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References (46)

[1]
stable-pretraining-v1: Foundation Model Research Made Simple
2025Randall Balestriero, Hugues van Assel et al.
[2]
Object-Centric World Models for Causality-Aware Reinforcement Learning
2025Yosuke Nishimoto, Takashi Matsubara
[3]
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
2025Muthukumar Pandaram, Jakob J. Hollenstein et al.
[4]
Learning Interactive World Model for Object-Centric Reinforcement Learning
2025Fan Feng, Phillip Lippe et al.
[5]
Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
2025Xianhang Li, Chen Huang et al.
[6]
Towards Causal Representation Learning with Observable Sources as Auxiliaries
2025Kwonho Kim, Heejeong Nam et al.
[7]
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
2025Mahmoud Assran, Adrien Bardes et al.
[8]
FOCUS: object-centric world models for robotic manipulation
2025Stefano Ferraro, Pietro Mazzaglia et al.
[9]
Mastering diverse control tasks through world models
2025Danijar Hafner, J. Pašukonis et al.
[10]
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
2025Fida Mohammad Thoker, Letian Jiang et al.
[11]
Object-Centric Pretraining via Target Encoder Bootstrapping
2025Nikola Dukic, Tim Lebailly et al.
[12]
SPARTAN: A Sparse Transformer World Model Attending to What Matters
2024Anson Lei, Bernhard Scholkopf et al.
[13]
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
2024Gaoyue Zhou, Hengkai Pan et al.
[14]
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
2024Malte Mosbach, Jan Niklas Ewertz et al.
[15]
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting
2024Chen Tessler, Yunrong Guo et al.
[16]
Revisiting Feature Prediction for Learning Visual Representations from Video
2024Adrien Bardes, Q. Garrido et al.
[17]
Self-supervised Object-Centric Learning for Videos
2023Görkay Aydemir, Weidi Xie et al.
[18]
Vision Transformers Need Registers
2023Timothée Darcet, Maxime Oquab et al.
[19]
Motion-Guided Masking for Spatiotemporal Representation Learning
2023D. Fan, Jue Wang et al.
[20]
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
2023Andrii Zadaianchuk, Maximilian Seitzer et al.

Showing 20 of 46 references

Founder's Pitch

"C-JEPA offers an efficient object-centric world model enhancing visual question answering and agent control with latent interventions."

World ModelsScore: 9View PDF ↗

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0-10 scale

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1/4 signals

2.5

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3/4 signals

7.5

Series A Potential

4/4 signals

10

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