Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

28 May 2019

Nino Antulov-Fantulin

Papers citing "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data"

14 / 14 papers shown

Title
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 36 2 0 17 May 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 41 1 0 24 Apr 2024
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 23 3 0 02 Feb 2023
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers Ran Liu Mehdi Azabou M. Dabagia Jingyun Xiao Eva L. Dyer AI4CE 32 19 0 10 Jun 2022
NeuroView-RNN: It's About Time C. Barberan Sina Alemohammad Naiming Liu Randall Balestriero Richard G. Baraniuk AI4TS HAI 33 2 0 23 Feb 2022
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild Han Yu Akane Sano 8 11 0 22 Feb 2022
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 18 31 0 19 Dec 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 18 30 0 12 Feb 2021
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease Ning Wang Mingxuan Chen K. P. Subbalakshmi 12 22 0 25 Jun 2020
Towards Transparent and Explainable Attention Models Akash Kumar Mohankumar Preksha Nema Sharan Narasimhan Mitesh M. Khapra Balaji Vasan Srinivasan Balaraman Ravindran 31 99 0 29 Apr 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan Ö. Arik Nicolas Loeff Tomas Pfister AI4TS 14 1,406 0 19 Dec 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks Aya Abdelsalam Ismail Mohamed K. Gunady L. Pessoa H. C. Bravo S. Feizi AI4TS 14 50 0 27 Oct 2019
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories Ian Fox Lynn Ang M. Jaiswal R. Pop-Busui Jenna Wiens OOD AI4TS 62 77 0 14 Jun 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017