Randall Balestriero
- Papers
- 9
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Authored papers
9stable-worldmodel-v1: Reproducible World Modeling Research and Evaluation
arXiv 2026
Causal-JEPA: Learning World Models through Object-Level Latent Masking
arXiv 2026
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
arXiv 2026
stable-pretraining-v1: Foundation Model Research Made Simple
arXiv 2025
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
arXiv 2025
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
arXiv 2024
Deep Networks Always Grok and Here is Why
arXiv 2024
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
CVPR 2023 1
Max-Affine Spline Insights Into Deep Network Pruning
max-affine-spline-insights-into-deep-network
Affiliations
Frequent co-authors
10from 9 papers
Lucas Maes
Yann LeCun
VP & Chief AI Scientist
Quentin Le Lidec
Richard Baraniuk
Ahmed Imtiaz Humayun
Damien Scieur
Caner Hazirbas
Dan Haramati
Diane Bouchacourt
Guha Balakrishnan