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Gated KalmaNet: conditioned test-time regression with bounded state

Maintained weighted key/value covariance statistics and solved regularized test-time regressions using Chebyshev iteration, adding adaptive regularization, input-dependent decay and chunk-wise kernels.

What is recorded here?

Maintained weighted key/value covariance statistics and solved regularized test-time regressions using Chebyshev iteration, adding adaptive regularization, input-dependent decay and chunk-wise kernels.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Kalman-inspired ridge optimality applies to the stated regression, not arbitrary language-model prediction. Finite solver iterations approximate the solution; conditioning, precision, state dimension and gating matter. Constant memory is in sequence length, not model width or batch size; inherited Kalman filtering, ridge regression and Chebyshev iteration are not claimed new.

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People and systems

Liangzu Peng; Aditya Chattopadhyay; Luca Zancato; Elvis Nunez; Wei Xia; Stefano Soatto

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Gated KalmaNet: conditioned test-time regression with bounded state

Maintained weighted key/value covariance statistics and solved regularized test-time regressions using Chebyshev iteration, adding adaptive regularization, input-dependent decay and chunk-wise kernels.

Scientific scope

Kalman-inspired ridge optimality applies to the stated regression, not arbitrary language-model prediction. Finite solver iterations approximate the solution; conditioning, precision, state dimension and gating matter. Constant memory is in sequence length, not model width or batch size; inherited Kalman filtering, ridge regression and Chebyshev iteration are not claimed new.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Liangzu Peng; Aditya Chattopadhyay; Luca Zancato; Elvis Nunez; Wei Xia; Stefano Soatto

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources