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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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61122183244 · Jun 202019922001200920172026
48 results for Transitive Global Translations

New method identifies differences between groups in low-dimensional data representations.

problem Identifying meaningful differences between groups in low-dimensional data representations.
method Introduce Global Counterfactual Explanation (GCE) and Transitive Global Translations (TGT) for computing GCEs.
result TGT identifies sparse, accurate explanations that match real data patterns.

In this paper we determine the at least 44-dimensional affine reductive homogeneous manifolds for an at most 99-dimensional simple Lie group or an at most 66-dimensional semi-simple Lie group. Those reductive spaces among them which admit a sharply transitive differentiable section yield local almost differentiable …

2015-06-29abs ↗pdf ↗

The paper studies minimal surface flow and translating solitons, proving global solutions and convergence.

problem Finding global solutions and convergence of minimal surface flow and translating solitons.
method Evolved surfaces over convex planar domains evolving by minimal surface flow, proving a priori estimates for translating solitons.
result Global solutions of minimal surface flow converge to translating solitons under suitable conditions.

Proposes using Wasserstein barycenter for better multilingual alignment.

problem Finding word-to-word translations between multiple languages without parallel data.
method Uses Wasserstein barycenter as a more informative pivot language, minimizing pairwise transportation costs.
result Demonstrates state-of-the-art performances on standard benchmarks.

To any connected and simply connected nilpotent Lie group N, one can associate its group of affine transformations Aff(N). In this paper, we study simply transitive actions of a given nilpotent Lie group G on another nilpotent Lie group N, via such affine transformations. We succeed in translating the existence questio…

2007-11-30abs ↗pdf ↗

Faster sampling in discrete diffusion models with predetermined transition time.

problem Efficiency in sampling discrete diffusion models.
method Discrete Non-Markov Diffusion Models (DNDM) with predetermined transition time.
result Significantly reduces the number of function evaluations for faster sampling.

Weight decay stabilizes training dynamics by slowing progressive sharpening.

problem Understanding how weight decay affects training stability in deep learning models.
method Analyzing weight decay effects at the Edge of Stability, developing a mathematical framework.
result Weight decay dampens oscillations and stabilizes sharpness in CNNs, causing a phase transition in MLPs.

NERS improves RL by sampling diverse transitions considering local and global contexts.

problem Sampling biases in experience replay lead to redundant transitions.
method Neural Experience Replay Sampler (NERS) that considers both local and global contexts.
result NERS significantly improves RL performance by sampling diverse and meaningful transitions.

A translation structure on a surface is an atlas of charts to the plane so that the transition functions are translations. We allow our surfaces to be non-compact and infinite genus. We endow the space of all pointed surfaces equipped with a translation structure with a topology, which we call the immersive topology be…

2013-10-19abs ↗pdf ↗

In this work, we propose a new evolving geometric flow (called translating mean curvature flow) for the translating solitons of hypersurfaces in Rn+1R^{n+1}. We study the basic properties, such as positivity preserving property, of the translating mean curvature flow. The Dirichlet problem for the graphical translating m…

2016-12-12abs ↗pdf ↗

New framework uses simplicial and categorical methods to detect market inconsistencies.

problem Detecting inconsistencies in financial markets using non-measure-preserving transitions.
method Simplicial and categorical formulation of AB type arbitrage in filtered market systems.
result Holonomy along loops reveals global inconsistencies invisible at local levels.

Improved image translation using asymmetric gradient guidance.

problem Trade-off between style transformation and content preservation in diffusion models.
method Asymmetric gradient guidance to guide reverse diffusion sampling.
result Our method outperforms state-of-the-art models in image translation tasks.

The study explores spacetimes with changing spatial curvature, leading to topological transitions.

problem The need for a model that avoids infinite matter and energy after the Big Bang.
method Investigates spacetimes with time-dependent spatial curvature, allowing it to change sign.
result Topological transitions are possible in spacetimes with time-dependent spatial curvature.

New method detects global factors near BBP phase transition in high-dimensional data.

problem Detecting the number of global factors in noisy high-dimensional correlation matrices.
method Iterative Global Factor (IGF) algorithm combining adaptive edge recalibration and PR delocalization filter.
result IGF algorithm successfully detects global factors near BBP transition, improving over eigenvalue-only methods.

Inspired by the tremendous success of deep generative models on generating continuous data like image and audio, in the most recent year, few deep graph generative models have been proposed to generate discrete data such as graphs. They are typically unconditioned generative models which has no control on modes of the …

2018-05-25abs ↗pdf ↗

This paper has been withdrawn by the author due to a crucial sign error in equation 1. An isometry ρρ of a connected Finsler space (M,F)(M, F) is called bounded if the function d(x,ρ(x))d(x, ρ(x)) is bounded on MM. It is called a Clifford-Wolf translation if the function d(x,ρ(x))d(x, ρ(x)) is constant on MM. In this paper, we prove…

2012-04-23abs ↗pdf ↗

Quantum theory reinterprets financial pricing by focusing on observable price transitions.

problem Traditional financial models rely on latent variables; this paper proposes a new observable approach.
method Shift operators, spectral calculus, and Lindblad semigroups are used to define observable frequency operators and convolution generators.
result The framework leads to a nonlocal pricing equation that converges to classical Black-Scholes-Merton under small mesh limits.

We show that the Bowl soliton in R3\mathbb{R}^3 is the unique translating solutions of the mean curvature flow which has the family of shrinking cylinders as an asymptotic shrinker at -\infty. As an application, we show that for a generic mean curvature flow, all (non-static) translating limit flows are the bowl soli…

2018-05-26abs ↗pdf ↗

Study phase transitions in noisy transformer dynamics on spheres.

problem Understanding phase transitions in noisy transformer dynamics on spheres.
method Sharp Beckner--Onofri/logarithmic HLS inequality, Funk--Hecke/Bessel coefficients, degree-two quartic obstruction.
result Sharp global-minimizer dichotomy and phase transitions in noisy transformer dynamics in arbitrary dimension.

We present a global optimization algorithm for clustering data given the ratio of likelihoods that each pair of data points is in the same cluster or in different clusters. To define a clustering solution in terms of pairwise relationships, a necessary and sufficient condition is that belonging to the same cluster sati…

2015-06-09abs ↗pdf ↗

Study models forest transitions with deep learning for parameter estimation.

problem Complex dynamics of forest, agricultural, and abandoned lands.
method Developed a stochastic differential equation model and used deep learning for parameter estimation.
result Deep learning approach estimates model parameters from time-series data.

Consider a transitive action of a Lie group GG on a (real analytic) manifold MM of dimension mm, and two (embedded) submanifolds AA and BB in MM of sufficiently large class and of dimension kk and ll, respectively. We prove that, for a generic σGσ\in G, the intersection σ(A)Bσ(A) \cap B is transversal, whence a su…

2014-04-07abs ↗pdf ↗

Translating or rotating an input image should not affect the results of many computer vision tasks. Convolutional neural networks (CNNs) are already translation equivariant: input image translations produce proportionate feature map translations. This is not the case for rotations. Global rotation equivariance is typic…

2016-12-14abs ↗pdf ↗

Let ΓΓ be a finitely generated group and GG be a noncompact semisimple connected real Lie group with finite center. We consider the space X\mathcal X of conjugacy classes of reductive representations of ΓΓ into GG. We define the {\it translation vector} of an element gg in GG, with values in a Weyl chamber, as a…

2010-03-04abs ↗pdf ↗

New model for pairwise comparisons without stochastic transitivity.

problem Suboptimal performance of models assuming stochastic transitivity in real-world scenarios.
method Proposes a general family of statistical models using a skew-symmetric matrix.
result Achieves minimax-rate optimality and adapts to data sparsity.

Orchestrating the Twin Transition in GBS: A Socio-Technical Framework

problem MNCs' need to harmonize digital efficiency with environmental stewardship
method Technology Roadmapping (TRM) with ICT-centric innovation ecosystem toolkit
result Central 'operational airlock' for GBS in harmonizing digital and environmental transformation

Globalization processes interweave economic structures at a worldwide scale, trade playing a central role as one of the elemental channels of interaction among countries. Despite the significance of such phenomena, measuring economic globalization still remains an open problem. More quantitative treatments could improv…

2006-11-15abs ↗pdf ↗

This paper is a continuation of Part I where the general setup was developed. Here we discuss the general equivalence problem for geometric structures and provide criteria for the equivalence, local and global, of transitive structures. Cartan's Flag Systems illustrate the theory as a major example and, finally, some a…

2014-12-29abs ↗pdf ↗

In this paper we introduce and study some mathematical structures on top of transitive Lie algebroids in order to formulate gauge theories in terms of generalized connections and their curvature: metrics, Hodge star operator and integration along the algebraic part of the transitive Lie algebroid (its kernel). Explicit…

2012-05-30abs ↗pdf ↗

Autoregressive sequence models achieve state-of-the-art performance in domains like machine translation. However, due to the autoregressive factorization nature, these models suffer from heavy latency during inference. Recently, non-autoregressive sequence models were proposed to reduce the inference time. However, the…

2019-10-25abs ↗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.