Pinned Repositories
PROTES
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
fpcross
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
inbima_scopus_lite
qttpdesolver
temscirep
teneva
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
teneva_bm
teneva_jax
TranFighterPro
ttopt
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
AndreiChertkov's Repositories
AndreiChertkov/teneva
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
AndreiChertkov/ttopt
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
AndreiChertkov/fpcross
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
AndreiChertkov/temscirep
AndreiChertkov/teneva_jax
AndreiChertkov/teneva_bm
AndreiChertkov/TranFighterPro
AndreiChertkov/inbima_scopus_lite
AndreiChertkov/qttpdesolver
AndreiChertkov/teneva_opti
AndreiChertkov/tetradat
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
AndreiChertkov/optima_tt
Numerical experiments for Optima-TT method from teneva python package. This method finds items which relate to min and max elements of the tensor in the tensor train (TT) format.
AndreiChertkov/teneva_ht_jax
AndreiChertkov/teneva_research_anova_and_als
AndreiChertkov/teneva_research_optima_tt
AndreiChertkov/tetradatex