Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Inference
cs.LG, cs.CV, cs.RO
Submitted: 2026-07-06
Updated: 2026-10-10
Project page: https://corl-team.github.io/qantara
Terminology
Sources
- Is Conditional Generative Modeling all you need for Decision-Making?
- Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- RynnVLA-002: A Unified Vision-Language-Action and World Model
- WorldVLA: Towards Autoregressive Action World Model
- Value-guided action planning with JEPA world models
- World Models for Learning Dexterous Hand-Object Interactions from Human Videos
- OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
- Training Agents Inside of Scalable World Models
- TD-MPC2: Scalable, Robust World Models for Continuous Control
- Planning with Diffusion for Flexible Behavior Synthesis
- I$^2$SB: Image-to-Image Schr\"odinger Bridge
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- Causal-JEPA: Learning World Models through Object-Level Latent Masking
- OGBench: Benchmarking Offline Goal-Conditioned RL
- DeepMind Control Suite
- What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
- Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
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