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arXiv research

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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48 results for arbitrary translations

Total five different types of translation surfaces, based upon planarity of translating curves and the absolute figure, arise in a Galilean 3-space. Excepting the type in which both of translating curves are non-planar we obtain these surfaces with arbitrary constant Gaussian and mean curvature.

2017-02-02abs ↗pdf ↗

We generalize the notion of Zermelo navigation to arbitrary pseudo-Finsler metrics possibly defined in conic subsets. The translation of a pseudo-Finsler metric FF is a new pseudo-Finsler metric whose indicatrix is the translation of the indicatrix of FF by a vector field WW at each point, where WW is an arbitrary …

2014-12-01abs ↗pdf ↗

New algorithm handles bandit problems under translations and scales.

problem Adversarial multi-armed bandit problems with arbitrary translations and scales.
method Innovative online algorithm invariant to translations and scales, using universal prediction.
result Second-order regret bounds, unaffected by affine transformations of losses.

The study connects translation length to manifold structure, proving bounds and identifying finite types.

problem Understanding the structure of 3-manifolds via pseudo-Anosov mapping classes and their translation lengths.
method Proving bounds on translation lengths and constructing specific 3-manifolds from mapping tori.
result Finite set of 3-manifolds can be derived from pseudo-Anosov mapping classes with bounded translation length.

The paper calculates gap distributions for translation surfaces, focusing on the double heptagon.

problem Calculating gap distributions for translation surfaces.
method Describes a procedure to find winning holonomy vectors and applies it to the double heptagon.
result Explicitly computed gap distribution for the regular double heptagon translation surface.

UNSB uses neural Schrödinger Bridge to solve unpaired image-to-image translation.

problem Difficulties in unpaired image-to-image translation with diffusion models.
method Expresses SB problem as adversarial learning problems, incorporating advanced discriminators and regularization.
result Successfully solves various unpaired image-to-image translation tasks.

We prove that any translating soliton for the mean curvature flow which is noncollapsed and uniformly 2-convex must be the rotationally symmetric bowl soliton. In particular, this proves a conjecture of White and Wang, in the 2-convex case in arbitrary dimension.

2014-08-13abs ↗pdf ↗

Uniqueness of circle packings on certain translation surfaces is proven.

problem Proving the uniqueness of circle packings on specific translation surfaces.
method Using splitting bigons to characterize variations of circle packings.
result For certain circle packings on H(1,1)H(1, 1) translation surfaces, there are only a finite number of ways the packing can vary without changing the contacts graph.

Study on finiteness property of right-angled Artin groups actions on extension graphs.

problem Finiteness property of hyperbolic simplicial actions on right-angled Artin groups.
method Analysis of right-angled Artin group actions on extension graphs, using asymptotic translation lengths and syllable lengths.
result Asymptotic translation lengths of elements in right-angled Artin groups are rational and have a common denominator under certain conditions.

In this paper, we study entire translating solutions u(x)u(x) to a mean curvature flow equation in Minkowski space. We show that if Σ={(x,u(x))xRn}Σ=\{(x, u(x))| x\in\mathbb{R}^n\} is a strictly spacelike hypersurface, then ΣΣ reduces to a strictly convex rank k soliton in Rk,1\mathbb{R}^{k, 1} (after splitting off trivial factors) wh…

2015-05-07abs ↗pdf ↗

We consider HH(eisenberg)-type groups whose law of left translation gives rise to a bracket generating distribution of step 2. In the contrast with sub-Riemannian studies we furnish the horizontal distribution with a nondegenerate indefinite metric of arbitrary index and investigate the problem concerning causal geode…

2010-10-21abs ↗pdf ↗

Kernel methods have been widely applied to machine learning and other questions of approximating an unknown function from its finite sample data. To ensure arbitrary accuracy of such approximation, various denseness conditions are imposed on the selected kernel. This note contributes to the study of universal, characte…

2013-10-21abs ↗pdf ↗

New method constructs equivariant neural networks for arbitrary matrix groups.

problem Challenges in constructing equivariant neural networks for complex groups.
method Completely general algorithm for solving equivariant layers of matrix groups.
result Constructs multilayer perceptrons equivariant to multiple groups including O(1,3), O(5), Sp(n), and Rubik's cube group.

Unified approach to discrete and smooth isoperimetric inequalities of arbitrary order.

problem Finding higher order isoperimetric inequalities for both discrete and smooth curves.
method Unified approach via Fourier analysis of linear operators.
result Unified upper and lower bounds for isoperimetric deficit in smooth curves.

Generalized algorithm for translation and scale-invariant prediction.

problem Sequential prediction with expert advice, focusing on translation and scale invariance.
method Designing a generalized online algorithm using the universal prediction perspective to compete against a generic class of expert selection strategies.
result No preliminary knowledge of loss sequences is required; performance bounds are stable under arbitrary scalings and translations.

We study the geometry of the Margulis region associated with an irrational screw translation gg acting on the 4-dimensional real hyperbolic space. This is an invariant domain with the parabolic fixed point of gg on its boundary which plays the role of an invariant horoball for a translation in dimensions 3\leq 3. Th…

2013-04-19abs ↗pdf ↗

TR0N turns pre-trained models into conditional ones with minimal training.

problem Creating conditional models from pre-trained unconditional models.
method Lightweight stochastic mapping between conditions and latent space, improved through Langevin dynamics.
result Achieves zero-shot FID of 10.9 on MS-COCO, outperforming alternatives.

STRING improves 2D and 3D position encodings for better performance.

problem Efficient and accurate position encoding for 2D and 3D applications.
method STRING extends Rotary Position Encodings with a unifying theoretical framework, maintaining translation invariance and low computational cost.
result STRING shows substantial gains in open-vocabulary object detection and robotics.

Since their introduction by Thurston, measured geodesic laminations on hyperbolic surfaces occur in many contexts. In [Mor], we have introduced a notion of flat laminations on surfaces endowed with a half-translation structure (that is a singular flat surface with holonomy {+/-Id}, similar to geodesic laminations on hy…

2014-12-05abs ↗pdf ↗

Generates valid Euclidean distance matrices for molecular structures.

problem Generating point clouds in arbitrary rotations and translations is challenging.
method Developed a neural network architecture that produces valid Euclidean distance matrices invariant to rotations and translations.
result The architecture can generate molecular structures in a one-shot fashion by producing Euclidean distance matrices with a three-dimensional embedding.

Neural machine translation models are used to automatically generate a document from given source code since this can be regarded as a machine translation task. Source code summarization is one of the components for automatic document generation, which generates a summary in natural language from given source code. Thi…

2019-06-19abs ↗pdf ↗

New Orlicz Brunn-Minkowski inequalities are established for rigid motion compatible Minkowski valuations of arbitrary degree. These extend classical log-concavity properties of intrinsic volumes and generalize seminal results of Lutwak and others. Two different approaches which refine previously employed techniques are…

2014-11-28abs ↗pdf ↗

Proposes local coordinate frames for improving model performance in complex dynamical systems.

problem Improving model performance in complex, non-linear, and time-dependent dynamical systems.
method Introduces roto-translation invariant local coordinate frames for geometric graphs.
result The approach outperforms state-of-the-art models in various complex scenarios.

BART pretrains sequence-to-sequence models by corrupting text and reconstructing it.

problem Improving natural language generation, translation, and comprehension.
method BART uses a denoising autoencoder trained on a Transformer architecture with various noising techniques.
result BART achieves state-of-the-art performance on various NLP tasks with minimal training resources.

In this paper we generalize special geometry to arbitrary signatures in target space. We formulate the definitions in a precise mathematical setting and give a translation to the coordinate formalism used in physics. For the projective case, we first discuss in detail projective Kaehler manifolds, appearing in N=1 supe…

2006-12-19abs ↗pdf ↗

New theorem proves convex bodies with specific curvature measures are rescaled Wulff shapes.

problem Characterizing convex bodies based on anisotropic curvature measures.
method Analyzing k-th anisotropic curvature measures and their relation to anisotropic perimeter.
result Arbitrary convex bodies with specific curvature measures are rescaled Wulff shapes.

We analyze the slope gap distribution of Veech surfaces, finding finite non-analytic points and quadratic tail decay.

problem Understanding the slope gap distribution of Veech surfaces.
method Explicit parameterization of a Poincaré section to the horocycle flow, finiteness result for the first return map.
result The limiting gap distribution of slopes of saddle connections on Veech surfaces is piecewise real-analytic with finitely many points of non-analyticity and has quadratic tail decay.

The study constructs minimal surfaces in a product space with specific properties.

problem Constructing minimal surfaces with specific topological and geometric properties in a product space.
method 1-parameter families of complete properly Alexandrov-embedded minimal surfaces with dihedral symmetry and finite total curvature.
result Examples of minimal surfaces with genus 1 and 2k ends in quotient spaces.

We explicitly compute the limiting gap distribution for slopes of saddle connections on the flat surface associated to the regular octagon with opposite sides identified. This is the first such computation where the Veech group of the translation surface has multiple cusps. We also show how to parametrize a Poincaré se…

2014-09-02abs ↗pdf ↗

Study pinched solutions of mean curvature flow in higher dimensions, proving singularities are specific types.

problem Analyzing pinched solutions of mean curvature flow in higher dimensions.
method Weakly convex, uniformly two-convex solutions with derivative estimates, showing noncollapsed solutions.
result Blow-up models at first singular time are codimension one shrinking sphere, cylinder, or translating bowl soliton.

Let MM be a hyperbolic fibered 3-manifold. We study properties of sequences (Sαn,ψαn)(S_{α_n}, ψ_{α_n}) of fibers and monodromies for primitive integral classes in the fibered cone of MM. The main tool is the asymptotic translation length C(ψαn)\ell_{\mathcal{C}} (ψ_{α_n}) of the pseudo-Anosov monodromy ψαn ψ_{α_n} on the curve …

2019-09-03abs ↗pdf ↗

A class of Z_2-graded Lie algebra and Lie superalgebra extensions of the pseudo-orthogonal algebra of a spacetime of arbitrary dimension and signature is investigated. They have the form g = g_0 + g_1, with g_0 = so(V) + W_0 and g_1 = W_1, where the algebra of generalized translations W = W_0 + W_1 is the maximal solva…

2003-11-13abs ↗pdf ↗

Paper proposes a bijective approach for signal/symbol translation using variational auto-encoders.

problem Extracting symbolic information from signals, especially in music, is challenging and non-generic.
method Turned into a density estimation task, using two variational auto-encoders with additive constraint.
result Bijective signal/symbol translation achieved, allowing both signal-to-symbol and symbol-to-signal inference.