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Training-Time Regularization for Inference-Time Monitoring-A Unified Framework for Self-Supervised World Models
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Training-Time Regularization for Inference-Time Monitoring-A Unified Framework for Self-Supervised World Models
Self-supervised world models have emerged as a powerful paradigm for learning environment dynamics from high-dimensional observations. The Sketched Isotropic Gaussian Regularizer (SIGReg) has recently enabled stable end-to-end training of Joint-Embedding Predictive Architectures (JEPAs) by pre...
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