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Code Mala Tang
Code Mala Tang
Apr 22, 2026 · Artificial Intelligence

How LeWorldModel Achieves Stable End‑to‑End World Modeling with Just Two Losses

LeWorldModel, a 2026 JEPA‑based world model introduced by Yann LeCun and collaborators, solves representation collapse with a minimalist two‑loss objective, delivering a 15‑million‑parameter system that trains in hours, runs 48× faster than prior baselines, and reaches near‑SOTA performance on robot control benchmarks.

JEPARoboticsdeep learning
0 likes · 6 min read
How LeWorldModel Achieves Stable End‑to‑End World Modeling with Just Two Losses
HyperAI Super Neural
HyperAI Super Neural
Sep 15, 2025 · Artificial Intelligence

scSiameseClu Sets New SOTA on Unsupervised Single‑Cell Clustering Across 7 Datasets

The paper introduces scSiameseClu, a Siamese clustering framework that combines dual augmentation, siamese fusion, and optimal‑transport clustering to overcome representation collapse in scRNA‑seq data, and demonstrates state‑of‑the‑art performance on seven diverse single‑cell datasets and downstream annotation tasks.

Siamese networkclusteringgraph neural network
0 likes · 11 min read
scSiameseClu Sets New SOTA on Unsupervised Single‑Cell Clustering Across 7 Datasets