Local invertibility of higher order tensor transforms on compact manifolds.
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Local invertibility of ray transforms on convex manifolds.
The paper proves global invertibility for certain local diffeomorphisms and biholomorphisms in higher dimensions.
Electronic power inverters are capable of quickly delivering reactive power to maintain customer voltages within operating tolerances and to reduce system losses in distribution grids. This paper proposes a systematic and data-driven approach to determine reactive power inverter output as a function of local measuremen…
Consider a Riemannian manifold in dimension with strictly convex boundary. We prove the local invertibility, up to potential fields, of the geodesic ray transform on tensor fields of rank four near a boundary point. This problem is closely related with elastic \textit{qP}-wave tomography. Under the condition …
Deep neural networks are vulnerable to adversarial attacks and hard to interpret because of their black-box nature. The recently proposed invertible network is able to accurately reconstruct the inputs to a layer from its outputs, thus has the potential to unravel the black-box model. An invertible network classifier c…
The paper studies global invertibility of maps on Finsler manifolds.
Maps from metrics to Ricci curvature are locally invertible near Einstein manifolds.
Distribution grids are currently challenged by frequent voltage excursions induced by intermittent solar generation. Smart inverters have been advocated as a fast-responding means to regulate voltage and minimize ohmic losses. Since optimal inverter coordination may be computationally challenging and preset local contr…
New spectral sequences define knot invariants.
Study local moduli of Sasaki-Einstein metrics on specific polynomial links.
Global invertibility proven for orientation-preserving maps without homeomorphic extension.
We propose a new way of constructing invertible neural networks by combining simple building blocks with a novel set of composition rules. This leads to a rich set of invertible architectures, including those similar to ResNets. Inversion is achieved with a locally convergent iterative procedure that is parallelizable …
This work tackles exploding inverses in INNs, revealing and mitigating their numerical non-invertibility.
We endow the group of invertible Fourier integral operators on an open}manifold with the structure of an ILH Lie group. This is done by establishing such structures for the groups of invertible pseudodifferential operators and contact transformations on an open manifold of bounded geometry, and gluing those together vi…
Study horizontal discs in fat distributions, proving their existence.
We study locally compact metric spaces that enjoy various forms of homogeneity with respect to Möbius self-homeomorphisms. We investigate connections between such homogeneity and the combination of isometric homogeneity with invertibility. In particular, we provide a new characterization of snowflakes of boundaries of …
This paper solves the inversion problem for jump processes using Markovian projections.
A new model decouples global and local image representations without supervision.
In this paper we study the local magnetic ray transform of symmetric tensor fields up to rank two on a Riemannian manifold of dimension with boundary. In particular, we consider the magnetic ray transform of the combinations of tensors of different orders due to the nature of magnetic flows. We show that such …
We prove the local invertibility, up to potential fields, and stability of the geodesic X-ray transform on tensor fields of order 1 and 2 near a strictly convex boundary point, on manifolds with boundary of dimension n>=3. We also present an inversion formula. Under the condition that the manifold can be foliated with …
Characterizes the local diffeomorphism structure of the exponential in the set of skew-symmetric matrices.
We show that some curvature operators are locally invertible, in some weithted sobolev spaces, near the euclidian metric. (Nous montrons que certains opérateurs affines en la courbure de Ricci sont localement inversibles, dans des espaces de Sobolev à poids, au voisinage de la métrique euclidienne.)
We study two-dimensional stochastic differential equations (SDEs) of McKean--Vlasov type in which the conditional distribution of the second component of the solution given the first enters the equation for the first component of the solution. Such SDEs arise when one tries to invert the Markovian projection developed …
Let be a compact riemannian manifold without boundary., with parallel Rici curvature. We show that some operators, affine relatively to the Ricci curvature,are locally invertible, near the metric
New theory captures framing anomaly in gauge theory.
In this paper we consider the local X-ray transform for general flows. We extend the results on the local and global invertibility of the geodesic ray transform proved by Uhlmann and Vasy \cite{UV} to the X-ray transform for a general flow. The key improvement is that our argument for the ellipticity of the conjugated …
Under a convexity assumption on the boundary we solve a local inverse problem, namely we show that the geodesic X-ray transform can be inverted locally in a stable manner; one even has a reconstruction formula. We also show that under an assumption on the existence of a global foliation by strictly convex hypersurfaces…
For a ring , we denote by the free -module spanned by the isotopy classes of singular links in . Given two invertible elements , the HOMFLY-PT skein module of singular links in (relative to the triple ) is the quotient of by local rela…
In this paper, we propose a novel lower dimensional representation of a shape sequence. The proposed dimension reduction is invertible and computationally more efficient in comparison to other related works. Theoretically, the differential geometry tools such as moving frame and parallel transportation are successfully…
Let (M,g) be a complete noncompact riemannian manifold with bounded geometry and parallel Ricci curvature. We show that some operators, "affine" relatively to the Ricci curvature, are locally invertible, in some classical Sobolev spaces, near the metric g.
Mathematical conditions and practical computations for adversarial robustness measures are established.
Study on estimating invertible functions with minimax analysis.
Let be a smooth closed spin (resp. oriented and totally non-spin) manifold of dimension with fundamental group . It is stated, e.g. in [RS95], that admits a metric of positive scalar curvature (pscm) if its orientation class in (resp. ) lies in the subgroup consisting of elem…
Study of strongly invertible Legendrian links in contact 3-space.
It is widely believed that the success of deep convolutional networks is based on progressively discarding uninformative variability about the input with respect to the problem at hand. This is supported empirically by the difficulty of recovering images from their hidden representations, in most commonly used network …
We consider the problem of developing a method to reconstruct a potential from the partial data Dirichlet-to-Neumann map for the Schrödinger equation on a fixed admissible manifold . If the part of the boundary that is inaccessible for measurements satisfies a flatness condition in one directio…
Proves spectral sequence for real Heegaard Floer homology.
Study on invariant Seifert surfaces for strongly invertible knots, showing large gaps in genus.
We give a detailed microlocal study of X-ray transforms over geodesics-like families of curves with conjugate points of fold type. We show that the normal operator is the sum of a pseudodifferential operator and a Fourier integral operator. We compute the principal symbol of both operators and the canonical relation as…
Dirac operator invertibility proven for specific manifolds.
Table of symmetric diagrams for knots up to 10 crossings.
Study of Dirichlet minimizers on manifolds with boundary and their asymptotic behavior.
ISR creates analytical relationships from data via invertible maps.
Algorithm solves covariant exterior derivative equations in small regions.
We define a random-matrix ensemble given by the infinite-time covariance matrices of Ornstein-Uhlenbeck processes at different temperatures coupled by a Gaussian symmetric matrix. The spectral properties of this ensemble are shown to be in qualitative agreement with some stylized facts of financial markets. Through the…
CF-INNs can approximate any invertible function, resolving a long-standing problem.
This work presents a novel approach to train invertible linear layers by adding rank-one perturbations.