5 papers
Comparing BFGS and OGR for Second-Order Optimization
Adrian Przybysz, Mikołaj Kołek, Franciszek Sobota +1
Estimating the Hessian matrix, especially for neural network training, is a challenging problem due to high dimensionality and cost. In this work, we compare the classical Sherman-…
Linear cost mutual information estimation and independence test of similar performance as HSIC
Jarek Duda, Jagoda Bracha, Adrian Przybysz
Evaluation of statistical dependencies between two data samples is a basic problem of data science/machine learning, and HSIC (Hilbert-Schmidt Information Criterion)~\cite{HSIC} is…
Improving KAN with CDF normalization to quantiles
Jakub Strawa, Jarek Duda
Data normalization is crucial in machine learning, usually performed by subtracting the mean and dividing by standard deviation, or by rescaling to a fixed range. In copula theory,…
3-SAT solver for two-way quantum computers
Jarek Duda
While quantum computers assume existence of state preparation process , CPT symmetry of physics says that performing such process in CPT symmetry perspective, e.g. rever…
No-cloning theorem for 2WQC and postselection
Mah Noor, Jarek Duda
Two-way quantum computers (2WQC) are proposed extension of standard 1WQC: adding conjugated state preparation operation similar to postselection $|0\ra \langle 0|$, by…