12 citations · 18 across the 13 of their papers we have counts for
3 papers · 1 filter
Geometric Kernel Diversity: An Axiomatic Diversity Measure in Euclidean Space
Ditbul Ban, Younghun Roh, Julian Shun +1
Quantifying the diversity of a set of objects is a fundamental problem in machine learning and statistics. Mironov and Prokhorenkova (2025) recently showed that three axioms-monoto…
PROTOCOL: Late Interaction Retrieval for Protein Homolog Search
Gabrielle Cohn, Rohan Gumaste, Minh Hoang +1
Protein homology search underlies function annotation, structure prediction, and evolutionary analysis, but remains challenging in the "twilight zone," where global sequence simila…
AutoCSF: Provably Space-Efficient Indexing of Skewed Key-Value Workloads via Filter-Augmented Compressed Static Functions
David Torres Ramos, Vihan Lakshman, Chen Luo +2
We study the problem of building space-efficient, in-memory indexes for massive key-value datasets with highly skewed value distributions. This challenge arises in many data-intens…