Project for Yann Lecun's Deep Learning class. In this project, we train a JEPA world model on a set of pre-collected trajectories from a toy environment involving an agent in two rooms.
-
Updated
Jan 11, 2025 - Jupyter Notebook
Project for Yann Lecun's Deep Learning class. In this project, we train a JEPA world model on a set of pre-collected trajectories from a toy environment involving an agent in two rooms.
Heuristics-free self-supervised representation learning for time series with SIGReg (LeJEPA). Disentangles time-axis collapse, positional structure, and representation richness across PatchTST, TCN, and bag-of-patches encoders. Reproducible, seeded, significance-tested.
LLaVA/CLIP representation probes and a Kaiming-initialized non-exclusive EBR reproduction
[NeurIPS 2024] Elliptical Attention
Add a description, image, and links to the representation-collapse topic page so that developers can more easily learn about it.
To associate your repository with the representation-collapse topic, visit your repo's landing page and select "manage topics."