الباحثون

James Anderson

المنشورات 2

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Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models

Leonardo F. Toso, Yann LeCun, James Anderson وآخرون · 2026

Robotic systems often exhibit unstable modes, along which small perturbations and disturbances can cause unbounded growth unless corrected through feedback. Controlling such systems from high-dimensional visual observations requires representations that preserve these modes. Joint-embedding predictive architectures (JE …

نسخة أولية وصول مفتوح

Byzantine-Robust Federated Representation Learning

We study federated learning (FL) with adversarial clients, where the goal is to minimize the average loss of the honest (non-adversarial) clients without knowing their identity. Under heterogeneity, a single shared model parameter is statistically inappropriate: it cannot capture the distinct data-generating processes …

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