Learning Long-Term Dependencies in Irregularly-Sampled Time Series

8 June 2020

Ramin Hasani

Papers citing "Learning Long-Term Dependencies in Irregularly-Sampled Time Series"

27 / 27 papers shown

Title
DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Khashayar Ghanizadegan Hashim A. Hashim 61 0 0 13 Mar 2025
S7: Selective and Simplified State Space Layers for Sequence Modeling Taylan Soydan Nikola Zubić Nico Messikommer Siddhartha Mishra Davide Scaramuzza 35 4 0 04 Oct 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 11 0 22 Feb 2024
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 21 4 0 16 Oct 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 18 0 0 23 Aug 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs T. Kim T. Can K. Krishnamurthy AI4CE 35 4 0 12 Jul 2023
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach C. Coelho M. F. P. Costa L. L. Ferrás BDL AI4TS 27 13 0 11 Jul 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 21 1 0 15 Jun 2023
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Zibo Liu Parshin Shojaee Chandan K. Reddy AI4TS AI4CE 26 9 0 30 May 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 27 0 0 14 Apr 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
Continuous Depth Recurrent Neural Differential Equations Srinivas Anumasa Geetakrishnasai Gunapati P. K. Srijith AI4TS 18 0 0 28 Dec 2022
Irregularly-Sampled Time Series Modeling with Spline Networks Marin Bilos Emanuel Ramneantu Stephan Günnemann AI4TS 24 1 0 19 Oct 2022
On the Forward Invariance of Neural ODEs Wei Xiao Tsun-Hsuan Wang Ramin Hasani Mathias Lechner Yutong Ban Chuang Gan Daniela Rus 31 11 0 10 Oct 2022
PyHopper -- Hyperparameter optimization Mathias Lechner Ramin Hasani Philipp Neubauer Sophie A. Neubauer Daniela Rus GP 16 4 0 10 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 101 95 0 26 Sep 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji Jingyuan Wang Zhe Jiang Jiawei Jiang Hu Zhang DiffM PINN OOD AI4CE 12 77 0 01 Sep 2022
Stop&Hop: Early Classification of Irregular Time Series Thomas Hartvigsen Walter Gerych Jidapa Thadajarassiri Xiangnan Kong Elke A. Rundensteiner AI4TS 32 13 0 21 Aug 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 6 4 0 02 Jun 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 20 26 0 04 Mar 2022
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs Justin Baker E. Cherkaev A. Narayan Bao Wang AI4CE 11 4 0 24 Feb 2022
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 18 17 0 18 Jul 2021
The Limit Order Book Recreation Model (LOBRM): An Extended Analysis Zijian Shi John Cartlidge 13 5 0 01 Jul 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 18 16 0 24 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 33 34 0 15 Mar 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 210 1,897 0 06 Jun 2016