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

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024
A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NIPS 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach IJCAI 2024
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction IJCAI 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024
Financial Forecasting from Textual and Tabular Time Series EMNLP 2024
Modeling News Interactions and Influence for Financial Market Prediction EMNLP 2024
PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations EMNLP 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting NIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract) AAAI 2024
Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract) AAAI 2024
Are Language Models Actually Useful for Time Series Forecasting? NIPS 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models AAAI 2024
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting AAAI 2024
Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024
aeon: a Python Toolkit for Learning from Time Series JMLR 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NIPS 2024
An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters JMLR 2024