Project Grant 2403452

Award Date 7/1/24
Completion Date 6/30/28
Dollars Obligated $455K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
La Jolla, CA 92093, USA
Similar Awards
The University of California, San Diego (UCSD) was awarded a $400,000 Project Grant by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program. The 4-year grant, starting on May 1, 2024, will fund research to develop innovative privacy-preserving machine learning algorithms for graph-structured data, which has widespread applications in areas like communication theory, computational biology, and social sciences. The project aims to establish a...
The University of California, San Diego (UCSD) was awarded a 5-year, $165,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The goal of this project is to develop algorithms, software, and systems that can automatically generate high-quality labeled data to mitigate the lack of labeled training data in specialized domains such as healthcare, legislation, and environmental sciences. The proposed approaches...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $596,797 to the University of California, San Diego (UCSD) from September 1, 2024 to August 31, 2027. The project aims to develop automated frameworks for interpreting neural networks and designing robust, human-understandable neural network models. Key objectives include: (1) automating interpretations that describe the internal functioning of deep...
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...
The University of California, San Diego (UCSD) received a $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports the development of advanced computational and statistical methods for analyzing complex, dependent data from diverse scientific domains such as climate, economics, and neuroimaging. Key research thrusts include subsampling and resampling techniques for large datasets, robust...
The National Science Foundation awarded $800,000 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of California, San Diego from September 1, 2022 to August 31, 2025. The project grant funding will support the development of lifelong learning algorithms using hyperdimensional computing, a brain-inspired framework for distributed computing. Specifically, the awardee will advance algorithms for similarity search, density estimation,...
The University of California, San Diego (UCSD) was awarded a $300,000 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research integrating metric and topological perspectives in graph analysis from June 1, 2023 through May 31, 2026. Through this award, UCSD researchers will develop new methods for analyzing complex graph data by combining ideas from fields like applied topology,...
This $299,889 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of California, San Diego (UCSD) to develop algorithms for compressing and improving the efficiency of large neural networks used in modern artificial intelligence applications. The key products and services to be delivered include: The research project focuses on developing quantization, pruning, and low-rank...
This $600,000 project grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, will support research to develop a new Bayesian diffusion model framework for advanced visual perception and cognition systems. The University of California, San Diego (UCSD) will serve as the primary awardee, with the goal of revisiting the analysis-by-synthesis methodology by integrating generative priors into the learning and inference...

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 how they learn and generalize to unseen data; 2) investigate dimensionality reduction, clustering, and importance sampling approaches to reduce the size of the network model; and 3) apply the geometric analysis to analyze domain adaptation and graph neural network transfer. The project plans to test the developed methods through external collaborations and conduct activities to broaden participation in computing, including new course development, REU programs, and K-12 initiatives. No sub-awards are planned for this grant.

Generated 3/18/25, 5:11 AM