We study codimension one holomorphic distributions on the projective three-space, analyzing the properties of their singular schemes and tangent sheaves. In particular, we provide a classification of codimension one distributions of degree at most 2 with locally free tangent sheaves, and show that codimension one distr…
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Study minimal rational curves on complex manifolds with isotropic VMRT.
A theorem proves integrability of Fréchet tangent distributions.
New privacy framework tailored to specific data distributions.
We consider bundle homomorphisms between tangent distributions and vector bundles of the same rank. We study the conditions for fundamental singularities when the bundle homomorphism is induced from a Morin map. When the tangent distribution is the contact structure, we characterize singularities of the bundle homomorp…
The present paper unifies some aspects concerning the vertical Liouville distributions on the tangent (cotangent) bundle of a Finsler (Cartan) space in the context of generalized geometry. More exactly, we consider the big-tangent manifold associated to a Finsler space and of its -du…
We continue the program of structural differential geometry that begins with the notion of a tangent category, an axiomatization of structural aspects of the tangent functor on the category of smooth manifolds. In classical geometry, having an affine structure on a manifold is equivalent to having a flat torsion-free c…
Geodesics of the same type on curved surfaces are randomly distributed.
In this paper we study -tangent affine hyperspheres, where is the canonical para-complex structure on . The main purpose of this paper is to give a classification of -tangent affine hyperspheres of an arbitrary dimension with an involutive distribution $\…
The paper examines stability of ReLU networks in tangent space and activation regions.
A subbundle of variable dimension inside the tangent bundle of a smooth manifold is called a smooth distribution if it is the pointwise span of a family of smooth vector fields. We prove that all such distributions are finitely generated, meaning that the family may be taken to be a finite collection. Further, we show …
We analyze the eigenvalue distribution of a neural network's kernel under specific scaling.
Neural Tangents is a library designed to enable research into infinite-width neural networks. It provides a high-level API for specifying complex and hierarchical neural network architectures. These networks can then be trained and evaluated either at finite-width as usual or in their infinite-width limit. Infinite-wid…
Analytic curves have infinite codimension of singular germs.
This study examines the practical equivalence of Laplace and neural tangent kernels.
We give an algebraic/geometric characterization of the classical pseudodifferential operators on a smooth manifold in terms of the tangent groupoid and its natural -action. Specifically, we show that a properly supported semiregular distribution on is the Schwartz kernel of a classical …
Ehresmann connections in tangent categories
We prove that the horizontal and vertical distributions of the tangent bundle with the Sasaki metric are isocline, the distributions given by the kernels of the horizontal and vertical lifts of the contact form from the Heisenberg manifold to are not totally geodesic, and the distributions $F…
It is well known that a k-dimensional smooth surface in a Euclidean space cannot be tangent to a non-involutive distribution of k-dimensional planes. In this paper we discuss the extension of this statement to weaker notions of surfaces, namely integral and normal currents. We find out that integral currents behave to …
In this note we announce some results, due to appear in [2], [3], on the structure of integral and normal currents, and their relation to Frobenius theorem. In particular we show that an integral current cannot be tangent to a distribution of planes which is nowhere involutive (Theorem 3.6), and that a normal current w…
The paper extends distributions by singular curves, revealing structural equivalences.
Abstract reviews distributions and subbundles in differential geometry.
In this paper, we theoretically prove that the deep ReLU neural networks do not lie in spurious local minima in the loss landscape under the Neural Tangent Kernel (NTK) regime, that is, in the gradient descent training dynamics of the deep ReLU neural networks whose parameters are initialized by a normal distribution i…
We study conditions for the integrability of the distribution defined on a regular Poisson manifold as the orthogonal complement (with respect to some (pseudo)-Riemannian metric) to the tangent spaces of the leaves of a symplectic foliation. Examples of integrability and non-integrability of this distribution are provi…
New construction shows VMRTs of unbendable curves can be Legendrian.
Bayesian deep ensembles improve prediction accuracy in various settings.
Geometric framework analyzes bias in variational inference for posterior functionals.
The paper introduces a differentially private method for optimization on Riemannian manifolds.
In this note, we consider a fixed vector field on and study the distribution of points which lie on the nodal set (of a random spherical harmonic) where is also tangent. We show that the expected value of the corresponding counting function is asymptotic to the eigenvalue with a leading coefficient that i…
This paper analyzes convergence of FL for neural networks using NTK.
We say that a distribution is harmonic if it is harmonic when considered as a section of a Grassmann bundle. We find new examples of harmonic distributions and show nonexistense of harmonic distrubutions on some Riemannian manifolds by two different approaches. Firstly, we lift distributions to the second tangent bundl…
The equitangent locus of a convex plane curve consists of the points from which the two tangent segments to the curve have equal length. The equitangent problem concerns the relation between the curve and its equitangent locus. An equitangent n-gon of a convex curve is a circumscribed n-gon whose vertices belong to the…
A method to fix radius distortion in generative models on curved spaces.
Study h-principles for non-integrable distributions on manifolds.
We analyze GANs using neural tangent kernels, revealing flaws and advancing understanding.
Given a smooth distribution of -dimensional planes along a smooth regular curve in , we consider the following problem: to find an -dimensional rank-one submanifold of , that is, an -ruled submanifold with constant tangent space along the rulings, such …
Method improves simulation accuracy by mitigating distribution shift in hybrid systems.
New method guarantees global convergence in variational inference.
Constructs polyhedral chains with prescribed tangent plane distributions.
This paper analyses the parabolic geometries generated by a free 3-distribution in the tangent space of a manifold. It shows the existence of normal Fefferman constructions over CR and Lagrangian contact structures corresponding to holonomy reductions to SO(4,2) and SO(3,3), respectively. There is also a fascinating co…
A holomorphic Engel structure determines a flag of distributions . We construct examples of Engel structures on such that each of these distributions is hyperbolic in the sense that it has no tangent copies of . We also construct two infinite…
For a compact riemannian manifold of negative curvature, the geodesic foliation of its unit tangent bundle is independent of the negatively curved metric, up to Holder bicontinuous homeomorphism. However, the riemannian metric defines a natural transverse measure to this foliation, the Liouville transverse measure, whi…
We determine a 2-codimensional CR-structure on the slit tangent bundle of a Finsler manifold by imposing a condition regarding the almost complex structure associated to when restricted to the structural distribution of a framed -structure. This condition is satisfied when is of scal…
Study of singular curves in a specific type of hyperbolic distribution.
Paper classifies structures on 5D manifolds with specific rank and conditions.
This paper introduces tangent display maps to simplify tangent category theory.
In this paper, we propose an auto-encoder based generative neural network model whose encoder compresses the inputs into vectors in the tangent space of a special Lie group manifold: upper triangular positive definite affine transform matrices (UTDATs). UTDATs are representations of Gaussian distributions and can strai…
Paper constructs infinitely many tangent functors on diffeological spaces.