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Temporal-Clustering Invariance in Irregular Healthcare Time Series

Temporal-Clustering Invariance in Irregular Healthcare Time Series

27 April 2019
M. T. Bahadori
Zachary Chase Lipton
    AI4TS
ArXivPDFHTML

Papers citing "Temporal-Clustering Invariance in Irregular Healthcare Time Series"

29 / 29 papers shown
Title
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
3DH
39
148
0
13 Sep 2019
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
58
2,482
0
19 Apr 2019
Learning to Exploit Invariances in Clinical Time-Series Data using
  Sequence Transformer Networks
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks
Jeeheh Oh
Jiaxuan Wang
Jenna Wiens
AI4TS
MedIm
32
49
0
21 Aug 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
100
497
0
11 Feb 2018
Attend and Diagnose: Clinical Time Series Analysis using Attention
  Models
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan-Zhi Song
Deepta Rajan
Jayaraman J. Thiagarajan
A. Spanias
MLAU
74
451
0
10 Nov 2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation
  for Early Sepsis Detection
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
Joseph D. Futoma
S. Hariharan
M. Sendak
Nathan Brajer
M. Clement
A. Bedoya
Cara O'Brien
Katherine A. Heller
43
127
0
19 Aug 2017
Dipole: Diagnosis Prediction in Healthcare via Attention-based
  Bidirectional Recurrent Neural Networks
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma
Radha Chitta
Jing Zhou
Quanzeng You
Tong Sun
Jing Gao
52
552
0
19 Jun 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural
  Networks
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao
Junchi Yan
Stephen M. Chu
Xiaokang Yang
H. Zha
AI4TS
44
266
0
24 May 2017
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes
  Processes for Risk Prognosis
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed Alaa
Scott Hu
M. Schaar
28
47
0
15 May 2017
Treatment-Response Models for Counterfactual Reasoning with
  Continuous-time, Continuous-valued Interventions
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions
Hossein Soleimani
Adarsh Subbaswamy
Suchi Saria
CML
23
23
0
06 Apr 2017
Multitask learning and benchmarking with clinical time series data
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
OOD
AI4TS
122
867
0
22 Mar 2017
Classifying Symmetrical Differences and Temporal Change in Mammography
  Using Deep Neural Networks
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks
Thijs Kooi
N. Karssemeijer
48
48
0
22 Mar 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
102
1,238
0
19 Aug 2016
Deepr: A Convolutional Net for Medical Records
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen
T. Tran
N. Wickramasinghe
Svetha Venkatesh
MedIm
48
371
0
26 Jul 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
288
1,924
0
06 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
94
2,150
0
17 May 2016
A Latent Variable Recurrent Neural Network for Discourse Relation
  Language Models
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
Yangfeng Ji
Gholamreza Haffari
Jacob Eisenstein
BDL
53
125
0
07 Mar 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
122
1,917
0
24 Feb 2016
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests
N. Razavian
David Sontag
32
58
0
25 Nov 2015
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
128
1,092
0
18 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
62
1,102
0
11 Nov 2015
Semi-supervised Sequence Learning
Semi-supervised Sequence Learning
Andrew M. Dai
Quoc V. Le
SSL
109
1,232
0
04 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
134
1,585
0
16 Jun 2015
Beyond Short Snippets: Deep Networks for Video Classification
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng
Matthew J. Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
R. Monga
G. Toderici
114
2,334
0
31 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
940
149,474
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
182
18,922
0
20 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
73
517
0
18 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
658
23,235
0
03 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
145
4,856
0
21 Dec 2013
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