10 citations · 20 across the 9 of their papers we have counts for
9 papers
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…
Action Matching: Learning Stochastic Dynamics from Samples
Kirill Neklyudov, Rob Brekelmans, Daniel Severo +1
Learning the continuous dynamics of a system from snapshots of its temporal marginals is a problem which appears throughout natural sciences and machine learning, including in quan…
Predição de Incidência de Lesão por Pressão em Pacientes de UTI usando Aprendizado de Máquina
Henrique P. Silva, Arthur D. Reys, Daniel S. Severo +7
Pressure ulcers have high prevalence in ICU patients but are preventable if identified in initial stages. In practice, the Braden scale is used to classify high-risk patients. This…
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…
Compressing Multisets with Large Alphabets using Bits-Back Coding
Daniel Severo, James Townsend, Ashish Khisti +2
Current methods which compress multisets at an optimal rate have computational complexity that scales linearly with alphabet size, making them too slow to be practical in many real…
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…
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes
Arthur D. Reys, Danilo Silva, Daniel Severo +3
ICD coding from electronic clinical records is a manual, time-consuming and expensive process. Code assignment is, however, an important task for billing purposes and database orga…
Nota Técnica dos Modelos Implementados pelo Coletivo Covid19br para Projeções de Cenários Futuros da Pandemia COVID-19 no Brasil
Daniel Severo, Giuliano Netto Flores Cruz, Alcides Carlos de Araújo +14
This technical note aims to provide a brief introduction to the projection models used by the group to project future scenarios for states and municipalities in real-time, accordin…
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…