GOPO optimizes large models in Hilbert space, avoiding Kullback-Leibler's curvature.
arXiv research
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We study the relations between the quaternion -type group and the boundary of the unit ball on two dimensional quaternionic space. The orthogonal projection of the space of square integrable functions defined on quaternion -type group into its subspace of boundary values of -holomorphic functions is consider. …
The paper creates a deformation retraction for homeomorphisms of the projective plane.
Paper derives local Plücker formulas for special orthogonal groups.
New method constructs non-arithmetic hyperbolic orbifolds from complex arithmetic ball quotients.
Formula for Heisenberg group surface areas derived.
Paper links set derivatives to its orthogonal projections.
We study a notion of convex cocompactness for discrete subgroups of the projective general linear group acting (not necessarily irreducibly) on real projective space, and give various characterizations. A convex cocompact group in this sense need not be word hyperbolic, but we show that it still has some of the good pr…
New Zoll families of minimal spheres found in spheres and projective spaces.
We prove that the set of orthogonal separable coordinates on an arbitrary (pseudo-)Riemannian manifold carries a natural structure of a projective variety, equipped with an action of the isometry group. This leads us to propose a new, algebraic geometric approach to the classification of orthogonal separable coordinate…
NS-RGS improves orthogonal group synchronization with faster convergence.
We establish Marstrand-type projection theorems for orthogonal projections along geodesics onto m-dimensional subspaces of hyperbolic -space by a geometric argument. Moreover, we obtain a Besicovitch-Federer type characterization of purely unrectifiable sets in terms of these hyperbolic orthogonal projections.
We construct a decomposition of the identity operator on a Riemannian manifold as a sum of smooth orthogonal projections subordinate to an open cover of . This extends a decomposition of the real line by smooth orthogonal projection due to Coifman, Meyer and Auscher, Weiss, Wickerhauser, and a similar decomposit…
Paper addresses group synchronization with incomplete measurements and proves linear convergence of GPM.
We solve the equivalence problem for the orthogonally separable webs on the three-sphere under the action of the isometry group. This continues a classical project initiated by Olevsky in which he solved the corresponding canonical forms problem. The solution to the equivalence problem together with the results by Olev…
A complex orthogonal (geometric) structure on a complex manifold is a geometric structure locally modelled on a non-degenerate quadric. One of the first examples of such a structure on a compact manifold of dimension three was constructed by Guillot. In this paper, we show that the same manifold carries a family of uni…
Principal component analysis (PCA) is an unsupervised method for learning low-dimensional features with orthogonal projections. Multilinear PCA methods extend PCA to deal with multidimensional data (tensors) directly via tensor-to-tensor projection or tensor-to-vector projection (TVP). However, under the TVP setting, i…
DeTurck and Yang have shown that in the neighbourhood of every point of a -dimensional Riemannian manifold, there exists a system of orthogonal coordinates (that is, whith respect to which the metric has diagonal form). We show that this property does not generalize to higher dimensions. In particular, the complex p…
Given a complex structure on a real (finite or infinite dimensional) Hilbert space , we study the geometry of the Lagrangian Grassmannian of , i.e. the set of closed linear subspaces such that The complex unitary group , consisting of the elements of the orthogona…
We determine the expected curvature polynomial of random real projective varieties given as the zero set of independent random polynomials with Gaussian distribution, whose distribution is invariant under the action of the orthogonal group. In particular, the expected Euler characteristic of such random real projective…
The paper studies a special Grassmannian space and shows it's an orbit of a unitary group.
Introduces new curvature concept for Kähler manifolds.
The use of orthogonal projections on high-dimensional input and target data in learning frameworks is studied. First, we investigate the relations between two standard objectives in dimension reduction, preservation of variance and of pairwise relative distances. Investigations of their asymptotic correlation as well a…
Unified framework for multi-view learning with orthogonal projections.
Study isotropy groups for complex orthogonal and skew-symmetric matrices.
The Hardy space H^2(R) for the upper half plane together with a unimodular function group representation u(λ) = \exp(i(λ_1ψ_1 + ... + λ_nψ_n)) for λin R^n, gives rise to a manifold M of orthogonal projections for the subspaces u(λ)H^2(R) of L^2(R). For classes of admissible functions ψ_i the strong operator topology cl…
New findings on Kähler manifolds restrict orthogonal coordinates existence.
For positive integers and let be the projective indefinite special-orthogonal group of signature . We study counting problems in the Riemannian symmetric space of and in the pseudo-Riemannian hyperbolic space . Let be a totally geodesic …
Trajectories of light rays in a static spacetime are described by unparametrised geodesics of the Riemannian optical metric associated with the Lorentzian spacetime metric. We investigate the uniqueness of this structure and demonstrate that two different observers, moving relative to one another, who both see the univ…
In this article, we study Einstein Kropina metrics on Lie groups and homogeneous spaces. We give a method to construct Einstein Kropina metrics on Lie groups. As an example of this method, a family of non-Riemannian Einstein Kropina metrics on the special orthogonal group is given. Then, we classify all left in…
In this paper known results of symmetric orthogonality, as introduced by G. Birkhoff, and non-expansive nearest point projections are extended from the linear to the metric setting. If the space has non-positive curvature in the sense Busemann then it is shown that those concepts are actually equivalent. In the end it …
Given a polarized complex manifold, projection of a torus-equivariant test configuration to holomorphic vector fields was introduced by G. Székelyhidi, as the limit of the associated -actions. We show that there actually holds the moment convergence of the weight distributions. Our analytic approach at th…
Synthetic construction of Hopf fibration in 4D space.
Method constructs orthogonal curvilinear coordinates in constant curvature spaces.
Introduces MSW distances to improve SW metrics.
Formula for Laplace-Beltrami on orthogonal group in Euclidean coords.
We address the problem of defining a group sparse formulation for Principal Components Analysis (PCA) - or its equivalent formulations as Low Rank approximation or Dictionary Learning problems - which achieves a compromise between maximizing the variance explained by the components and promoting sparsity of the loading…
The paper studies geometric properties of Grassman manifolds within Euclidean spaces.
A Lie group is called orthogonal if it carries a bi-invariant pseudo Riemannian metric. Oscillator Lie groups constitutes a subclass of the class of orthogonal Lie groups. In this paper, we determine the Lie bialgebra structures and the solutions of the classical Yang-Baxter equation on a generic class of oscillator Li…
Using twistor methods, we explicitly construct all local forms of four--dimensional real analytic neutral signature anti--self--dual conformal structures with a null conformal Killing vector. We show that is foliated by anti-self-dual null surfaces, and the two-dimensional leaf space inherits a natural pr…
Soft-Radial Projection solves gradient saturation in constrained deep learning.
Let X be a smooth complex projective curve and S a finite subset of X. We show that an orthogonal or symplectic parabolic Higgs bundle on X with parabolic structure over S admits a Hermitian-Einstein connection if and only if it is polystable.
This paper considers the fundamental problem of learning a complete (orthogonal) dictionary from samples of sparsely generated signals. Most existing methods solve the dictionary (and sparse representations) based on heuristic algorithms, usually without theoretical guarantees for either optimality or complexity. The r…
Anosov representations of word hyperbolic groups into higher-rank semisimple Lie groups are representations with finite kernel and discrete image that have strong analogies with convex cocompact representations into rank-one Lie groups. However, the most naive analogy fails: generically, Anosov representations do not a…
We strongly develop the relationship between complex hyperbolic geometry and arithmetic counting or equidistribution applications, that arises from the action of arithmetic groups on complex hyperbolic spaces, especially in dimension . We prove a Mertens' formula for the integer points over a quadratic imaginary num…
Efficient diffusion model for symmetric manifolds reduces training and computation costs.
Let be a hypersurface in and let be an orthogonal projection in restricted to . We say that satisfies the corresponding to if there exists a constant such that for every measurable in the range…
Algorithm finds isotropy subgroups of orthogonal similarity on symmetric matrices.