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Deep Efficient Continuous Manifold Learning for Time Series Modeling
v1v2 (latest)

Deep Efficient Continuous Manifold Learning for Time Series Modeling

3 December 2021
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
    AI4TS
ArXiv (abs)PDFHTMLGithub

Papers citing "Deep Efficient Continuous Manifold Learning for Time Series Modeling"

6 / 6 papers shown
Alzheimers Disease Progression Prediction Based on Manifold Mapping of Irregularly Sampled Longitudinal Data
Alzheimers Disease Progression Prediction Based on Manifold Mapping of Irregularly Sampled Longitudinal Data
Xin Hong
Ying Shi
Yinhao Li
Yen-Wei Chen
178
0
0
25 Nov 2025
Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces
Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces
Arnau Marin-Llobet
Arnau Manasanch
Sergio Sanchez-Manso
Lluc Tresserras
Xinhe Zhang
Yining Hua
Hao Zhao
Melody Torao-Angosto
M. Sanchez-Vives
Leonardo Dalla Porta
182
0
0
07 Apr 2025
Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography
Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyographyJournal of Neural Engineering (J. Neural Eng.), 2024
H. T. Gowda
Zachary D. McNaughton
Lee M Miller
265
1
0
04 Nov 2024
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's
  Disease Progression
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease ProgressionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Seungwoo Jeong
Wonsik Jung
Junghyo Sohn
Heung-Il Suk
291
7
0
05 Oct 2023
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders
Vivien van Veldhuizen
Sharvaree P. Vadgama
Onno J. de Boer
Sybren Meijer
Erik Bekkers
DRL
381
0
0
17 Mar 2023
U-Time: A Fully Convolutional Network for Time Series Segmentation
  Applied to Sleep Staging
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep StagingNeural Information Processing Systems (NeurIPS), 2019
Mathias Perslev
M. Jensen
Kenny Erleben
P. Jennum
Christian Igel
AI4TS
377
312
0
24 Oct 2019
1
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