noise variance
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Linear Transformers are Versatile In-Context Learners
The transformer architecture (V aswani et al., 2017) has revolutionized the field of machine learning,
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Phasetransitionsinwhenfeedbackisuseful
Weapplythisnovelformulation of inference as controlto the canonical problem of inferring the hidden scalar state of a linear dynamical system with Gaussian variability.