conftrace_

time series forecasting

364 papers

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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

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NIPS 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NIPS 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NIPS 2024
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NIPS 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NIPS 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting NIPS 2024
Random Oscillators Network for Time Series Processing AISTATS 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NIPS 2024
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting AAAI 2024
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024
EasyTS: The Express Lane to Long Time Series Forecasting AAAI 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024
Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract) AAAI 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024
LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NIPS 2024