigator-initiated research and education activities to advance the development and use of robust...
The University of California Santa Cruz will receive $458,486 under a two-year Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant will fund research titled "Collaborative Research: Algebraic Framework of Compositional Functions for New Structure, Training, and Explainability of Deep Learning" from January 1, 2022 to December 31, 2024. The research aims to develop new techniques for deep learning model structure, training and explainability under the Mathematical and Physical Sciences program (CFDA 47.049). This program supports fundamental research and education to strengthen the Nation's scientific enterprise and increase understanding of major problems. The University will conduct research to advance algebraic methods for analyzing and improving deep learning models, with the goal of enhancing model transparency and performance.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $458.5k | 8/12/21 |