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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.

168,694 papers · 148 categories

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92184276368 · Jun 202019922001200920172026
48 results for Affine representation

The paper defines cocycles for positive Anosov representations and constructs affine actions with bounded fundamental domains.

problem Positive Anosov representations into SO(2n,2n1)\mathrm{SO}(2n,2n-1).
method Definition of cocycles and construction of affine actions with fundamental domains.
result Quotient manifolds are homeomorphic to handlebodies.

The paper generalizes deformation results for Fuchsian representations and shows proper affine actions.

problem Infinitesimal deformations of Fuchsian representations do not act properly in certain directions.
method Using results from Labourie--Wentworth, Potrie--Sambarino, and Smilga, the authors introduce affine versions of cross ratios and triple ratios, Margulis invariants, and relate them to infinitesimal Jordan projections.
result A general criterion for existence of proper affine actions in terms of Margulis invariant spectra.

We construct a new representation formula for indefinite improper affine spheres in terms of two para-holomorphic functions and study singularities which appear in this representation formula. As a result, it follows that cuspidal cross caps never appear as the singularities on indefinite improper affine spheres and so…

2008-01-31abs ↗pdf ↗

We present a representation formula for discrete indefinite affine spheres via loop group factorizations. This formula is derived from the Birkhoff decomposition of loop groups associated with discrete indefinite affine spheres. In particular we show that a discrete indefinite improper affine sphere can be constructed …

2020-01-22abs ↗pdf ↗

We define the notion of affine Anosov representations of word hyperbolic groups into the affine group SO0(n+1,n)R2n+1\mathsf{SO}^0(n+1,n)\ltimes\mathbb{R}^{2n+1}. We then show that a representation ρρ of a word hyperbolic group is affine Anosov if and only if its linear part Lρ\mathtt{L}_ρ is Anosov in SO0(n+1,n)\mathsf{SO}^0(n+1,n) with …

2017-11-27abs ↗pdf ↗

Heegaard Floer homology connects to polynomial representations of Hecke algebras.

problem Understanding polynomial representations of double affine Hecke algebras.
method Using higher-dimensional Heegaard Floer homology and topological interpretations.
result Recovery of polynomial representations from Heegaard Floer homology.

Constructs positive energy representations from Toda equations Stokes data.

problem Creating positive energy representations of affine algebras.
method Using Stokes data of tt*-Toda equations to construct representations.
result Illustrates construction with examples in conformal field theory.

Researchers study rational and pretzel knots using affine group representations.

problem Understanding the structure and properties of rational and pretzel knots.
method Constructing representations of knot groups into the affine group AGL(1,ℂ) via a TQFT valued in spans of singular vector bundles.
result Closed-form expressions for Alexander polynomials and bounds on their zeros for rational and pretzel knots.

The complete classification of representations of the Trefoil knot group G in S^{3} and SL(2,R), their affine deformations, and some geometric interpretations of the results, are given. Among other results, we also obtain the classification up to conjugacy of the non cyclic groups of affine Euclidean isometries generat…

2010-03-18abs ↗pdf ↗

We give a characterization of flat affine connections on manifolds by means of a natural affine representation of the universal covering of the Lie group of diffeomorphisms preserving the connection. From the infinitesimal point of view, this representation is determined by the 1-connection form and the fundamental for…

2019-10-09abs ↗pdf ↗

We define a fuchsian affine action of a surface group to be such that the linear part factors through a representation of SL(2,R)SL(2,{\mathbb R}). We prove a fuchsian affine action of a surface group is never proper.

2000-05-25abs ↗pdf ↗

The paper reinterprets knot group invariants using affine transformations.

problem Alexander invariants of knots and their geometric interpretation.
method Representation varieties of knot groups into extrmAGL1(C) extrm{AGL}_1(\mathbb{C}).
result Alexander polynomial as the singular locus of a coherent sheaf.

Study partially hyperbolic flows on flat bundles, proving equivalence for complete affine manifolds.

problem Characterize partially hyperbolic representations of fundamental groups of manifolds.
method Representation theory techniques, focusing on holonomy representations and their properties.
result Show equivalence between partially hyperbolic representations and PP-Anosov representations for complete affine manifolds.

Study shows exponential growth of knot polynomial tied to Chern-Simons invariant.

problem Asymptotic behavior of colored Jones polynomials of figure-eight knot.
method Analyzes growth rate of polynomial evaluated at specific points.
result Growth rate determined by Chern-Simons invariant of an affine representation.

Consider a lattice ΓΓ in a group G=SL2(R),SO(1,n),SU(1,n)G = SL_2(\R), SO(1,n), SU(1,n), $SL_2(\Q_p)$. We discuss actions of ΓΓ by affine isometric transformations of Hilbert spaces. We show that for irreducible affine isometric action of GG its restriction to ΓΓ is irreducible. We prove the existence of canonical irreducible affine iso…

1997-12-20abs ↗pdf ↗

We give a new characterization of flat affine manifolds in terms of an action of the Lie algebra of classical infinitesimal affine transformations on the bundle of linear frames. We characterize flat affine symplectic Lie groups using symplectic étale affine representations and as a consequence of this, we show that a …

2019-02-05abs ↗pdf ↗

Method identifies latent variables from high-dimensional data with piecewise affine mixing.

problem Identifying latent variables from high-dimensional observations with dependencies and piecewise affine transformations.
method Proposes a two-stage method with sparsity and Gaussianity regularization.
result Effectively recovers ground-truth latent variables from synthetic and image data.

The identification of novel drug-target (DT) interactions is a substantial part of the drug discovery process. Most of the computational methods that have been proposed to predict DT interactions have focused on binary classification, where the goal is to determine whether a DT pair interacts or not. However, protein-l…

2018-01-30abs ↗pdf ↗

We study affine Jacobi structures on an affine bundle π:AMπ:A\to M, i.e. Jacobi brackets that close on affine functions. We prove that there is a one-to-one correspondence between affine Jacobi structures on AA and Lie algebroid structures on the vector bundle A+=pMAff(Ap,R)A^+=\bigcup_{p\in M}Aff(A_p,\R) of affine functionals. Som…

2002-12-04abs ↗pdf ↗

GEFA predicts drug-target affinity using graph neural networks.

problem Accurate prediction of drug-target interactions for rapid drug repurposing.
method GEFA (Graph Early Fusion Affinity) is a novel graph-in-graph neural network with attention mechanism.
result GEFA effectively models drug-target interactions, demonstrating the effectiveness of pre-trained protein embedding and nested graph representation.

We show that we can release the rigidity of the skew Howe duality process for sln{\mathfrak sl}_n knot invariants by rescaling the quantum Weyl group action, and recover skein modules for web-tangles. This skew Howe duality phenomenon can be extended to the affine slm{\mathfrak sl}_m case, corresponding to looking at tan…

2013-09-19abs ↗pdf ↗

Representations of two bridge knot groups in the isometry group of some complete Riemannian 3-manifolds as E3E^{3} (Euclidean 3-space), H3H^{3} (hyperbolic 3-space) and E2,1 E^{2,1} (Minkowski 3-space), using quaternion algebra theory, are studied. We study the different representations of a 2-generator group in which th…

2010-01-20abs ↗pdf ↗

In exchange for large quantities of data and processing power, deep neural networks have yielded models that provide state of the art predication capabilities in many fields. However, a lack of strong guarantees on their behaviour have raised concerns over their use in safety-critical applications. A first step to unde…

2019-10-09abs ↗pdf ↗

We consider deep feedforward neural networks with rectified linear units from a signal processing perspective. In this view, such representations mark the transition from using a single (data-driven) linear representation to utilizing a large collection of affine linear representations tailored to particular regions of…

2019-03-29abs ↗pdf ↗

Properly discontinuous actions of a surface group by affine automorphisms of Rd\mathbb R^d were shown to exist by Danciger-Gueritaud-Kassel. We show, however, that if the linear part of an affine surface group action is in the Hitchin component, then the action fails to be properly discontinuous. The key case is that o…

2018-12-10abs ↗pdf ↗

MASC balances dataset representation using affinity clustering and distribution discrepancies.

problem Representation bias in datasets due to group imbalance.
method MASC uses affinity clustering and pairwise distribution discrepancies to balance non-protected and protected groups.
result MASC effectively debiases target datasets, comparable to existing methods.

Study on Hausdorff dimension of Anosov subgroup limit sets under specific affine complexity.

problem Investigating the Hausdorff dimension of Anosov subgroup limit sets with self-affine complexity.
method Analyzing the Hausdorff dimension of projective limit sets Λ1(Γ)Λ^1(Γ) of Anosov subgroups ΓΓ under specific assumptions about their affine complexity.
result The Hausdorff dimension of Λ1(Γ)Λ^1(Γ) is determined by the critical exponent of the first simple root under partial quasi-self-similarity.

Inspired by the Weierstrass representation of smooth affine minimal surfaces with indefinite metric, we propose a constructive process producing a large class of discrete surfaces that we call discrete affine minimal surfaces. We show that they are critical points of an affine area functional defined on the space of qu…

2008-03-10abs ↗pdf ↗

We give some examples of non-complete invariant affine connections on nilpotent and filiform Lie groups. This permits to describe non-nilpotent faithful representations on the model of filiform n-dimensional Lie algebras and, in particular, on the 3 dimensional Heisenberg algebra.

2000-07-11abs ↗pdf ↗

New method constructs proper affine actions of groups in higher dimensions.

problem Finding proper affine actions of discrete groups in higher-dimensional spaces.
method Higher strip deformations and Margulis invariant for properness.
result Affine actions of convex cocompact groups and virtually free groups are constructed properly.

Extend classical theory of affine processes to path-dependent setting

problem Path-dependent affine processes
method Introduce path-dependent coefficients and provide analytic formulas for their Fourier--Laplace transform
result Define path-dependent affine processes through their exponential-affine Fourier--Laplace transform and establish a characterization theorem

Motivation: Prediction of the interaction affinity between proteins and compounds is a major challenge in the drug discovery process. WideDTA is a deep-learning based prediction model that employs chemical and biological textual sequence information to predict binding affinity. Results: WideDTA uses four text-based inf…

2019-02-04abs ↗pdf ↗

Co-Diffusion predicts drug-target affinity by learning latent manifolds and diffusion, improving generalization.

problem Cold-start regimes in drug-target affinity prediction due to label scarcity and domain shifts.
method Two-stage framework: latent manifold alignment and latent diffusion regularization.
result Significantly outperforms state-of-the-art baselines, especially in zero-shot generalization.

Yau's Affine Normal Descent optimizes smooth unconstrained problems with geometrically adapted directions.

problem Optimizing smooth unconstrained problems with geometrically adapted directions.
method Yau's Affine Normal Descent (YAND) uses the equi-affine normal of level-set hypersurfaces as search directions.
result YAND converges globally under standard smoothness assumptions and locally quadratically near nondegenerate minimizers.