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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.

169,341 papers · 148 categories

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90181271361 · Jun 202019922001200920182026
48 results for seminal classes

According to seminal work of Kontsevich, the unstable homology of the mapping class group of a surface can be computed via the homology of a certain lie algebra. In a recent paper, S. Morita analyzed the abelianization of this lie algebra, thereby constructing a series of candidates for unstable classes in the homology…

2006-10-04abs ↗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 ↗

Study shows infinite dimensional zero norm subspace in bounded cohomology of acylindrically hyperbolic groups.

problem Understanding the zero norm subspace in bounded cohomology of acylindrically hyperbolic groups.
method Introduced combinatorial volume forms and a new seminorm on exact bounded cohomology to construct non-trivial classes.
result Shows infinite dimensional zero norm subspace in degree 3 bounded cohomology of acylindrically hyperbolic groups.

This paper proves a converse to Thurston's 1976 observation for taut foliations on hyperbolic 3-manifolds.

problem Proving a converse to Thurston's 1976 observation for taut foliations on hyperbolic 3-manifolds.
method Analyzing the Euler class and using hyperbolic geometry properties.
result For a taut foliation on a hyperbolic 3-manifold, if the Euler characteristic of a closed leaf equals the Euler class, then there exists another taut foliation with the same Euler class.

The paper "Minimal unit vector fields" by O. Gil-Medrano and E. Llinares-Fuster \cite{GilLli1}. is a seminal paper in the field that has been cited by many authors. It contains, however, a minor technical mistake in Theorem 14 that is important to fix. In this short note, we will provide a correction to that result.

2012-11-08abs ↗pdf ↗

We develop theory and applications of forward characteristic processes in discrete time following a seminal paper of Jan Kallsen and Paul Krühner. Particular emphasis is placed on the dynamics of volatility surfaces which can be easily formulated and implemented from the chosen discrete point of view. In mathematical t…

2014-09-05abs ↗pdf ↗

This paper solves a problem in 3D geometry by defining a canonical partition for certain manifolds.

problem Building an explicit canonical decomposition for orientable 3-manifolds defined by vector-colourings of 3-polytopes.
method Analysis of results from previous studies on similar problems.
result A complete answer to the problem of decomposing orientable 3-manifolds defined by vector-colourings of 3-polytopes.

Develops a model for causal discovery in path spaces.

problem Discover causal relationships in path spaces using asymmetric independence.
method Theory linking E-separation in DMGs to conditional independence in SDEs, proving global Markov property, characterizing equivalence classes of graphs.
result Each equivalence class of graphs has a greatest element as a parsimonious representation, which can be identified from data.

In a remark in his seminal 1987 paper, Jones describes a way to define the Burau matrix of a positive braid using a metaphor of bowling a ball down a bowling alley with braided lanes. We extend this definition to allow multiple bowling balls to be bowled simultaneously. We obtain the Iwahori-Hecke algebra and a cabled …

2014-09-14abs ↗pdf ↗

New method optimizes hierarchical multi-label classification results.

problem Optimizing classification results respecting class hierarchy and classifier scores.
method Introducing CATCH objective function and mLPR metric to rank multi-label classification results.
result HierRank algorithm optimizes CATCH, improving decision accuracy.

In this paper we settle Thurston's old question of whether the Weber-Seifert dodecahedral space is non-Haken, a problem that has been a benchmark for progress in computational 3-manifold topology over recent decades. We resolve this question by combining recent significant advances in normal surface enumeration, new he…

2009-09-25abs ↗pdf ↗

Study proves global existence and decay for complex wave equations.

problem Global existence and decay for quasilinear wave equations with weak-null condition.
method Novel decoupling of higher order energy estimates, focusing on tangential components.
result Established global existence and decay for solutions with small data.

We extend Bayes' theorem for upper probabilities considering likelihood uncertainty.

problem Addressing uncertainty in likelihood for upper probability bounds.
method Generalization of Wasserman and Kadane's result, considering both prior and likelihood uncertainty.
result A sufficient condition for the upper bound to become an equality.

This paper removes the finite variance assumption for deep convolutional neural networks.

problem Removing the finite variance assumption for deep convolutional neural networks.
method Assuming iid parameters distributed according to a stable distribution, the paper shows that the infinite-channel limit of a deep feed-forward convolutional neural network is a multivariate stable stochastic process.
result The infinite-channel limit of a deep feed-forward convolutional neural network, under suitable scaling, is a multivariate stable stochastic process.

Improved kernel ridge regression for large datasets using weighted random binning.

problem Efficiently approximating kernel matrices for large-scale datasets.
method Introduced weighted random binning features for locality sensitive hashing.
result Weighted random binning features generate Gaussian processes of any desired smoothness.

Unified view on random walk and Weisfeiler-Leman kernels, improving accuracy.

problem Improving graph kernel methods for better classification accuracy.
method Define and analyze walk-based node refinement methods, relate to Weisfeiler-Leman test, and introduce new walk-based kernels.
result Walk-based kernels are as expressive as Weisfeiler-Leman subtree kernel but support non-strict neighborhood comparison.

Our purpose is to pursue the rigorous construction of Liouville Quantum Field Theory on Riemann surfaces initiated by F. David, A. Kupiainen and the last two authors in the context of the Riemann sphere and inspired by the 1981 seminal work by Polyakov. In this paper, we investigate the case of simply connected domains…

2015-02-15abs ↗pdf ↗

This paper extends the Gaussian process interpretation of deep networks to more varied weight distributions.

problem Understanding the impact of different weight initialization schemes on deep learning dynamics.
method Extending the Gaussian process interpretation to PSEUDO-IID weight distributions, including sparse and low-rank networks.
result PSEUDO-IID initialized networks are effectively equivalent up to variance, enabling tractable posterior distributions.

The paper proves asymptotic normality for multinomial logistic regression on null covariates.

problem Classical asymptotic normality results fail in high-dimensional multinomial logistic models.
method Developed asymptotic normality and chi-square results for multinomial logistic MLE on null covariates.
result Validated new methodology to test feature significance in high-dimensional classification problems.

Study on existence of weighted extremal Kähler metrics on projective bundles.

problem Existence of weighted extremal Kähler metrics on projective bundles.
method General existence result for weighted extremal metrics on admissible projective bundles.
result Existence of conformally Kähler, Einstein-Maxwell metrics of complex dimension m>2m>2.

New framework for ranking distributions using variable fractional parameters.

problem Ordering distributions with varying steepness and local non-concavities.
method Introducing a function γ:Ro[0,1]\boldsymbolγ: \mathbb{R} o [0,1] to replace the fixed parameter in fractional SD.
result Enables ranking of a broader range of distributions and incorporates dynamic greediness.