Scaling Representation Learning from Ubiquitous ECG with State-Space Models

26 September 2023

Shrikanth Narayanan

Papers citing "Scaling Representation Learning from Ubiquitous ECG with State-Space Models"

21 / 21 papers shown

Title
Representation Learning for Wearable-Based Applications in the Case of Missing Data Janosch Jungo Yutong Xiang S. Gashi Christian Holz 84 3 0 08 Jan 2024
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata Temesgen Mehari Nils Strodthoff 43 17 0 29 Aug 2023
Effectively Modeling Time Series with Simple Discrete State Spaces Michael Zhang Khaled Kamal Saab Michael Poli Tri Dao Karan Goel Christopher Ré AI4TS 51 46 0 16 Mar 2023
On the Generalizability of ECG-based Stress Detection Models Pooja Prajod Elisabeth André 34 10 0 12 Oct 2022
Self-supervised Learning in Remote Sensing: A Review Yi Wang C. Albrecht Nassim Ait Ali Braham Lichao Mou Xiao Xiang Zhu 87 224 0 27 Jun 2022
Self-Supervised Learning for Videos: A Survey Madeline Chantry Schiappa Yogesh S Rawat M. Shah SSL 94 135 0 18 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 112 285 0 17 Jun 2022
Transformer-Based Self-Supervised Learning for Emotion Recognition Juan Vazquez-Rodriguez G. Lefebvre Julien Cumin James L. Crowley 42 25 0 08 Apr 2022
A Transformer Architecture for Stress Detection from ECG Behnam Behinaein Anubha Bhatti D. Rodenburg Paul Hungler Ali Etemad 47 56 0 22 Aug 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 103 566 0 27 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 95 204 0 28 Jan 2021
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 110 517 0 17 Aug 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 540 2,081 0 28 Jul 2020
Subject-Aware Contrastive Learning for Biosignals Joseph Y. Cheng Hanlin Goh Kaan Dogrusoz Oncel Tuzel Erdrin Azemi SSL 50 112 0 30 Jun 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 282 5,790 0 20 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 121 1,617 0 15 Jun 2020
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers Karel Mundnich Brandon M. Booth Michelle L’Hommedieu Tiantian Feng Benjamin Girault ... J. Villatte T. Falk Kristina Lerman Emilio Ferrara Shrikanth Narayanan 46 49 0 18 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 358 18,752 0 13 Feb 2020
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 169 5,000 0 27 Jun 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 171 2,979 0 30 Mar 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 457 43,649 0 17 Sep 2014