Hugging Face Trending Papers
The Nixtlaverse: An Open-Source Ecosystem for Forecasting
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arXiv Machine Learning
2d ago
The Nixtlaverse: An Open-Source Ecosystem for Forecasting
arXiv:2609.39741v1 Announce Type: new Abstract: Large forecasting applications often combine statistical, machine-learning, and neural models. These families solve the same problem but differ in fitt...
arXiv Machine Learning
Jun 30
fev-bench: A Realistic Benchmark for Time Series Forecasting
arXiv:2509. 26468v3 Announce Type: replace Abstract: Benchmark quality is critical for meaningful evaluation and sustained progress in time series forecasting, particularly with the rise of pretrained models.
arXiv Machine Learning
Jul 13
Forking-Sequences: Statistically and Computationally Efficient Multi-Horizon Forecasting with Reduced Volatility
arXiv:2510. 04487v5 Announce Type: replace Abstract: While accuracy is a critical requirement for time series forecasting, an equally important desideratum is reasonable forecast volatility across forecast creation dates (FCDs).
arXiv Machine Learning
Jun 29
Unified Zero-Shot Time Series Forecasting: A Darts Foundation
arXiv:2606. 27438v1 Announce Type: new Abstract: Since its initial release in 2020, Darts has become a widely used open-source Python library for time series analysis.
arXiv AI
Jul 2
EVOTS: Evolutionary Transformer Search for Time Series Forecasting
arXiv:2607. 00154v1 Announce Type: cross Abstract: Evolutionary neural architecture design for multivariate time-series forecasting remains underexplored, with most approaches relying on fixed Transformer architectures despite substantial variation across tasks and forecasting settings.
Hugging Face Trending Papers
Jul 2
Evolutionary Feature Engineering for Structured Data
Large language models are increasingly used as open-ended search operators in evolutionary optimization. We introduce Evolutionary Feature Engineering (EFE), a framework for using LLM-based evolution to discover preprocessing transformations for structured data.