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Learning sums of powers of low-degree polynomials in the non-degenerate case
We develop algorithms for writing a polynomial as sums of powers of low degree
polynomials in the non-degenerate case. This problem generalizes symmetric tensor …
polynomials in the non-degenerate case. This problem generalizes symmetric tensor …
Hitting sets and reconstruction for dense orbits in vp_ {e} and ΣΠΣ circuits
D Medini, A Shpilka - 36th Computational Complexity …, 2021 - drops.dagstuhl.de
In this paper we study polynomials in VP_ {e}(polynomial-sized formulas) and in ΣΠΣ
(polynomial-size depth-3 circuits) whose orbits, under the action of the affine group GL^{aff} …
(polynomial-size depth-3 circuits) whose orbits, under the action of the affine group GL^{aff} …
Reconstruction of non-degenerate homogeneous depth three circuits
N Kayal, C Saha - Proceedings of the 51st Annual ACM SIGACT …, 2019 - dl.acm.org
A homogeneous depth three circuit C computes a polynomial f= T1+ T2+...+ Ts, where each
T i is a product of d linear forms in n variables over some underlying field F. Given black-box …
T i is a product of d linear forms in n variables over some underlying field F. Given black-box …
Reconstruction algorithms for low-rank tensors and depth-3 multilinear circuits
We give new and efficient black-box reconstruction algorithms for some classes of depth-3
arithmetic circuits. As a consequence, we obtain the first efficient algorithm for computing the …
arithmetic circuits. As a consequence, we obtain the first efficient algorithm for computing the …
Reconstruction of full rank algebraic branching programs
An algebraic branching program (ABP) A can be modelled as a product expression X 1amp;
middot; X 2… Xd, where X 1 and Xd are 1× w and w× 1 matrices, respectively, and every …
middot; X 2… Xd, where X 1 and Xd are 1× w and w× 1 matrices, respectively, and every …
NP-hardness of testing equivalence to sparse polynomials and to constant-support polynomials
An $ s $-sparse polynomial has at most $ s $ monomials with nonzero coefficients. The
Equivalence Testing problem for sparse polynomials (ETsparse) asks to decide if a given …
Equivalence Testing problem for sparse polynomials (ETsparse) asks to decide if a given …
Implementing geometric complexity theory: On the separation of orbit closures via symmetries
C Ikenmeyer, U Kandasamy - Proceedings of the 52nd Annual ACM …, 2020 - dl.acm.org
Understanding the difference between group orbits and their closures is a key difficulty in
geometric complexity theory (GCT): While the GCT program is set up to separate certain …
geometric complexity theory (GCT): While the GCT program is set up to separate certain …
Determinant equivalence test over finite fields and over Q
The determinant polynomial Det_n (x) of degree n is the determinant of anxn matrix of formal
variables. A polynomial f is equivalent to Det_n (x) over a field F if there exists a A in GL (n …
variables. A polynomial f is equivalent to Det_n (x) over a field F if there exists a A in GL (n …
Learning generalized depth three arithmetic circuits in the non-degenerate case
V Bhargava, A Garg, N Kayal… - … and Techniques (APPROX …, 2022 - drops.dagstuhl.de
Consider a homogeneous degree d polynomial f= T₁+⋯+ T_s, T_i= g_i (𝓁_ {i, 1},…, 𝓁_ {i,
m}) where g_i's are homogeneous m-variate degree d polynomials and 𝓁_ {i, j}'s are linear …
m}) where g_i's are homogeneous m-variate degree d polynomials and 𝓁_ {i, j}'s are linear …
Equivalence test for read-once arithmetic formulas
We study the polynomial equivalence problem for orbits of read-once arithmetic formulas
(ROFs). Read-once formulas have received considerable attention in both algebraic and …
(ROFs). Read-once formulas have received considerable attention in both algebraic and …