16 citations · 18 across the 7 of their papers we have counts for
8 papers
Which Similarity-Sensitive Entropy (Sentropy)?
Phuc Nguyen, Josiah Couch, Rahul Bansal +5
Shannon entropy is not the only entropy that is relevant to machine-learning datasets, nor possibly even the most important one. Traditional entropies such as Shannon entropy captu…
GEM-T: Generative Tabular Data via Fitting Moments
Miao Li, Phuc Nguyen, Christopher Tam +6
Tabular data dominates data science but poses challenges for generative models, especially when the data is limited or sensitive. We present a novel approach to generating syntheti…
X-Factor: Quality Is a Dataset-Intrinsic Property
Josiah Couch, Miao Li, Rima Arnaout +1
In the universal quest to optimize machine-learning classifiers, three factors -- model architecture, dataset size, and class balance -- have been shown to influence test-time perf…
Grade Inflation in Generative Models
Phuc Nguyen, Miao Li, Alexandra Morgan +2
Generative models hold great potential, but only if one can trust the evaluation of the data they generate. We show that many commonly used quality scores for comparing two-dimensi…
: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository
Kenneth Ge, Phuc Nguyen, Ramy Arnaout
The University of California--Irvine (UCI) Machine Learning (ML) Repository (UCIMLR) is consistently cited as one of the most popular dataset repositories, hosting hundreds of high…
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning
Josiah Couch, Rima Arnaout, Ramy Arnaout
In deep learning, achieving high performance on image classification tasks requires diverse training sets. However, the current best practice$\unicode{x2013}$maximizing dataset siz…
Scaling Monte-Carlo-Based Inference on Antibody and TCR Repertoires
Josiah Couch, Rohit Arora, Jasper Braun +5
Previously, it has been shown that maximum-entropy models of immune-repertoire sequence can be used to determine a person's vaccination status. However, this approach has the drawb…
Fast and accurate classification of echocardiograms using deep learning
Ali Madani, Ramy Arnaout, Mohammad Mofrad +1
Echocardiography is essential to modern cardiology. However, human interpretation limits high throughput analysis, limiting echocardiography from reaching its full clinical and res…