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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3875113150 · Jun 202019922001200920172026
48 results for non-parabolic ends

The study shows ends of shrinking gradient ρρ-Einstein solitons are non-parabolic.

problem Characterizing the ends of shrinking gradient ρρ-Einstein solitons.
method Proving non-parabolicity of ends and connectivity at infinity for specific conditions.
result Gradient shrinking ρρ-Einstein solitons have non-parabolic ends under certain conditions.

Let MmM^m, with m3m\geq 3, be an mm-dimensional complete noncompact manifold isometrically immersed in a Hadamard manifold Mˉ\bar M. Assume that the mean curvature vector has finite LpL^p-norm, for some 2pm2\leq p\leq m. We prove that each end of MM must either have finite volume or be non-parabolic.

2012-01-30abs ↗pdf ↗

Study of ends of complete gradient Schouten solitons, showing finitely many ends for shrinking and connected infinity for expanding ones.

problem Characterizing the ends of complete gradient Schouten solitons.
method Analysis of ends without additional assumptions, focusing on shrinking and expanding cases.
result Finitely many ends for shrinking Schouten solitons and connected infinity for expanding ones.

Defines non-parabolic curves in spatial hybrid space with applications.

problem Defining and analyzing non-parabolic spatial hybrid framed curves.
method Definition and proof of existence and uniqueness theorem for non-parabolic spatial hybrid framed curves.
result Existence and uniqueness theorem for non-parabolic spatial hybrid framed curves.

Finite graphs with specific curvature have limited harmonic functions and ends.

problem Graphs with nonnegative curvature outside a finite subset.
method Introducing discrete Gromov-Hausdorff convergence to study bounded harmonic functions.
result The space of bounded harmonic functions is finite dimensional, and the number of non-parabolic ends is finite.

We give a topological interpretation of the space of L2L^2-harmonic forms on Manifold with flat ends. It is an answer to an old question of J. Dodziuk. We also give a Chern-Gauss-Bonnet formula for the L2L^2-Euler characteristic of some of these Manifolds. These results are applications of general theorems on complete …

2001-11-07abs ↗pdf ↗

Using the monotonicity formulas of Colding and Minicozzi, we prove that on any complete, non-parabolic Riemannian manifold (M3,g)(M^3, g) with non-negative Ricci curvature, the asymptotic weighted scaling invariant integral of scalar curvature has an explicit bound in form of asymptotic volume ratio.

2019-02-24abs ↗pdf ↗

Sharp gradient estimate for Green functions on non-parabolic RCD(0,N) spaces.

problem Analyzing the gradient of Green functions on non-parabolic RCD(0,N) spaces.
method Defining a smoothed distance function and proving a sharp upper bound for its gradient.
result The gradient of the smoothed distance function has a sharp upper bound and is sharp at points where the space is isomorphic to an RCD(N-2, N-1) space.

In this paper we show that the existence of a non-parabolic local cut point in the Bowditch boundary (G,P)\partial(G,\mathbb{P}) of a relatively hyperbolic group (G,P)(G,\mathbb{P}) implies that GG splits over a 22-ended subgroup. This theorem generalizes a theorem of Bowditch from the setting of hyperbolic groups to relat…

2017-08-09abs ↗pdf ↗

Cuspidal edges and swallowtails are typical non-degenerate singular points on wave fronts in the Euclidean 33-space. Their first fundamental forms belong to a class of positive semi-definite metrics called "Kossowski metrics". A point where a Kossowski metric is not positive definite is called a singular point or a se…

2017-10-09abs ↗pdf ↗

We study Kahler manifolds-with-boundary, not necessarily compact, with weakly pseudoconvex boundary, each component of which is compact. If such a manifold KK has l2l\ge2 boundary components (possibly l=l=\infty), then it has first betti number at least l1l-1, and the Levi form of any boundary component is zero. If $K…

2011-10-20abs ↗pdf ↗

Consider a three dimensional cusped spherical CR\mathrm{CR} manifold MM and suppose that the holonomy representation of π1(M)π_1(M) can be deformed in such a way that the peripheral holonomy is generated by a non-parabolic element. We prove that, in this case, there is a spherical CR\mathrm{CR} structure on some Dehn sur…

2015-09-15abs ↗pdf ↗

We construct a parabolic entire minimal graph SS over a finite topology complete Riemannian surface ΣΣ of curvature 1-1 and infinite area (thus of non-parabolic conformal type). The vertical projection of this graph yields a harmonic diffeomorphism from SS onto ΣΣ. The proof uses the theory of divergence lines to …

2016-07-18abs ↗pdf ↗

Simple proof that stable minimal hypersurfaces in R^4 are hyperplanes.

problem Proving stable minimal hypersurfaces in R^4 are hyperplanes.
method Using spectral Ricci curvature bounds and Green kernel estimates.
result Complete, two-sided stable minimal hypersurfaces in R^4 are hyperplanes.

We consider non-elementary representations of two generator free groups in PSL(2,C)PSL(2,\mathbb{C}), not necessarily discrete or free, G=<A,B>G = < A, B >. A word in AA and BB, W(A,B)W(A,B), is a palindrome if it reads the same forwards and backwards. A word in a free group is {\sl primitive} if it is part of a minimal generating …

2008-08-26abs ↗pdf ↗

Regularization is important for end-to-end speech models, since the models are highly flexible and easy to overfit. Data augmentation and dropout has been important for improving end-to-end models in other domains. However, they are relatively under explored for end-to-end speech models. Therefore, we investigate the e…

2017-12-19abs ↗pdf ↗

Develops Bayesian approach for end-to-end learning in stochastic optimization.

problem Stochastic optimization problems under uncertainty.
method Bayesian interpretation and new end-to-end learning algorithms.
result Improved decision maps for empirical risk minimization and distributionally robust optimization.

Study shows mapping class groups are one-ended for surfaces with at least one end.

problem Analyzing the number of ends in mapping class groups of surfaces.
method Proving the associated translatable curve graph is one-ended, quasi-isometric to the mapping class group.
result Mapping class groups are one-ended for surfaces with at least one end of discrete type.

End-to-end speech recognition system trained on GPUs and CPUs.

problem Building state-of-the-art speech recognition systems.
method Utilizes CPUs and GPUs for training, data augmentation, and neural network updates. Uses vocal tract length perturbation and acoustic simulator for data augmentation. Employed Horovod allreduce for training.
result Achieved 7.92% WER on proprietary English Bixby open domain test set using a Bidirectional Full Attention (BFA) model.

End-to-end autonomous driving models get better uncertainty estimates.

problem Uncertainty quantification for end-to-end autonomous driving models.
method Approximate inference for implicit copula neural linear model.
result Densities for steering angle are marginally calibrated.

This work proposes splitting deep neural networks into smaller sub-networks for faster and more efficient distillation.

problem Challenges in training deep neural networks, including local optima, gradient issues, and computational demands.
method Proposes a non-end-to-end distillation approach by splitting networks into smaller, independent sub-networks (neighbourhoods).
result Independent training of smaller sub-networks can speed up distillation and improve efficiency in various applications.

End-to-end learning refers to training a possibly complex learning system by applying gradient-based learning to the system as a whole. End-to-end learning system is specifically designed so that all modules are differentiable. In effect, not only a central learning machine, but also all "peripheral" modules like repre…

2017-04-26abs ↗pdf ↗

End-to-end autonomous driving perception learns latent features for better performance.

problem Current autonomous driving systems are complex and require human engineering.
method Sequential latent representation learning for end-to-end perception.
result End-to-end perception model solves detection, tracking, localization, and mapping problems.

Paper constructs a minimal surface with specific ends and curvature.

problem Constructing a minimal surface with specific topological and geometric properties.
method Weierstrass representation, elliptic functions, and solving the period problem.
result Existence of a complete immersed minimal surface of genus one with specified ends and total Gauss curvature.

Kauri is a novel unsupervised binary tree for clustering that outperforms existing methods.

problem Learning a tree end-to-end for clustering without labels is an open challenge.
method Greedy maximization of the kernel KMeans objective without centroids.
result Kauri often outperforms existing unsupervised clustering methods, especially with non-linear kernels.

End-to-end solution for recognizing handwritten numerals, avoiding traditional preprocessing steps.

problem Handwritten numeral string recognition with traditional preprocessing steps.
method YoLo-based model for automatic detection and recognition, avoiding heuristic-based preprocessing and segmentation.
result Proposed method reduces complexity and is a feasible end-to-end solution for numeral string recognition.

End-to-end audio recognition system improves accuracy.

problem Improving accuracy in auditory object recognition.
method Proposes an end-to-end deep neural network with an 'inception nucleus' to learn features from raw waveforms.
result Bests current state-of-the-art approaches by 10.4 percentage points on Urbansound8k dataset.

Derives an index formula for families of end-periodic Dirac operators.

problem Calculating the index of families of end-periodic Dirac operators.
method Using the renormalized Chern character and Fourier-Laplace transform of the Bismut superconnection.
result Establishes an index formula involving a new end-periodic eta form.