5 citations · 5 across the 6 of their papers we have counts for
6 papers
Vendi Novelty Scores for Out-of-Distribution Detection
Amey P. Pasarkar, Adji Bousso Dieng
Out-of-distribution (OOD) detection is critical for the safe deployment of machine learning systems. Existing post-hoc detectors typically rely on model confidence scores or likeli…
Applications of the Vendi score in genomic epidemiology
Bjarke Frost Nielsen, Amey P. Pasarkar, Qiqi Yang +2
The Vendi score (VS), a diversity metric recently conceived in the context of machine learning, with applications in a wide range of fields, has a few distinct advantages over the…
A Unified and Predictive Measure of Functional Diversity
Adji Bousso Dieng, Amey Pasarkar
Despite the critical role of functional diversity (FD) in understanding ecological systems and processes, its robust quantification remains a significant challenge. A long-held vie…
The Vendiscope: An Algorithmic Microscope For Data Collections
Amey P. Pasarkar, Adji Bousso Dieng
The evolution of microscopy, beginning with its invention in the late 16th century, has continuously enhanced our ability to explore and understand the microscopic world, enabling…
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar, Adji Bousso Dieng
Measuring diversity accurately is important for many scientific fields, including machine learning (ML), ecology, and chemistry. The Vendi Score was introduced as a generic similar…
Social Distancing and the Internet: What Can Network Performance Measurements Tell Us?
Jessica De Oliveira Moreira, Amey Praveen Pasarkar, Wenjun Chen +3
The COVID-19 pandemic and related restrictions forced many to work, learn, and socialize from home over the internet. There appears to be consensus that internet infrastructure in…