This paper determines the flexible exponent for non-geometric 3-manifolds.
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Flexible approach for normal approximations in geometric and topological statistics.
Introduces a new geometric method for optimal experimental design.
In this paper we study geometric, algebraic, and computational aspects of flexibility and infinitesimal flexibility of Kokotsakis meshes. A Kokotsakis mesh is a mesh that consists of a face in the middle and a certain band of faces attached to the middle face by its perimeter. In particular any 3x3-mesh made of quadran…
We show that surface groups are flexibly stable in permutations. This is the first non-trivial example of a non-amenable flexibly stable group. Our method is purely geometric and relies on an analysis of branched covers of hyperbolic surfaces. Along the way we establish a quantitative variant of the LERF property for s…
We describe the cohomology ring of the moduli space of a flexible polygon in geometrically meaningful terms. We propose two presentations, both are computation friendly: there are simple rules for cup product.
New bounds on mapping degrees for geometric 3-manifolds.
Characterizes geometric actions on graphs with flexible stabilizers.
This paper concerns the questions of flexibility and rigidity of solutions to the Monge-Ampère equation which arises as a natural geometrical constraint in prestrained nonlinear elasticity. In particular, we focus on anomalous i.e. "flexible" weak solutions that can be constructed through methods of convex integration …
Given a flexible -gon with generic side lengths, the moduli space of its configurations in as well as in is a smooth manifold. It is equipped with \textit{tautological} line bundles whose definition is motivated by M. Kontsevich's tautological bundles over . We st…
We explain a connection between the algebraic and geometric properties of groups of contact transformations, open book decompositions, and flexible Legendrian embeddings. The main result is that, if a closed contact manifold has a supporting open book whose pages are flexible Weinstein manifolds, then the conn…
Geometric families of low-rank covariances improve flexibility and tractability in high dimensions.
New method for flexible tubes and structures, enabling rigid-foldability.
Quantum neural networks need both data-dependent and trainable unitaries for effective geometric deformation.
Groups of importance in group theory have flexible stability properties.
We solve the Plateau problem for marginally outer trapped surfaces in general Cauchy data sets. We employ the Perron method and tools from geometric measure theory to force and control a blow-up of Jang's equation. Substantial new geometric insights regarding the lower order properties of marginally outer trapped surfa…
We prove estimates interpolating the Schwarz Lemmata of Royden-Yau and the ones recently established by the author. These more flexible estimates provide additional information on (algebraic) geometric aspects of compact Kähler manifolds with nonnegative holomorphic sectional curvature, nonnegative $\Ric_\ell$ or posit…
The Weierstrass representation for minimal surfaces in provides a flexible method for constructing minimal surfaces of arbitrary genus. The topological limitations of minimal surfaces interfere with this providing a more general geometric modeling tool. Minimal surfaces lie in the larger class of harmoni…
Consider a smooth closed surface of fixed genus with a hyperbolic metric of total area . In this article, we study the behavior of geometric and dynamical characteristics (e.g., diameter, Laplace spectrum, Gaussian curvature and entropies) of nonpositively curved smooth metrics with total area …
Randomized control methods improve asset pricing and performance analysis.
Geometric approach combines asset returns and investor views for better portfolio optimization.
We propose a flexible convex relaxation for the phase retrieval problem that operates in the natural domain of the signal. Therefore, we avoid the prohibitive computational cost associated with "lifting" and semidefinite programming (SDP) in methods such as PhaseLift and compete with recently developed non-convex techn…
Flexible spatial models improve predictive performance over nonstationary alternatives.
Proves small cancellation free products have geometric actions on CAT(0) cube complexes.
Deep learning models complex multivariate extremes using geometric shapes.
This paper summarizes closed-form relations for SE(3) maps and their derivatives.
Extends diffusion models to non-Euclidean spaces with geometric priors.
We give a general criterion for the Dirichlet problem at infinity (DPI) on a Cartan-Hadamard surface to be solvable, which we primarily use to give the best possible upper radial radial curvature bound for solvability of the DPI, but which is also flexible enough to accommodate flats. In particular, any (upper) radial …
Neural ODEs extended to manifolds for flexible sampling.
We study polygon spaces arising from planar configurations of necklaces with some of the beads fixed and some of the beads sliding freely. These spaces include configuration spaces of flexible polygons and some other natural polygon spaces. We characterise critical points of the oriented area function in geometric term…
Braid groups are an important and flexible tool used in several areas of science, such as Knot Theory (Alexander's theorem), Mathematical Physics (Yang-Baxter's equation) and Algebraic Geometry (monodromy invariants). In this note we will focus on their algebraic-geometric aspects, explaining how the representation the…
Proves upper bounds for heat kernels evolving on manifolds.
Motivated by the flexibility of biological neural networks whose connectivity structure changes significantly during their lifetime, we introduce the Unstructured Recursive Network (URN) and demonstrate that it can exhibit similar flexibility during training via gradient descent. We show empirically that many of the di…
Extends geometric approach to model non-stationary extremal dependence.
Paper introduces a new geometric homology theory and applies it to Gromov-Witten theory.
New framework reveals limits of flexible, periodic thin surfaces.
In this paper we define and study flexible links and flexible isotopy in projective space. Flexible links are meant to capture the topological properties of real algebraic links. We classify all flexible links up to flexible isotopy using Ekholms interpretation of Viros encomplexed writhe.
The authors characterize flexibility in power and energy markets considering time, spatiality, resource, and risk.
New inequalities for convex hypersurfaces in various spaces.
Study presents a twistor correspondence for specific geometric structures.
Generative models improve angular variable simulation in high dimensions.
Statistical modeling of spatiotemporal phenomena often requires selecting a covariance matrix from a covariance class. Yet standard parametric covariance families can be insufficiently flexible for practical applications, while non-parametric approaches may not easily allow certain kinds of prior knowledge to be incorp…
New inequality for odd-degree flexible curves using surface doubling.
New neural method calculates EMD for particle physics data.
Many open problems and important theorems in low-dimensional topology have been formulated as statements about certain 2--complexes called gropes. This paper describes a precise correspondence between embedded gropes in 4--manifolds and the failure of the Whitney move in terms of iterated `towers' of Whitney disks. The…
Learning workable representations of dynamical systems is becoming an increasingly important problem in a number of application areas. By leveraging recent work connecting deep neural networks to systems of differential equations, we propose \emph{variational integrator networks}, a class of neural network architecture…
Automates detection of fast-ramped flexibility events for DSOs.
Flexible surfaces found in complex projective and product spaces.