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foundational-models

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An improved temporal data pipeline with foundational model for battery State of Health (SOH) prediction (R²->0.99) using advanced time series decomposition (D3R, CEEMDAN) and transformer-based methods. Utilized 100-150 features (ARIMA-based, Rolling statistics, Degradation indicators)

  • Updated Jan 25, 2026
  • Python

Computationally efficient multi-scale foundation model for computational pathology. 71M parameters, runs end-to-end on a single consumer GPU.

  • Updated May 9, 2026
  • Jupyter Notebook

We introduce Weight Sharing Attention to improve state representation in Reinforcement Learning. By combining embeddings from different Foundational Models, WSA enhances learning efficiency. Tested on Atari games, it performs on par with advanced methods and addresses issues like out-of-distribution data.

  • Updated Jul 16, 2024
  • Python

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