Update some paper

[lixus7]

Hi Xiyuan,

Here is the supplement to the paper list (NIPS 2023 and ICML 2023):

NIPS23-ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

NIPS23-Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling

NIPS23-Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context

NIPS23-Taming Local Effects in Graph-based Spatiotemporal Forecasting

NIPS23-Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

NIPS23-Generative Pre-Training of Spatio-Temporal Graph Neural Networks

ICML23-Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation

[lixus7]

AAAI24-Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence

AAAI24-Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

AAAI24-Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

AAAI24-ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting

AAAI24-Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction

[xiyuanzh]

Thanks for the comment! I have added the suggested papers.