arXiv research

Bitcoin's monetary velocity is constrained by network friction, leading to significant utility contraction during shocks.

Detects intraday market manipulation by analyzing velocity of market state, improving precision over recall.

Optimal trading speeds are reduced by small quadratic costs, with specific velocity regimes identified.

Study finds multiple solutions for Gross-Pitaevskii equations on curved spaces.

Jointly estimates flow fields and particle properties from Lagrangian data.

The paper develops methods to reduce deployment risk under dynamic covariate shifts.

We discuss some aspects about the computation of kinematic, spectroscopic, Fermi and astrometric relative velocities that are geometrically defined in general relativity. Mainly, we state that kinematic and spectroscopic relative velocities only depend on the 4-velocities of the observer and the test particle, unlike F…

DSNE visualizes data velocity in lower dimensions.

A simple property of Weyl tensor in shear-free, vorticity-free, acceleration-free velocity fields.

Generative models use kernel smoothing for conditioning on small example sets.

RFM improves CNFs by adding a boundary constraint term and matching velocity fields.

Log-ergodic model improves velocity of money prediction.

Study shows polynomial-width neural networks can closely approximate infinite-width networks in polynomial time.

Optimal self-distillation improves generative models' velocity risk and mode recovery.

New method estimates velocity fields for minimizing $f$-divergences without overfitting.

Proves strong solutions for graphical Brakke flows with $L^2$ normal velocity.

CCVFM uses coreset to improve generative models by refining residual flows.

SAGE generates subsurface velocity models from sparse well logs and seismic images.

New method distinguishes cause from effect using causal velocity.

LFIS uses a time-dependent velocity field to sample from complex distributions.

NN-Turb generates turbulent velocity statistics using neural networks.

The determinants of the velocity of money have been examined based on life-cycle hypothesis. The velocity of money can be expressed by reciprocal of the average value of holding time which is defined as interval between participating exchanges for one unit of money. This expression indicates that the velocity is govern…

A conservative drifting method improves generative modeling by using KDE gradients, proving convergence rates.

Synthetic tabular data synthesis models balance utility and risk.

A new method interprets astrophysical spectra using geometric paths to distinguish line profiles.

Neural solver computes Wasserstein geodesics and velocity fields efficiently.

Develops scalable model for learning velocity fields in complex traffic scenarios.

Generative sampler learns velocity fields for efficient posterior inference.

An $(r,n)$-velocity is an $r$-jet with source at $0 \in \R^n$, and target in a manifold $Y$. An $(r,n)$-velocity is said to be regular, if it has a representative which is an immersion at $0 \in \R^{n}$. The manifold $T^{r}_{n}Y$ of $(r,n)$-velocities as well as its open, $L^{r}_{n}$-invariant, dense submanifold $\Imm …

Time dilation $\frac{1}{\sqrt{1-v^2}}$ and relative velocity $v$ are observationally indistinguishable in the special theory of relativity, a duality that carries over into the general theory under Fermi coordinates along a curve (in coordinate-independent language, in the tangent Minkowski space along the curve). For …

Extends square root velocity transform to handle curves in shape spaces of manifold-valued data.

Study uses neural networks to predict wall quantities in turbulent flows.

A new principle minimizes residual and introduces momentum to improve PDE solution dynamics.

The paper develops a new class of financial market models. These models are based on generalized telegraph processes: Markov random flows with alternating velocities and jumps occurring when the velocities are switching. While such markets may admit an arbitrage opportunity, the model under consideration is arbitrage-f…

In this study, the concept of dual Lorentzian homotetic exponential motions in is discussed and their velocities, accelerations obtained. Also, some geometric results between velocity and acceleration vectors of a point in a spatial motion are obtained. Finally, the theorems related to acceleration and acceleration cen…

A neural network models pressure-Hessian from local velocity gradients in turbulent flows.

Neural net reconstructs dark matter density from halo velocities.

We introduce a measure for estimating the best risk-return relation of power production in wind farms within a given time-lag, conditioned to the velocity field. The velocity field is represented by a scalar that weighs the influence of the velocity at each wind turbine at present and previous time-steps for the presen…

We generalise the description of the dynamics of the order book of financial markets in terms of a Brownian particle embedded in a fluid of incoming, exiting and annihilating particles by presenting a model of the velocity on each side (buy and sell) independently. The improved model builds on the time-averaged number …

Optimal control paths for autonomous vehicles infer velocity fields.

We have studied the statistical mechanics of money circulation in a closed economic system. An explicit statistical formulation of the circulation velocity of money is presented for the first time by introducing the concept of holding time of money. The result indicates that the velocity is governed by behavior pattern…

In this paper the dependence of wealth distribution and the velocity of money on the required reserve ratio is examined based on a random transfer model of money and computer simulations. A fractional reserve banking system is introduced to the model where money creation can be achieved by bank loans and the monetary a…

Clarifies method of phase synchronization for decoupling linear differential equations.

Neural network enhances seismic imaging in salt-prone areas.

Neural networks predict flow and elastic stresses in viscoelastic turbulence.

TVM improves generative modeling by matching terminal velocities.

GPMI method interpolates uncertain atrial conduction velocity on non-Euclidean manifolds.

The square root velocity framework is a method in shape analysis to define a distance between curves and functional data. Identifying two curves if they differ by a reparametrisation leads to the quotient space of unparametrised curves. In this paper we study analytical and topological aspects of this construction for …