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Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data
Conference on Uncertainty in Artificial Intelligence (UAI), 2014
19 February 2014
Thomas A. Lasko
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Papers citing
"Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data"
16 / 16 papers shown
Self-supervised learning of imaging and clinical signatures using a multimodal joint-embedding predictive architecture
Thomas Z. Li
Aravind Krishnan
Lianrui Zuo
J. M. Still
K. Sandler
Fabien Maldonado
Thomas A. Lasko
Bennett A. Landman
105
0
0
18 Sep 2025
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
Thomas A. Lasko
J. M. Still
Thomas Z. Li
Marco Barbero Mota
William W Stead
Eric V. Strobl
Bennett A. Landman
Fabien Maldonado
239
5
0
08 Feb 2024
Heterogeneous Multi-Task Gaussian Cox Processes
Machine-mediated learning (ML), 2023
Feng Zhou
Quyu Kong
Zhijie Deng
Fengxiang He
Peng Cui
Jun Zhu
272
4
0
29 Aug 2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Thomas Z. Li
J. M. Still
Kaiwen Xu
Ho Hin Lee
L. Cai
...
M. Kammer
K. Sandler
Fabien Maldonado
Bennett A. Landman
Thomas A. Lasko
423
15
0
06 Apr 2023
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain
Alexandre Gramfort
Thomas Moreau
195
5
0
08 Dec 2021
Row-clustering of a Point Process-valued Matrix
Lihao Yin
Ganggang Xu
H. Sang
Yongtao Guan
227
6
0
04 Oct 2021
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes
Knowledge Discovery and Data Mining (KDD), 2021
Maya Okawa
Tomoharu Iwata
Yusuke Tanaka
Hiroyuki Toda
Takeshi Kurashima
H. Kashima
AI4TS
263
17
0
24 May 2021
Fast and Flexible Temporal Point Processes with Triangular Maps
Neural Information Processing Systems (NeurIPS), 2020
Oleksandr Shchur
Nicholas Gao
Marin Bilovs
Stephan Günnemann
390
40
0
22 Jun 2020
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
Journal of Biomedical Informatics (JBI), 2019
Rui Meng
Braden C. Soper
Herbert Lee
Vincent X. Liu
John D Greene
Priyadip Ray
164
12
0
13 Oct 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series
International Conference on Learning Representations (ICLR), 2019
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
3DH
262
178
0
13 Sep 2019
Structured Variational Inference in Continuous Cox Process Models
Neural Information Processing Systems (NeurIPS), 2019
Virginia Aglietti
Edwin V. Bonilla
Theodoros Damoulas
Sally Cripps
186
16
0
07 Jun 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
A. F. López-Lopera
S. T. John
N. Durrande
233
16
0
28 Feb 2019
Modeling Irregularly Sampled Clinical Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
172
10
0
03 Dec 2018
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation
Charles Hamesse
Ruibo Tu
P. Ackermann
Hedvig Kjellström
Cheng Zhang
209
4
0
08 Sep 2018
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction
Yatao Zhong
Bicheng Xu
Guang-Tong Zhou
L. Bornn
Greg Mori
AI4TS
213
11
0
13 Aug 2018
Variational Inference for Gaussian Process Modulated Poisson Processes
C. Lloyd
Tom Gunter
Michael A. Osborne
Stephen J. Roberts
302
125
0
02 Nov 2014
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