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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.

169,051 papers · 148 categories

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98195293390 · Jun 202019922001200920182026
48 results for Geometric Entropy Minimization

We show vanishing results about the infimum of the topological entropy of the geodesic flow of homogeneous smooth four manifolds. We prove that any closed oriented geometric four manifold has zero minimal entropy if and only if it has zero simplicial volume. We also show that if a four manifold M admits a geometric dec…

2006-01-31abs ↗pdf ↗

Study minimal volume entropy for free-by-cyclic groups and 2D right-angled Artin groups.

problem Characterize minimal volume entropy for aspherical simplicial complexes with these groups as fundamental groups.
method Algebraic and geometric characterization, using fiber π1π_1-growth collapse and non-collapsing assumptions.
result Provide bounds and criteria for minimal volume entropy in aspherical simplicial complexes.

We introduce on any smooth oriented minimal surface in Euclidean 33-space a meromorphic quadratic differential, PP, which we call the entropy differential. This differential arises naturally in a number of different contexts. Of particular interest is the realization of its real part as a conservation law for a natur…

2013-01-08abs ↗pdf ↗

In this paper, we propose a general framework to learn a robust large-margin binary classifier when corrupt measurements, called anomalies, caused by sensor failure might be present in the training set. The goal is to minimize the generalization error of the classifier on non-corrupted measurements while controlling th…

2016-10-21abs ↗pdf ↗

The entropy of a hypersurface is a geometric invariant that measures complexity and is invariant under rigid motions and dilations. It is given by the supremum over all Gaussian integrals with varying centers and scales. It is monotone under mean curvature flow, thus giving a Lyapunov functional. Therefore, the entropy…

2012-05-09abs ↗pdf ↗

The entropy-degree theorem applies to Alexandrov spaces with curvature constraints.

problem Geometric obstructions and volume bounds in singular spaces.
method Developed new degree theorem for Alexandrov spaces using integral currents.
result Entropy-volume minimization prevents metric singularities in Gromov-Hausdorff limits.

We study the problem of existence of F-structures on compact complex surfaces, giving a complete classification modulo the gap in the classification of surfaces of class VII. We then use these results to study the minimal entropy problem for compact complex surfaces. For instance we prove that compact Kahler surfaces o…

2003-04-24abs ↗pdf ↗

Let f:YXf: Y \rightarrow X be a continuous map between a compact real analytic Kähler manifold (Y,g)(Y,g) and a compact complex {hyperbolic manifold} (X,g0)(X,g_0). In this paper we give a lower bound of the diastatic entropy of (Y,g)(Y,g) in terms of the diastatic entropy of (X,g0)(X,g_0) and the degree of ff. When the lower bound i…

2015-05-08abs ↗pdf ↗

HCLM framework uses entropy regularization for open learning systems.

problem Real-world AI challenges and limitations of deep learning.
method Dynamical and information-theoretic framework with entropy regularization.
result Geometric entropy surrogates, especially log-determinant covariance entropy, induce stronger and more stable information forces.

A new method for generative modeling of discrete data using geometric latent subspaces.

problem Learning generative models for discrete data with statistical dependencies.
method Geometric latent-subspace framework in exponential parameter space of product manifolds of categorical distributions.
result Low-dimensional latent space encodes statistical dependencies and accurately models high-dimensional discrete data.

In this paper, we propose a general framework to learn a robust large-margin binary classifier when corrupt measurements, called anomalies, caused by sensor failure might be present in the training set. The goal is to minimize the generalization error of the classifier on non-corrupted measurements while controlling th…

2015-07-16abs ↗pdf ↗

The relaxed maximum entropy problem is concerned with finding a probability distribution on a finite set that minimizes the relative entropy to a given prior distribution, while satisfying relaxed max-norm constraints with respect to a third observed multinomial distribution. We study the entire relaxation path for thi…

2013-11-07abs ↗pdf ↗

The paper explores how neural networks avoid overfitting by learning from flat minima.

problem How to prevent overfitting in neural networks by learning from flat minima.
method Study of one- and two-layer neural network models, derivation of algorithms focusing on wide flat regions.
result Wide flat minima coexist with narrower minima and critical points, and are associated with good minimizers.

Proposes MEDM to balance entropy minimization and diversity maximization for better domain adaptation.

problem Trivial solutions in entropy minimization for unsupervised domain adaptation.
method Introduces diversity maximization to balance with entropy minimization, controlled by deep embedded validation.
result MEDM outperforms state-of-the-art methods on four domain adaptation datasets.

We extend the notion of the geometric entropy of foliation to foliated manifolds equipped with leafwise Finsler structure. We study the relation between the geometric entropy and the topological entropy of the holonomy pseudogroup. The case of foliated manifold with leafwise Randers structure. In this case the estimate…

2014-10-03abs ↗pdf ↗

Entropy-minimal measure calculated for a stochastic volatility model.

problem Calculating the entropy-minimal equivalent martingale measure in a stochastic volatility model.
method Revised related theory, calculated entropy-minimal measure.
result Entropy-minimal measure for the exponential Ornstein-Uhlenbeck model.

Generalizes entropy-drift inequality for specific geometric spaces.

problem Entropy, drift, and critical exponent in Gibbs measures on geometrically finite manifolds.
method Generalization of Guivarc'h's inequality for CAT(-1) spaces, analysis of random walks.
result Equality in entropy-drift inequality achieved if and only if Gibbs density is equivalent to hitting measure.

We give a notion of entropy for general gemetric structures, which generalizes well-known notions of topological entropy of vector fields and geometric entropy of foliations, and which can also be applied to singular objects, e.g. singular foliations, singular distributions, and Poisson structures. We show some basic p…

2011-09-24abs ↗pdf ↗

Study minimal surfaces in complex hyperbolic space, linking entropy and volume.

problem Characterize minimal submanifolds in complex hyperbolic space.
method Analyze asymptotic regularity and introduce Colding-Minicozzi entropy and CR-volume.
result Establish a connection between Colding-Minicozzi entropy and CR-volume.

New geometric quantities help classify manifolds and relate to entropy.

problem Classifying Riemannian manifolds using geometric quantities.
method Introducing and analyzing asymptotic geometric quantities like p-capacity, eigenvalues, and Maz'ya constant.
result Geometric quantities coincide with entropy in specific conditions, characterizing manifolds.

Study on convergence of exponential probability measures with applications to maximum entropy models and SGLD.

problem Characterizing the limit of probability measures with exponential densities as temperature approaches zero.
method Quantitative bounds on Wasserstein distance using geometric measure theory tools.
result Established quantitative convergence results for norm-like potentials under invertibility conditions.

We consider the minimal entropy problem, namely the question of whether there exists a smooth metric of minimal entropy, for certain classes of 3-manifolds. Among other resulsts, we show that if M is a closed, orientable, geometrizable 3-manifold with zero simplicial volume, then the minimal entropy can be solved for M…

2000-11-21abs ↗pdf ↗

Defines a new geometric quantity for hyperbolic manifolds, showing it's well-defined and invariant.

problem Defining a mass for asymptotically hyperbolic manifolds under weaker conditions.
method Volume-renormalized mass defined as a linear combination of ADM mass and renormalized volume.
result Volume-renormalized mass is well-defined and diffeomorphism invariant under weaker conditions.

The paper studies minimal surface entropy on hyperbolic 3-manifolds and compares it to the hyperbolic case.

problem Minimal surface entropy on hyperbolic 3-manifolds and its comparison to the hyperbolic case.
method Analysis of Ricci flow convergence and comparison of metrics with sectional and scalar curvature constraints.
result The entropy is maximized at the hyperbolic metric under certain curvature conditions.

New method uses entropy dissipation to prove isoperimetric inequalities.

problem Proving isoperimetric inequalities in geometric settings.
method Information-theoretic approach based on entropy dissipation under heat flow.
result New proof of Euclidean isoperimetric inequality with sharp constant.

The paper applies math and physics to language models, introducing entropy and geometric concepts.

problem Understanding and improving language models to approximate intelligent language.
method Formal definitions, functional analysis, topology, thermodynamics, and set theory.
result Entropy function reveals key obstacles for LLMs and offers insights into language models.