We have 3 of 98 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Hold-out Digits experiments show that retaining the input mean or correcting the output bias improves median product error over round-to-nearest in all four tested bit-width and calibration-size settings.
The problem of minimizing error in quantized matrix multiplication is considered and the full-gauge optimum is characterized and the cost of preserving row and column indices is quantized.
An exact finite-dimensional identity is derived for the expected squared product error under independent, zero-mean entrywise errors with known variance fields; it holds exactly for non-overloading subtractive dither and for independent stochastic rounding, and is empirically assess deterministic round-to-nearest (RTN)...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
