x-jepa 0.0.14

Explorations into JEPA

x-jepa

Explorations into some of the approaches advocated by Yann LeCun, and just a more wholistic architecture (JEPA) in general

Citations

@inproceedings{LeCun2022APT,
    title   = {A Path Towards Autonomous Machine Intelligence},
    author  = {Yann LeCun and Courant},
    year    = {2022},
    url     = {https://api.semanticscholar.org/CorpusID:251881108}
}

@misc{maes2026leworldmodelstableendtoendjointembedding,
    title   = {LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels},
    author  = {Lucas Maes and Quentin Le Lidec and Damien Scieur and Yann LeCun and Randall Balestriero},
    year    = {2026},
    eprint  = {2603.19312},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2603.19312},
}

@misc{teoh2026nextlatentpredictiontransformerslearn,
    title   = {Next-Latent Prediction Transformers Learn Compact World Models},
    author  = {Jayden Teoh and Manan Tomar and Kwangjun Ahn and Edward S. Hu and Tim Pearce and Pratyusha Sharma and Akshay Krishnamurthy and Riashat Islam and Alex Lamb and John Langford},
    year    = {2026},
    eprint  = {2511.05963},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2511.05963},
}

@inproceedings{saravanos2026learningtooptimize,
    title   = {Learning-to-Optimize via Deep Unfolded Flows},
    author  = {Augustinos D Saravanos and Oswin So and H M Sabbir Ahmad and Chuchu Fan},
    booktitle = {Forty-third International Conference on Machine Learning},
    year    = {2026},
    url     = {https://openreview.net/forum?id=ZOtOq7hxJP}
}