ViBR-WM: Visual Bayesian Regression for World Modeling

arXiv:2609.33844 · stat.ME, cs.CV, cs.LG · Submitted 2026-09-27 · Read on arXiv

stat.ME, cs.CV, cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Temporal Straightening — 44× in this paper
• World Model — 19× in this paper · explained in 7 episodes
• Adaptation — 12× in this paper · explained in 1 episode
• Embeddings — 8× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Adam — 4× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Bayesian Inference — 3× in this paper · explained in 5 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Principal Component Analysis (PCA) — 3× in this paper · explained in 4 episodes
• Uncertainty Quantification — 3× in this paper · explained in 8 episodes
• Active Regression — 2× in this paper · explained in 1 episode
• Empirical Coverage — 2× in this paper · explained in 2 episodes
• Latent Dynamics — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Joint-Embedding Predictive Architecture — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• System Identification — 1× in this paper · explained in 3 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

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