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Siddarth Jain

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#machine learning Preprint Sep 2026

Sensing Which Modality Matters: Evidence-Gated Regularization for Robust VLA Policies

Evidence-Gated Regularization (EGR) is proposed, a modality-agnostic training objective that introduces zero inference-time overhead and derives a per-frame and per-sensor task-relevance signal to gate two state-conditional consistency objectives: invariance on low-evidence sensors, and single-sensor sufficiency on hig...

Yue Yang, D. Romeres, C. Hori et al. · 0 citations

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