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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.

168,657 papers · 148 categories

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1223 · Oct 201819922001200920172026
48 results for CMS

Enhances CMS with Bayesian nonparametrics for better low-frequency token estimation.

problem Improving frequency estimation of low-frequency tokens in data streams.
method Integrates Bayesian nonparametrics (Pitman-Yor process) into CMS for more accurate frequency estimation.
result CMS-PYP outperforms CMS and CMS-DP in estimating low-frequency tokens.

E2^2CM uses class means for efficient early exits in neural networks.

problem Efficient early exits in neural networks with low computational cost.
method Early Exit Class Means (E2^2CM) based on class means of samples, without gradient-based training.
result E2^2CM achieves higher accuracy with fixed training time budget and boosts existing early exit schemes.

Sparse regression models CMs from oscillatory shear data efficiently.

problem Discovering parsimonious constitutive models from oscillatory shear experiments.
method Sparse regression with tensor basis functions, l1 regularization, and greedy two-stage algorithm.
result Inferred CMs extrapolate well beyond training data and flow conditions.

ADCMs adaptively discretize CMs for efficient training.

problem Manual discretization schemes cause repeated adjustments for different noise schedules and datasets.
method Unified framework with optimization problem, local and global consistency constraints, and Gauss-Newton method.
result Significantly improve training efficiency and generative performance of CMs.

The paper rethinks the use of exponential averaging in machine learning optimization.

problem The inefficiency of using exponential averaging in optimization algorithms.
method The paper connects EA-CM algorithms to Wake of Quadratic regularized models and proposes new algorithms, KLD-WRM.
result The new algorithms outperform existing methods like K-FAC on MNIST.

Study on positivity of CM line bundles on moduli space of klt good minimal models with κ=1.

problem Positivity of CM line bundles on moduli space of klt good minimal models with κ=1.
method Construction of a moduli space of numerical equivalence classes, proving projectivity of moduli space of ε-stable quotients, and using K-moduli of quasimaps.
result CM line bundle becomes ample after normalization and moduli space is quasi-projective.

We develop the connection between equivariant completions of algebraic homogeneous spaces of reductive groups and lower bounds for the Mabuchi energy of a polarized manifold over the space of Bergman metrics. We provide a new definition of Tian's CM Polarization and discuss its properties.

2012-06-21abs ↗pdf ↗

Study calculates volumes of Fano K-moduli spaces in various dimensions.

problem Computing volumes of Fano K-moduli spaces in different dimensions.
method Computed volumes of Fano K-moduli spaces of Quartic del Pezzo and log Fano hyperplane arrangements in dimensions one and two.
result Relates computed volumes to Weil-Petersson volumes, extending the Weil-Petersson metric to the log case.

We identify the difference between the CM polarisation and the Chow polarisation on the ``Hilbert scheme''. As a consequence, we give a numerical criterion for the CM stability as in Mumfords' G.I.T.. Also, we write down an explicit formula for the generalised futaki invariant interms of weights and multiplicities of t…

2004-04-12abs ↗pdf ↗

Optimizes CM for stochastic convex optimization with progressive precision.

problem Stochastic nature of objective function in convex optimization.
method Iterative coordinate minimization with optimal precision control.
result Order-optimal regret performance for strongly convex and nonsmooth functions.

Improved continuous-time consistency models for large-scale image generation.

problem Training instability and discretization errors in existing diffusion models.
method Unified theoretical framework, improved diffusion process, and network architecture.
result Trained continuous-time CMs at 1.5B parameters, achieving state-of-the-art FID scores.

Study compares two market clearing methods for European power markets.

problem Optimizing market clearing for European power markets considering cost and social welfare.
method Introduces Cost Minimization and Social Welfare Maximization models, and four algorithms to solve the CM model.
result Cost Minimization reduces market power and decreases total procurement cost.

Bayesian nonparametric CMS improves frequency estimation for power-law data.

problem Estimating frequencies of low-frequency tokens in power-law data streams.
method Developed a learning-augmented count-min sketch using a normalized inverse Gaussian process prior.
result The approach achieves remarkable performance in estimating low-frequency tokens.

The Mabuchi K-energy map is exhibited as a singular metric on the refined CM polarization of any equivariant family XpS\mathbf{X}\overset{p}{\to} S. Consequently we show that the generalized Futaki invariant is the leading term in the asymptotics of the reduced K-energy of the generic fiber of the map pp. Properness of…

2006-06-20abs ↗pdf ↗

In this note we identify the leading terms of the (reduced) K-energy map with a universal linear combination of the principal and subdominant coefficients of the weight of the mthmth Hilbert point. This shows that the weight F1(λ;X)F_{1}(λ;X) introduced by Donaldson in [SKD02] is just the weight of the CM-polarisation.The eq…

2004-05-27abs ↗pdf ↗

Develops a framework for consistent pricing of interest rate derivatives.

problem Consistent pricing of bivariate interest rate exotics across interconnected markets.
method Schrödinger optimal transport problem with constraints.
result Demonstrates practical applicability and no-arbitrage bounds computation.

CTM improves diffusion model sampling quality with efficient ODE traversal.

problem Lack of natural trade-off between sample quality and speed in consistency models.
method CTM trains a neural network to output scores and traverse ODE trajectories efficiently.
result CTM achieves state-of-the-art FIDs and improves sample quality with increased computational budget.

In this paper, we consider the CM line bundle on the K-moduli space, i.e., the moduli space parametrizing K-polystable Fano varieties. We prove it is ample on any proper subspace parametrizing reduced uniformly K-stable Fano varieties which conjecturally should be the entire moduli space. As a corollary, we prove that …

2019-12-30abs ↗pdf ↗

Structured high-cardinality data arises in many domains, and poses a major challenge for both modeling and inference. Graphical models are a popular approach to modeling structured data but they are unsuitable for high-cardinality variables. The count-min (CM) sketch is a popular approach to estimating probabilities in…

2016-02-09abs ↗pdf ↗

Weil-Petersson volumes vary continuously with weighted points on a projective line.

problem Continuity of Weil-Petersson volumes in moduli space with weighted points.
method Localization and geometric computation methods.
result CM volume converges to geometric volume as weights approach Calabi-Yau geometry.

An asymptotic formula for the Tian-Paul CM-line of a flat family blown-up at a flat closed sub-scheme is given. As an application we prove that the blow-up of a polarized manifold along a (relatively) Chow-unstable submanifold admits no (extremal) constant scalar curvature Kahler metrics in classes making the exception…

2008-10-30abs ↗pdf ↗

A large set of daily FOREX time series is analyzed. The corresponding correlation matrices (CM) are constructed for USD, EUR and PLZ used as the base currencies. The triangle rule is interpreted as constraints reducing the number of independent returns. The CM spectrum is computed and compared with the cases of shuffle…

2006-06-02abs ↗pdf ↗

Unified model learns joint and individual features from brain imaging data.

problem Integrating structural and functional connectivity data for behavioral phenotypes.
method Cross-Modal Joint-Individual Variational Network (CM-JIVNet) with multi-head attention fusion.
result CM-JIVNet outperforms in cross-modal reconstruction and behavioral trait prediction.

Low-cost water-level tracking using LTE power metrics and wavelet analysis.

problem Real-time water-level monitoring across many locations with fixed instruments.
method Extracts per-antenna RSRP, RSSI, and RSRQ, applies CWT to RSRP, and uses a neural network to track water-level changes.
result Achieves root-mean-square and mean-absolute errors of 0.8 cm and 0.5 cm, respectively, under line-of-sight conditions.

In a seminal paper published in 19681968, J. Simons proved that, for n5n\leq 5, the Euclidean (minimal) cone CMCM, built on a closed, oriented, minimal and non totally geodesic hypersurface MnM^n of Sn+1\mathbb S^{n+1} is unstable. In this paper, we extend Simons' analysis to {\em warped} (minimal) cones built over a close…

2014-03-13abs ↗pdf ↗

This is the first part of a trilogy where we apply the theory of virtual manifold/orbifolds developed by the first named author and Tian to study the Gromov-Witten moduli spaces. In this paper, we resolve the main analytic issue arising from the lack of differentiability of $PSL(2, \C)$-action on spaces of W1,pW^{1, p}-m…

2013-06-14abs ↗pdf ↗

In this paper, we discuss stable pairs, which were first studied by S. Paul, and give a proof for a result I learned from him. As a consequence, we will show that the K-stability implies the CM-stability.

2018-12-14abs ↗pdf ↗

21cmEMU speeds up EoR simulations by 10^4x, predicting key observables with sub-percent accuracy.

problem Efficiently simulating and inferring Epoch of Reionization properties from limited computational resources.
method Developed an emulator for 21cmFAST simulation outputs, reducing computational cost by 10^4x.
result Sub-percent accurate predictions of 6 key observables from EoR simulations.