Deep Efficient Continuous Manifold Learning for Time Series Modeling

3 December 2021

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

6 / 6 papers shown

Title
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 17 0 0 07 Apr 2025
Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography H. T. Gowda Zachary D. McNaughton Lee M Miller 24 0 0 04 Nov 2024
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression Seungwoo Jeong Wonsik Jung Junghyo Sohn Heung-Il Suk 15 3 0 05 Oct 2023
Geometry-Aware Latent Representation Learning for Modeling Disease Progression of Barrett's Esophagus Vivien van Veldhuizen DRL 28 0 0 17 Mar 2023
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,876 0 14 Dec 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 207 1,895 0 06 Jun 2016