most citedDropping diversity of products of large US firms: Models and measures

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR2026

GINGER: Spicing Up Graph-Based Vector Search

Daniel Salwasser, Lars Gottesbüren, Laxman Dhulipala +7

We present \textsc{Ginger}, a state-of-the-art open-source C++ library for graph-based approximate nearest neighbor search (ANNS). We developed \textsc{Ginger} at Google to push th…

cs.DB2026

Turbocharging PiPNN for Proximity and -NN Graph Building

Tobias Rubel, Richard Wen, Guy Blelloch +4

Graph-based Approximate Nearest Neighbor Search (ANNS) indexes such as HNSW and Vamana deliver state-of-the-art query performance at the cost of large indexing times. The recently…

cs.DB2026

PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor Indexing

Tobias Rubel, Richard Wen, Laxman Dhulipala +3

The fastest indexes for Approximate Nearest Neighbor Search today are also the slowest to build: graph-based methods like HNSW and Vamana achieve state-of-the-art query performance…

q-fin.ST2021★ 3 cited

Dropping diversity of products of large US firms: Models and measures

Ananthan Nambiar, Tobias Rubel, James McCaull +2

It is widely assumed that in our lifetimes the products available in the global economy have become more diverse. This assumption is difficult to investigate directly, however, bec…

q-bio.MN2021★ 1 cited

Graphery: Interactive Tutorials for Biological Network Algorithms

Heyuan Zeng, Jinbiao Zhang, Gabriel A. Preising +3

Networks provide a meaningful way to represent and analyze complex biological information, but the methodological details of network-based tools are often described for a technical…