conftrace_

time series forecasting

364 papers

Explore in graph

Also known as

TSF

Co-occurring keywords

multivariate time series (139) deep learning (2118) attention mechanism (4001) large language model (13587) time series (435) graph neural network (3962) probabilistic forecasting (45) representation learning (6206) neural network (6616) transformer architecture (1560)

Papers

SSMF: Shifting Seasonal Matrix Factorization NIPS 2021
Data Sharing and Compression for Cooperative Networked Control NIPS 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series AISTATS 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning AISTATS 2021
Dynamic Tensor Recommender Systems JMLR 2021
MC-LSTM: Mass-Conserving LSTM ICML 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting ICML 2021
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting IJCAI 2021
Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks IJCAI 2021
Predictive Analytics for COVID-19 Social Distancing IJCAI 2021
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances AAAI 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting AAAI 2021
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021
Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone AAAI 2021
Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning AAAI 2021
A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting AAAI 2021
Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction AAAI 2021
Conformal Time-series Forecasting NIPS 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
Topological Attention for Time Series Forecasting NIPS 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series NIPS 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data NIPS 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021