Research
On-device research index

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.

168,695 papers · 148 categories

Trend · papers per month

7152229 · Dec 202519922001200920172026
48 results for Einstein midpoint

A new framework for hyperbolic neural networks using the Klein model is introduced.

problem Previous works focused on Poincaré and hyperboloid models, neglecting the Klein model.
method Formulation of operations using the Klein model, study of the Klein linear layer, and comparison with Poincaré ball model.
result The Klein HNN performs similarly to the Poincaré ball model, offering a third option.

The paper analyzes the randomized midpoint method for Langevin diffusions, revealing biases and asymptotic properties.

problem Analyzing biases and asymptotic properties of the randomized midpoint method for Langevin diffusions.
method Characterization of stationary distribution and asymptotic normality for numerical integration.
result The step-size needs to go to zero for the method to be asymptotically unbiased.

Solitons are special polygon midpoints under affine transformations.

problem Characterizing polygons whose midpoints under affine transformations form a new polygon.
method Analyzing midpoints polygons and their relationship to affine transformations and differential equations.
result A large class of polygons are on an orbit of a one-parameter subgroup of the affine group, and these curves are solutions to a specific differential equation.

We say that a pair of points x and y is secure if there exist a finite set of blocking points such that any geodesic between x and y passes through one of the blocking points. The main point of this paper is to exhibit new examples of blocking phenomena both in the manifold and the billiard table setting. As an approac…

2007-07-03abs ↗pdf ↗

We present a large scale hyperbolic recommender system. We discuss why hyperbolic geometry is a more suitable underlying geometry for many recommendation systems and cover the fundamental milestones and insights that we have gained from its development. In doing so, we demonstrate the viability of hyperbolic geometry f…

2019-02-22abs ↗pdf ↗

Poisson Midpoint Method improves Langevin Dynamics for diffusion models.

problem Slow convergence of LMC in diffusion models requiring many small steps.
method Poisson Midpoint Method approximates LMC with larger steps, proving quadratic speed up.
result Poisson Midpoint Method maintains quality of DDPM with fewer calls.

New sampling method improves efficiency for diffusion models.

problem Efficient sampling from arbitrary smooth distributions in polynomial time.
method Randomized midpoint method for log-concave sampling.
result Achieves best known dimension dependence (O~(d5/12)\widetilde O(d^{5/12})) for total variation distance.

Let MM be either the 2-sphere $\SS^2 \subset\RR^3$ or the hyperbolic plane $\HH^2 \subset \RR^3$. If Δ(abc)Δ(abc) is a geodesic triangle on MM with corners at a,b,cMa,b,c\in M, we denote by α,β,γMα, β, γ\in M the midpoints of their sides. If ΩΩ denotes the oriented area of this triangle on MM, it satisfies the relations: $$ \s…

2013-07-09abs ↗pdf ↗

Optimizes Lipschitz estimates for partitions of unity and characterizes spaces with Assouad-Nagata dimension.

problem Understanding the properties of partitions of unity and their Lipschitz bounds.
method Analyzes the standard partition of unity and its p\ell^p-generalizations, using the approximate midpoint property and Lebesgue number.
result Optimal Lipschitz bounds for partitions of unity and characterizes metric spaces with Assouad-Nagata dimension.

New analysis shows ROI's predictive power for stock returns weakens significantly.

problem The predictive power of retail order imbalance (ROI) for future stock returns.
method Replicated Boehmer et al. (2021) using a more recent period and analyzed the effect of using alternative quote midpoint (QMP) method.
result Past ROI can no longer predict weekly returns on large-cap stocks, and the long-short strategy based on past ROI is no longer profitable.

We show that for any point pp in a closed Riemannian manifold MM, there exists at least one point qMq\in M such that pp is critical for the distance function from qq. We also show that such a point qq cannot always be reached with geodesic loops based at qq with midpoint pp.

2014-08-20abs ↗pdf ↗

New set class preserves Fourier series terms for planar ovals, leading to isoperimetric inequalities.

problem Investigate geometric properties of kkth Order Preserving Sets and ovals.
method Introduce and analyze kkth Order Preserving Sets and Midpoint Sets; study geometric properties and isoperimetric inequalities.
result Established an isoperimetric-type inequality relating perimeter and area of ovals and their associated sets.

Study on symmetry defects of complete intersections in complex space.

problem Characterizing symmetry defects of complete intersections.
method Analyzing midpoints of chords connecting points in complete intersections.
result Symmetry defect of complete intersections is an algebraic variety.

We study the exponential map of connected symmetric spaces and characterize, in terms of midpoints and of infinitesimal conditions, when it is a diffeomorphism, generalizing the Dixmier-Saito theorem for solvable Lie groups. We then give a geometric characterization of the (strongly) exponential solvable symmetric spac…

2013-03-24abs ↗pdf ↗

A new method for sampling from posterior distributions in Bayesian inverse problems.

problem Sampling from posterior distributions in Bayesian inverse problems is challenging due to intractable terms.
method Proposes a novel approach that decomposes the transitions, allowing a trade-off between complexity of guidance term and prior transitions.
result Validated through experiments on various inverse problems, including challenging cases with latent diffusion models as priors.

Study compares 5 ODE solvers on 3 case studies, finding varying accuracy.

problem Comparing estimation accuracy of 5 ODE solvers on 3 case studies.
method Used 5 different numerical ODE solvers (Euler's, Heun's, Midpoint, Runge-Kutta 4th order, ODE45) on 3 case studies and compared their results.
result Different solvers have varying accuracy depending on the case study.

For a polygon in Euclidean space we consider a transformation T which is obtained by applying the midpoints polygon construction twice and using an index shift. For a closed polygon this is a curve shortening process. A polygon is called (affine) soliton of the transformation T if its image under T is an affine image o…

2015-08-28abs ↗pdf ↗

Motivated by the problem of optimal portfolio liquidation under transient price impact, we study the minimization of energy functionals with completely monotone displacement kernel under an integral constraint. The corresponding minimizers can be characterized by Fredholm integral equations of the second type with cons…

2017-06-15abs ↗pdf ↗

New method finds arbitrage opportunities in fluctuating asset bands.

problem Finding arbitrage opportunities in fluctuating asset bands.
method Formulate as maximizing volatility within a price band, using convex-concave optimization.
result Approximately solves non-convex optimization problem for moving-band arbitrage.

Study of J-Hermitian matrices and geometric mean definition.

problem Understanding the cone of J-Hermitian matrices and its geometric mean.
method Analysis of the cone structure, Riemannian structure, and definition of J-geometric mean.
result Uniquely characterized J-geometric mean defined as a solution to a Riccati-type equation.

Develops methods to simulate rare transitions in molecular systems.

problem Rare transitions between metastable states in molecular systems are difficult to study due to limited data.
method Two novel methods: chain-based and midpoint-based approaches.
result Demonstrates effectiveness of methods in both data-rich and data-scarce scenarios.

The price impact for a single trade is estimated by the immediate response on an event time scale, i.e., the immediate change of midpoint prices before and after a trade. We work out the price impacts across a correlated financial market. We quantify the asymmetries of the distributions and of the market structures of …

2017-10-22abs ↗pdf ↗

Study of qq-rationals and their geometric properties, including deformed Farey triangulation and Springborn operations.

problem Geometry of qq-rationals and their properties.
method Construction and analysis of deformed Farey triangulation and deformed modular surface; definition and study of Springborn operations.
result Derivation of a formula for the qq-deformed midpoint and new qq-deformation of Markov numbers.

An Einstein nilradical is a nilpotent Lie algebra, which can be the nilradical of a metric Einstein solvable Lie algebra. The classification of Riemannian Einstein solvmanifolds (possibly, of all noncompact homogeneous Einstein spaces) can be reduced to determining, which nilpotent Lie algebras are Einstein nilradicals…

2008-02-15abs ↗pdf ↗

Bismut Einstein metrics on complex manifolds are Kähler Einstein or Bismut Ricci flat.

problem Characterizing Bismut Einstein metrics on compact complex manifolds.
method Observing the (2,0)-part of Bismut Ricci form and using it to prove properties of the metrics.
result Bismut Einstein metrics with non-zero Einstein constant are Kähler Einstein, and those with zero are Bismut Ricci flat.

Study on Einstein deformations of negative Kähler Einstein metrics.

problem Understanding Einstein deformations of Kähler Einstein metrics.
method Relate second order Einstein deformation theory to complex geometry, gauge normalise, and use Taylor expansion.
result Taylor expansion to order two of an Einstein deformation is determined by h12h_1^2 and the divergence of the Kodaira-Spencer bracket.

The paper studies extended quasi-Einstein manifolds with special geometric properties and solitons.

problem Exploring new types of manifolds in general relativity.
method Generalization of existing manifolds and construction of specific examples.
result Existence and properties of extended quasi-Einstein manifolds with solitons.

In this article, we study Einstein-Weyl structures on almost cosymplectic manifolds. First we prove that an almost cosymplectic (κ,μ)(κ,μ)-manifold is Einstein or cosymplectic if it admits a closed Einstein-Weyl structure or two Einstein-Weyl structures. Next for a three dimensional compact almost αα-cosymplectic manifol…

2018-01-17abs ↗pdf ↗

This research analyzes and accelerates score-based diffusion models using discretization and Hessian information.

problem Theoretical foundations and convergence analysis of score-based diffusion models.
method Investigation of various discretization schemes, including Euler, exponential integrators, and midpoint randomization. Proposal of an accelerated sampler based on local linearization method.
result Hessian-based approach achieves faster convergence rates of order $\widetilde{\mathcal{O}}\left(\frac{1}{\varepsilon} ight)$, significantly improving upon vanilla diffusion models.

The paper shows that certain Einstein orbifolds cannot be limits of smooth Einstein metrics.

problem Understanding the limits of smooth Einstein metrics on compact Einstein orbifolds.
method Analyzing sequences of compact Einstein manifolds and their limits, providing an explicit obstruction for certain orbifolds.
result Explicit obstruction for negative Einstein orbifolds appearing as limits of compact Einstein manifolds, which does not vanish for hyperbolic orbifolds.

Weakly Einstein Kähler surfaces are characterized and classified.

problem Characterizing and classifying weakly Einstein Kähler surfaces.
method Several conditions and constructions to characterize and classify weakly Einstein Kähler surfaces.
result Classification of weakly Einstein Kähler surfaces with specific properties and construction of new examples.

Kaehler-Einstein metrics on orbifolds derived from Einstein sequences.

problem Desingularizing Einstein orbifolds with Kaehler-Einstein metrics.
method Analyzing sequences of smooth compact Einstein 4-manifolds converging to orbifolds.
result The limit orbifold is Kaehler-Einstein and one of the classified orbifold limits.

Compact quasi-Einstein metrics with constant scalar curvature are locally homogeneous in 3D.

problem Characterize compact quasi-Einstein metrics with constant scalar curvature.
method Connection to Sasakian geometry and circle bundles over Einstein metrics.
result Compact quasi-Einstein metrics with constant scalar curvature are locally homogeneous in 3D.