activity
20202022
most citedExact and Approximate Hierarchical Clustering Using A*

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

collaborators

5 papers

eess.AS20221 cited

The 2021 NIST Speaker Recognition Evaluation

Seyed Omid Sadjadi, Craig Greenberg, Elliot Singer +2

The 2021 Speaker Recognition Evaluation (SRE21) was the latest cycle of the ongoing evaluation series conducted by the U.S. National Institute of Standards and Technology (NIST) si…

eess.AS2022

The NIST CTS Speaker Recognition Challenge

Seyed Omid Sadjadi, Craig Greenberg, Elliot Singer +2

The US National Institute of Standards and Technology (NIST) has been conducting a second iteration of the CTS challenge since August 2020. The current iteration of the CTS Challen…

cs.LG20212 cited

Exact and Approximate Hierarchical Clustering Using A*

Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath +6

Hierarchical clustering is a critical task in numerous domains. Many approaches are based on heuristics and the properties of the resulting clusterings are studied post hoc. Howeve…

cond-mat.quant-gas2021

Machine-learning enhanced dark soliton detection in Bose-Einstein condensates

Shangjie Guo, Amilson R. Fritsch, Craig Greenberg +2

Most data in cold-atom experiments comes from images, the analysis of which is limited by our preconceptions of the patterns that could be present in the data. We focus on the well…

cs.DS2020

Data Structures & Algorithms for Exact Inference in Hierarchical Clustering

Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath +5

Hierarchical clustering is a fundamental task often used to discover meaningful structures in data, such as phylogenetic trees, taxonomies of concepts, subtypes of cancer, and casc…