Congratulations to Venkat! We recently used the explicit expander construction from GUV (the CCC paper) to get a compressed sensing scheme, which is the key to our MM algorithms in arxiv.org/abs/2508.10250. (Thanks to @eigx.bsky.social for the pointer to GUV!)
Output-Sparse Matrix Multiplication Using Compressed Sensing
We give two algorithms for output-sparse matrix multiplication (OSMM), the problem of multiplying two $n \times n$ matrices $A, B$ when their product $AB$ is promised to have at most $O(n^δ)$ many non...
arxiv.org
Simons Institute Director Venkat Guruswami has been honored this summer with STOC and CCC 2026 Test of Time Awards for papers that transformed coding theory and pseudorandomness, and emerged from a common algebraic core. simons.berkeley.edu/news/guruswa...