Yanzhou Jin
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126
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ML×1Robotics×1
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2026
Temporally Centered SIGReg Improves Multi-Task LeWorldModel Learning: From Analysis to Method
The paper shows that applying Sketched Isotropic Gaussian Regularizer (SIGReg) to temporally centered residuals instead of the latent marginal distribution improves multi-task world-model learning and achieves better downstream performance.
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Papers
cs.LGcs.ROEmpiricalRecentJul 29, 2026
Temporally Centered SIGReg Improves Multi-Task LeWorldModel Learning: From Analysis to Method
Chang Liu, Fei Suo, Yanzhou Jin, Yusuke Iwasawa +2 more
The paper shows that applying Sketched Isotropic Gaussian Regularizer (SIGReg) to temporally centered residuals instead of the latent marginal distribution improves multi-task world-model learning and…
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