Bighead's Algorithm Notes

Dec 11, 2025 · Artificial Intelligence

Paper Reading: CoRA – A Multimodal Covariate Adaptation Framework for Time‑Series Foundation Models

CoRA freezes pretrained time‑series foundation models, extracts multimodal covariate embeddings, evaluates their causal relevance with a trainable Granger‑Causal Embedding, and injects them via a zero‑initialized condition module, achieving up to 31.1% MSE reduction across single‑ and multi‑modal forecasting tasks.