文件夹: Papers/World-Model/Architecture

2026年5月

Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics

2026年5月

Latent Video Prediction Learns Better World Models

2026年5月

Nano World Models: A Minimalist Implementation of Future Video Prediction

2026年5月

When Does LeJEPA Learn a World Model?

2026年3月

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

2026年3月

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

2026年2月

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

2026年2月

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

2026年2月

Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations

2025年12月

Value-guided action planning with JEPA world models

2025年11月

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

2025年10月

Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density

2025年6月

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

2025年2月

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

2024年12月

Video Representation Learning with Joint-Embedding Predictive Architectures

2024年3月

Learning and Leveraging World Models in Visual Representation Learning

2024年2月

Revisiting Feature Prediction for Learning Visual Representations from Video

2023年7月

MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

2023年6月

Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

2023年1月

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

2022年11月

Paper Notes

探索

文件夹: Papers/World-Model/Architecture

Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics

Latent Video Prediction Learns Better World Models

Nano World Models: A Minimalist Implementation of Future Video Prediction

When Does LeJEPA Learn a World Model?

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations

Value-guided action planning with JEPA world models

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Video Representation Learning with Joint-Embedding Predictive Architectures

Learning and Leveraging World Models in Visual Representation Learning

Revisiting Feature Prediction for Learning Visual Representations from Video

MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features

Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Joint Embedding Predictive Architectures Focus on Slow Features