Resources about time series forecasting and deep learning.
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Add paper - SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
0ccdf3fView on GitHubAdd paper - KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
26ed52cView on GitHubAdd paper - Mamba time series forecasting with uncertainty quantification
df1372dView on GitHubAdd paper - TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
6bfc29dView on GitHubAdd paper - Are KANs Effective for Multivariate Time Series Forecasting?
2202de8View on GitHubAdd paper - OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
201c14eView on GitHubAdd benchmark - It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
6ede395View on GitHubAdd paper - Chronos-2: From Univariate to Universal Forecasting
5f1d882View on GitHubAdd paper - From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
a1fe99eView on GitHubAdd paper - Dynamic Sector Fusion Transformer for Stock Index Prediction
ca86decView on GitHubAdd paper - SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting
27e13a4View on GitHubAdd paper - Position: Beyond Model-Centric Prediction -- Agentic Time Series Forecasting
5d1fc93View on GitHubAdd paper - Time series forecasting with Hahn Kolmogorov-Arnold networks
da1aebcView on GitHubAdd paper - CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting
7190c74View on GitHubAdd paper - Conformal Prediction Algorithms for Time Series Forecasting: Methods and Benchmarking
504daf0View on GitHub