A PyTorch implementation of VL-JEPA from the paper "VL-JEPA: Joint Embedding Predictive Architecture for Vision-language" (arXiv:2512.10942v2). vl-jepa/ ├── src/ │ ├── model.py # Core VL-JEPA model ...

InfoNCE: L_N = −E[log f_k(x_{t+k},c_t) / Σ_j f_k(x_j,c_t)]; minimizing this lower-bounds MI: I(x_{t+k};c_t) ≥ log(N) − L_N. Critic f_k(x,c) = exp(z^T W_k c) is ...

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