Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

19 September 2019

Papers citing "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

15 / 15 papers shown

Title
An End-to-End Framework for Optimizing Foot Trajectory and Force in Dry Adhesion Legged Wall-Climbing Robots Jichun Xiao Jiawei Nie Lina Hao Zhi Li 34 0 0 28 Apr 2025
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 30 38 0 04 Nov 2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences Siqiao Xue X. Shi James Y. Zhang Hongyuan Mei AI4TS 19 34 0 04 Oct 2022
Unsupervised Domain Adaptation for Constraining Star Formation Histories Sankalp Gilda Antoine de Mathelin Sabine Bellstedt Guillaume Richard 31 10 0 28 Dec 2021
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 25 1 0 20 Sep 2021
AdaRNN: Adaptive Learning and Forecasting of Time Series Yuntao Du Jindong Wang Wenjie Feng Sinno Jialin Pan Tao Qin Renjun Xu Chongjun Wang AI4TS 24 236 0 10 Aug 2021
Latent Time-Adaptive Drift-Diffusion Model Gabriele Cimolino F. Rivest 27 0 0 04 Jun 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 32 27 0 09 Apr 2021
Long Horizon Forecasting With Temporal Point Processes Prathamesh Deshpande Kamlesh Marathe A. De Sunita Sarawagi AI4TS 16 20 0 08 Jan 2021
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 18 26 0 14 Oct 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 89 288 0 03 Mar 2020
Time Series Alignment with Global Invariances Titouan Vayer R. Tavenard Laetitia Chapel Nicolas Courty Rémi Flamary Yann Soullard AI4TS 14 16 0 10 Feb 2020
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
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 141 611 0 05 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015