Research author

Randall Balestriero

11 AI research papers in the One9Founders library, with summaries and links to original sources.

Papers by Randall Balestriero

LocaLeJEPA: Maximum Entropy Representations under Geometric Priors

Kartik Tandon, Alessio Borgi, Pavel Snopov, et al.

AnyGoal: On World Model Generalization Beyond Expert Rollouts

Heejeong Nam, Divyat Mahajan, Quentin Le Lidec, et al.

H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning

Wancong Zhang, Basile Terver, Michael Rabbat, et al.

Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization

Andy Zeyi Liu, Haoran Sun, Lucas Baker, et al.

LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics

Lukas Kuhn, Lucas Maes, Giuseppe Serra, et al.

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning

Alexander Chemeris, Ming Jin, Randall Balestriero

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations

Alexander Chemeris, Ming Jin, Randall Balestriero

Latent Actions from Factorized Transition Effects under Agent Ambiguity

Heejeong Nam, Chandradithya S Jonnalagadda, Harshit Aggarwal, et al.

SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors

Pratyaksh Rao, Wancong Zhang, Randall Balestriero, et al.

When to Align, When to Predict: A Phase Diagram for Multimodal Learning

Ilay Kamai, Hugues Van Assel, Aviv Regev, et al.

Hierarchical Planning with Latent World Models

Wancong Zhang, Basile Terver, Artem Zholus, et al.

Randall Balestriero — AI Research Papers | One9Founders