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Randall Balestriero

ICML 2026×7可解释性多模态强化学习与后训练推理长上下文与架构

新星分资深

38

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核心/参与32

方向广度10

合作网络12

0 一作 · 7 篇 · ICML 2026

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2026 顶会论文

7

作者位次 #9/10ICML 2026Poster· Deep Learning / Generative Models and Autoencoders

VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation

Hongyang Du · Hongyang Du · Xiaoyan Cong · Runhao Li · Jingcheng Ni · Aman Agarwal · Zeqi Zhou · Zekun Li · Randall Balestriero · Yue Wang

多模态强化学习与后训练OpenReview

作者位次 #3/8ICML 2026Poster

Interpreting Physics in Video World Models

Sonia Joseph · Quentin Garrido · Randall Balestriero · Matthew Kowal · Thomas Fel · Shahab Bakhtiari · Blake Richards · Michael Rabbat

可解释性多模态OpenReview

作者位次 #4/7ICML 2026Poster· Deep Learning / Other Representation Learning

Temporal Straightening for Latent Planning

Ying Wang · Oumayma Bounou · Gaoyue Zhou · Randall Balestriero · Tim G. J. Rudner · Yann LeCun · Mengye Ren

推理可解释性OpenReview

作者位次 #4/5ICML 2026Poster· Deep Learning / Self-Supervised Learning

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

Yilun Kuang · Yash Dagade · Tim G. J. Rudner · Randall Balestriero · Yann LeCun

可解释性长上下文与架构OpenReview

作者位次 #3/3ICML 2026Poster

Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA

Hai Huang · Yann LeCun · Randall Balestriero

效率与系统OpenReview

作者位次 #5/5ICML 2026Poster· Deep Learning / Self-Supervised Learning

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

Heejeong Nam · Quentin Le Lidec · Lucas Maes · Yann LeCun · Randall Balestriero

作者位次 #2/3ICML 2026Poster

Joint-Embedding Predictive Learning of Latent Market States in U.S. Equities

Simon Mahns · Randall Balestriero · Mahmoud Assran

常见合作者

YLYann LeCun×4 TRTim G. J. Rudner×2 HDHongyang Du HDHongyang Du XCXiaoyan Cong RLRunhao Li JNJingcheng Ni AAAman Agarwal ZZZeqi Zhou ZLZekun Li YWYue Wang SJSonia Joseph