Machine Learning

Influential Time Series Forecasting Papers for 2023–2024: Part 1 | by Nikos Kafritsas | January, 2025

Examining recent developments in time series

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Let's kick off 2025 with a collection of notable time series forecast papers.

I have included some important papers from 2023 as well. 2024 was the year of base prediction models – but I will cover those in a separate article.

The documents I will include are:

  1. Forecasting Based on Deep Learning: A Case from the Online Fashion Industry
  2. Predicting Reciprocity: A Review
  3. TSMixer: An All-MLP Architecture for Time Series Forecasting
  4. CARD: A Station-Aligned Robust Coherent Converter for Time Series Forecasting
  5. Long Range Transducers for Dynamic Spatial Prediction

Let's get started!

✅ I introduced it AI Horizon Forecast, a journal focused on time series and new AI research. Sign up here to expand your horizons!

This paper is precious.

It made headlines at first because Zalandothe leading online retailer of fashion, used…

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