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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.

169,291 papers · 148 categories

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326495127 · Jun 202019922001200920182026
48 results for partial frames

Let a>b>0a>b>0 and ff be a conformal map from BaBbR2B_a\setminus B_b\subseteq R^2 into Rn\R^n, with f2=2e2u|\nabla f|^2=2e^{2u}. Then (e1,e2)(e_1, e_2) with e1=eufr,e_1=e^{-u}\frac{\partial f}{\partial r}, and e2=r1eufθe_2=r^{-1}e^{-u}\frac{\partial f}{\partialθ} is a moving frame on f(BaBb)f(B_a\setminus B_b). It satisfies the following equation $$d\s…

2011-10-24abs ↗pdf ↗

The paper studies posets from decompositions in symmetric monoidal categories.

problem Understanding posets from decompositions in symmetric monoidal categories.
method Defining decompositions and partial decompositions, complexes of frames, partial bases, and ordered versions.
result Unified approach to combinatorics and homotopy type of posets and complexes.

Study inextensible flows of curves in 4D pseudo-Galilean space and defines energy functions.

problem Analyzing inextensible flows and energy of curves in 4D pseudo-Galilean space.
method Expressed inextensible flows as partial differential equations, defined directional derivatives, and expressed bending elastic energy functions.
result Necessary and sufficient conditions for inextensible flows are given as partial differential equations.

Via Gauge theory, we give a new proof of partial regularity for harmonic maps in dimension m>2 into arbitrary targets. This proof avoids the use of adapted frames and permits to consider targets of "minimal" C^2 regularity. The proof we present moreover extends to a large class of elliptic systems of quadratic growth.

2006-04-28abs ↗pdf ↗

Neural architectures learn belief representations for partially observable environments.

problem Learning belief states in partially observable domains.
method One-step frame prediction and contrastive predictive coding (CPC) as objective functions.
result Neural architectures can learn belief representations, encoding both state information and uncertainty.

We study the problem of finding the minimal (maximal) genus for a surface where a given four-valent graph with fixed opposite edge structure can be embedded into. We find several partial relations and give new reformulations in combinatorial and knot theoretic languages.

2008-04-26abs ↗pdf ↗

We show how pairs of isothermic surfaces are given by curved flats in a pseudo Riemannian symmetric space and vice versa. Calapso's fourth order partial differential equation is derived and, using a solution of this equation, a Möbius invariant frame for an isothermic surface is built.

1994-11-23abs ↗pdf ↗

This work frames active inference through control as inference, offering robust control algorithms.

problem Active inference framework lacks practical sensorimotor control algorithms.
method Frame active inference through control as inference, presenting trajectory optimization as inference.
result AI may be framed as partially-observed CaI when the cost function is defined in observation states.

The smoothing theory is revised to generalize to different disc embedding spaces.

problem Generalizing the smoothing theory to various disc embedding spaces.
method Revising the Morlet-Burghelea-Lashof-Kirby-Siebenmann theorem to apply to different versions of disc smooth embedding spaces.
result The delooping of disc embedding spaces is shown to be compatible with the Hatcher and Budney actions.

For each integer q>0 there is a cohomology theory such that the zero cohomology group of a manifold N of dimension n is a certain group of cobordism classes of proper fold maps of manifolds of dimension n+q into N. We prove a splitting theorem for the spectrum representing the cohomology theory of fold maps. For even q…

2008-03-26abs ↗pdf ↗

The paper introduces new metric structures on g\mathfrak{g}-foliations and uses a flow to deform them.

problem Developing new flexible metric structures on g\mathfrak{g}-foliations.
method Introducing new metric structures and using the partial Ricci flow to deform them.
result Deformation retraction of new structures with positive partial Ricci curvature onto classical structures.

A new reinforcement learning method for medical decisions with limited data.

problem Learning high-performing policies from partially observed data in healthcare.
method Optimization objective that combines policy and generative model quality, suitable for batch off-policy settings.
result Demonstrated improved performance on synthetic and medical decision-making problems.

SQAIR generates videos of moving objects, tracking and predicting them reliably.

problem Generating videos of moving objects with reliable object tracking and prediction.
method Explicitly encoding object presence, locations, and appearances in latent variables.
result SQAIR reliably discovers and tracks objects throughout sequences of frames and generates future frames.

Paper connects Turaev cobracket to Kashiwara--Vergne problem via Hodge theory.

problem Solving the Kashiwara--Vergne problem in algebraic geometry.
method Combining Turaev cobracket and Goldman bracket results, constructing torsors of solutions.
result Found a torsor of solutions to the Kashiwara--Vergne problem that depends only on topology.

Bayesian model captures spatial correlations in data.

problem Modeling spatial correlations in high-dimensional data.
method Structured Bayesian Gaussian process latent variable model with parameterized spatial kernel and structure-exploiting algebra.
result Inference is tractable with computational complexity similar to traditional Bayesian GP-LVM.

We propose a method for explicit computation of the Chern character form of a holomorphic Hermitian vector bundle (E,h)(E,h) over a complex manifold XX in a local holomorphic frame. First, we use the descent equations arising in the double complex of (p,q)(p,q)-forms on XX and find explicit degree decomposition of the Cher…

2014-02-25abs ↗pdf ↗

Paper tackles fall detection using adversarial learning.

problem Detecting falls in the absence of training data due to class imbalance.
method Adversarial learning framework with spatio-temporal autoencoder and convolution network.
result Proposed framework outperformed baseline methods on publicly available datasets.

New method for classifying disk embeddings in 4-manifolds.

problem Classifying smooth isotopy classes of neat embeddings of 2-disks in 4-manifolds.
method Using an invariant going back to Dax, constructing a group structure, and relating to mapping class groups.
result The group structure on isotopy classes of neat embeddings is usually not abelian or finitely generated.

New method estimates model performance bounds without ground truth labels.

problem Evaluation of weakly supervised models without direct access to ground truth labels.
method Formulates model evaluation as a partial identification problem and uses Fréchet bounds for performance estimation.
result Derives accurate and computationally efficient bounds for key metrics like accuracy, precision, recall, and F1-score.

We introduce an approach based on moving frames for polygon recognition and symmetry detection. We present detailed algorithms for recognition of polygons modulo the special Euclidean, Euclidean, equi-affine, skewed-affine and similarity Lie groups, and explain the procedure for a generic Lie group. The time complexity…

2000-11-17abs ↗pdf ↗

Introduces hyperbolic generalized framed surfaces and their properties.

problem None explicitly stated; focuses on introducing new geometric objects.
method Generalization of hyperbolic framed surfaces and curves.
result Established conditions for a surface to be a hyperbolic generalized framed base surface and explored their singularities.

The main drawback of the Frenet frame is that it is undefined at those points where the curvature is zero. Further- more, in the case of planar curves, the Frenet frame does not agree with the standard framing of curves in the plane. The main drawback of the Bishop frame is that the principle normal vector N is not in …

2013-11-22abs ↗pdf ↗

Study on Bertrand lightcone framed curves in Lorentz-Minkowski 3-space.

problem Analyzing mixed types of curves with singular points in Lorentz-Minkowski 3-space.
method Using lightcone frame to consider Bertrand types for lightcone framed curves.
result Existence conditions of Bertrand lightcone framed curves in all cases.

The paper extends BPS invariants for framed knots and links.

problem Investigating BPS invariants for framed knots and links.
method Using the dual A-polynomial and framing change formula, the paper extends the relationship between algebraic curves and BPS invariants to framed knots and links.
result Explicit formulas for extremal A-polynomials and BPS invariants of framed knots, and numerical calculations for framed Whitehead links and Borromean rings.

TrackNet tracks tiny balls in sports videos with high precision.

problem Accurately tracking tiny and fast-moving objects like tennis balls in sports videos.
method Developed a heatmap-based deep learning network, TrackNet, trained on public and additional labeled videos.
result Achieved high precision (99.7%) in ball tracking on public domain videos.

Study reveals LLM personas have two distinct components: frame-robust aggregated traits and frame-dependent geometric features.

problem Evaluation of LLM personas via psychometric questionnaires discards within-instance correlation structure.
method Constructed within-instance correlation matrices from IPIP-50 responses and analyzed geometry on SPD manifolds under manipulated question orderings.
result Persona expression comprises two dissociable components: aggregated features (Big Five scores) and geometric features (SPD manifold).

Higher-dimensional Milnor frames are characterized and contrasted with 3D Heisenberg and 4D nilpotent Lie algebras.

problem Characterizing higher-dimensional Milnor frames and their properties.
method Definition and classification of higher-dimensional Milnor frames and their relationship to known Lie algebras.
result Higher-dimensional Milnor frames are isomorphic to direct sums of 3D Heisenberg and 4D nilpotent Lie algebras and an abelian Lie algebra.