Time Series
108 papers
Papers per year
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21
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Papers
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
AAAI 2023
Temporal Dependencies in Feature Importance for Time Series Prediction
ICLR 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
AAAI 2023
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
ICLR 2022
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
AAAI 2022
Example or Prototype? Learning Concept-Based
Explanations in Time-Series
ACML 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
NeurIPS 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
NeurIPS 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting
AAAI 2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
NeurIPS 2022
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
ICLR 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
AAAI 2022
Attentive Neural Point Processes for Event Forecasting
AAAI 2021
Clairvoyance: A Pipeline Toolkit for Medical Time Series
ICLR 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning
ACML 2021
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
NeurIPS 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
AAAI 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NeurIPS 2021
Fairness in Forecasting and Learning Linear Dynamical Systems
AAAI 2021
Forecasting Irreversible Disease via Progression Learning
CVPR 2021
Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning
AAAI 2021
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems
AAAI 2021
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
NeurIPS 2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
NeurIPS 2020
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
IJCAI 2020