Time series
Sequence of data points over time
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8 news mentions · 👍 0 likes · 👎 0 dislikes
📌 Topics
- Time Series Analysis (4)
- Machine Learning (2)
- Artificial Intelligence (2)
- Time Series (1)
- Forecasting (1)
- Normalization (1)
- Time Series Forecasting (1)
- Causal Discovery (1)
- Semantic Reasoning (1)
- Technology innovation (1)
- Stochastic forecasting (1)
- Decision optimization (1)
🏷️ Keywords
time series (3) · arXiv (2) · TimeAPN (1) · time series forecasting (1) · normalization (1) · non-stationarity (1) · amplitude (1) · phase (1) · adaptive (1) · Baguan-TS (1) · forecasting (1) · covariates (1) · in-context learning (1) · sequence-native (1) · model (1) · xaitimesynth (1) · Python (1) · attribution methods (1) · synthetic ground truth (1) · evaluation (1)
📖 Key Information
📰 Related News (8)
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🇺🇸 Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
arXiv:2603.22372v1 Announce Type: cross Abstract: Recent advances in multimodal learning have motivated the integration of auxiliary modalities such ...
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🇺🇸 TimeAPN: Adaptive Amplitude-Phase Non-Stationarity Normalization for Time Series Forecasting
arXiv:2603.17436v1 Announce Type: cross Abstract: Non-stationarity is a fundamental challenge in multivariate long-term time series forecasting, ofte...
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🇺🇸 Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates
arXiv:2603.17439v1 Announce Type: cross Abstract: Transformers enable in-context learning (ICL) for rapid, gradient-free adaptation in time series fo...
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🇺🇸 xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth
arXiv:2603.06781v1 Announce Type: cross Abstract: Evaluating time series attribution methods is difficult because real-world datasets rarely provide ...
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🇺🇸 Learning Causal Structure of Time Series using Best Order Score Search
arXiv:2603.05370v1 Announce Type: cross Abstract: Causal structure learning from observational data is central to many scientific and policy domains,...
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🇺🇸 KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning
arXiv:2602.20494v1 Announce Type: new Abstract: Driven by the increasingly complex and decision-oriented demands of time series analysis, we introduc...
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🇺🇸 Diffusion-Based Scenario Tree Generation for Multivariate Time Series Prediction and Multistage Stochastic Optimization
arXiv:2509.14832v2 Announce Type: replace-cross Abstract: Stochastic forecasting is critical for efficient decision-making in uncertain systems, such...
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🇺🇸 LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
arXiv:2406.14045v3 Announce Type: replace-cross Abstract: Time Series Forecasting (TSF) has long been a challenge in time series analysis. Inspired b...
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Python · 1 shared articles
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Large language model · 1 shared articles