2 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
Daniel Severo, James Townsend, Ashish Khisti +1
We present a one-shot method for compressing large labeled graphs called Random Edge Coding. When paired with a parameter-free model based on Pólya's Urn, the worst-case computatio…
Regularized Classification-Aware Quantization
Daniel Severo, Elad Domanovitz, Ashish Khisti
Traditionally, quantization is designed to minimize the reconstruction error of a data source. When considering downstream classification tasks, other measures of distortion can be…
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan, Karen Ullrich, Daniel Severo +5
Latent variable models have been successfully applied in lossless compression with the bits-back coding algorithm. However, bits-back suffers from an increase in the bitrate equal…
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Daniel Severo, Flávio Amaro, Estevam R. Hruschka +1
We present a proxy dataset of vital signs with class labels indicating patient transitions from the ward to intensive care units called Ward2ICU. Patient privacy is protected using…