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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.

168,742 papers · 148 categories

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127254381508 · Jun 202019922001200920172026
48 results for higher direct images

In this article we are interested in the differential geometric properties of certain higher direct images of exterior powers of the sheaf of relative differentials twisted with a line bundle. We obtain explicit curvature formulas, especially in case where the said line bundle satisfies a natural curvature assumption. …

2017-04-07abs ↗pdf ↗

Given a holomorphic family f:XSf:\mathcal{X} \to S of compact complex manifolds of dimension nn and a relatively ample line bundle LXL\to \mathcal{X}, the higher direct images RnpfΩX/Sp(L)R^{n-p}f_*Ω^p_{\mathcal{X}/S}(L) carry a natural hermitian metric. We give an explicit formula for the curvature tensor of these direct images.…

2016-11-28abs ↗pdf ↗

In this paper we explain how non-abelian Hodge theory allows one to compute the L2L^2 cohomology or middle perversity higher direct images of harmonic bundles and twistor D-modules in a purely algebraic manner. Our main result is a new algebraic description for the fiberwise L2L^2 cohomology of a tame harmonic bundle o…

2016-12-19abs ↗pdf ↗

The paper studies curvature properties of sheaves of twisted holomorphic forms on families of compact Kähler manifolds.

problem Investigating curvature properties of sheaves of twisted holomorphic forms on families of compact Kähler manifolds.
method Derives a general curvature formula and explores special cases.
result Provides insight into geometric and analytical properties of curvature in various contexts.

Given a holomorphic family f:XSf:\mathcal{X} \to S of compact complex manifolds and a relative ample line bundle LXL\to \mathcal{X}, the higher direct images RnpfΩX/Sp(L)R^{n-p}f_*Ω^p_{\mathcal{X}/S}(L) carry a natural hermitian metric. Using the explicit formula for the curvature tensor of these direct images, we prove that the d…

2016-12-02abs ↗pdf ↗

Paper proposes a faster, higher-quality RL method for text-to-image models.

problem Improving image quality and prompt alignment in RL post-training of text-to-image models.
method Online RL variant that reduces variance by sampling paired trajectories and optimizing flow velocity.
result Method converges faster and yields higher output quality and prompt alignment.

Let π:XMπ:\mathcal{X}\to M be a holomorphic fibration with compact fibers and LL a relatively ample line bundle over X\mathcal{X}. We obtain the asymptotic of the curvature of L2L^2-metric and Qullien metric on the direct image bundle π(LkKX/M)π_*(L^k\otimes K_{\mathcal{X}/M}) up to the lower order terms than kn1k^{n-1} for la…

2017-12-16abs ↗pdf ↗

PGD-trained models have a preferential direction in their gradients, which improves robustness.

problem Mathematical lack of clarity in the direction of preferential gradient alignment after adversarial training.
method Proposed a novel definition of preferential direction and evaluated it using a metric based on GANs.
result PGD-trained models have higher alignment with the proposed preferential direction than baseline models.

Given an effectively parameterized family f:XSf:X\to S of canonically polarized manifolds, the Kähler-Einstein metrics on the fibers induce a hermitian metric on the relative canonical bundle KX/SK_{X/S}. We use a global elliptic equation to show that this metric is strictly positive everywhere and give estimates. The dire…

2010-02-25abs ↗pdf ↗

Machine learning speeds up FLIM analysis in biomedical research.

problem Complex, slow, and computationally expensive FLIM analysis.
method Machine learning techniques for faster and smarter FLIM data extraction and interpretation.
result Higher accuracy in classifying and segmenting FLIM images compared to conventional methods.

For proper surjective holomorphic maps from K"ahler manifolds to analytic spaces, we give a decomposition theorem for the cohomology groups of the canonical bundle twisted by Nakano semi-positive vector bundles by means of the higher direct image sheaves, by using the theory of harmonic integrals developed by Takegoshi…

2015-11-13abs ↗pdf ↗

A method for camera calibration using heatmap regression for fisheye images.

problem Accurate and robust camera angle estimation from fisheye images in the Manhattan world.
method Heatmap regression to detect directions of labeled image coordinates, simultaneous rotation and fisheye distortion recovery.
result Our method outperforms conventional methods on large-scale datasets and with off-the-shelf cameras.

New method quantifies uncertainty in denoising models.

problem Uncertainty quantification in denoising models.
method Derives a relation between posterior moments and derivatives, uses it for efficient uncertainty quantification.
result Efficient computation of principal components and full marginal distributions of the posterior.

Study slopes of direct images in complex manifolds, proving a Mehta-Ramanathan type theorem.

problem Distribution of Harder-Narasimhan slopes in direct image sheaves.
method Analyzing asymptotic distributions of slopes under base changes of families of complex projective manifolds.
result Asymptotic distribution of slopes can be recovered from base changes over generic curves.

The paper studies volumes of direct images for high tensor powers of ample bundles.

problem Understanding asymptotics of Monge-Ampère volumes for high tensor powers of ample line bundles.
method Analyzes the leading term of asymptotics and classifies bundles saturating a topological bound.
result Provides a characterization of bundles admitting projectively flat Hermitian structures in the case of high symmetric powers of ample vector bundles.

Study proves rigidity theorems for ancient solutions to mean curvature flow with convex image.

problem Rigidity of ancient solutions to mean curvature flow with convex Gauss image.
method Refined curvature estimates.
result Better rigidity theorems for ancient solutions in higher codimension.

pLSTM tackles long-range language modeling and computer vision tasks with parallelizable linear source transition mark networks.

problem Challenges of existing recurrent architectures in handling sequences and multi-dimensional data.
method Introduces pLSTM, a parallelizable linear source transition mark network for linear graphs and DAGs, addressing vanishing/exploding activation/gradient issues.
result pLSTM outperforms Transformers in long-range tasks like arrow-pointing extrapolation and image size extrapolation.

NegToMe uses images to guide text-based models away from unwanted visual elements.

problem Insufficient text-based adversarial guidance for complex visual concepts.
method Negative token merging (NegToMe) using visual features from reference images.
result Significantly enhances output diversity and reduces visual similarity to copyrighted content.

The paper defines and analyzes homotopic rotation sets for surfaces of higher genus.

problem Defining and analyzing homotopic rotation sets for surfaces of higher genus.
method Developed a definition and proved several results using the theory of Le Calvez and Tal.
result Found that the homotopic rotation set can imply the existence of infinitely many periodic orbits under certain conditions.

Geometric quantization often produces not one Hilbert space to represent the quantum states of a classical system but a whole family HsH_s of Hilbert spaces, and the question arises if the spaces HsH_s are canonically isomorphic. [ADW] and [Hi] suggest to view HsH_s as fibers of a Hilbert bundle HH, introduce a connec…

2010-04-27abs ↗pdf ↗

Paper introduces a framework for diagnosing Alzheimer's disease using higher-order topological features from fMRI.

problem Diagnosing Alzheimer's disease using brain network topology.
method Persistent homology to extract higher-order features (cycles, cavities) from fMRI data.
result Framework significantly outperforms existing methods in AD classification.

Proves curvature positivity of invariant direct images in complex geometry.

problem Curvature positivity of invariant direct images in complex geometry.
method Compact group action and Hörmander's L2L^2 theory of ˉ\bar\partial.
result Direct image of Nakano positive vector bundle is Nakano positive.

We show that the recently introduced L1TV functional can be used to explicitly compute the flat norm for co-dimension one boundaries. While this observation alone is very useful, other important implications for image analysis and shape statistics include a method for denoising sets which are not boundaries or which ha…

2006-12-11abs ↗pdf ↗

Let MM be a hyperkaehler manifold, and FF a torsion-free and reflexive coherent sheaf on MM. Assume that FF (outside of its singularities) admits a connection with a curvature which is invariant under the standard SU(2)-action on 2-forms. If the curvature is square-integrable, then FF is stable and its singulariti…

2001-07-24abs ↗pdf ↗

Randomized fiber projections enhance neural network accuracy.

problem Improving neural network performance with limited resources.
method Training neural networks on randomized speckled images from multi-mode fiber projectors.
result Classification accuracy is higher with randomized fiber data than with direct images.

For one-parameter degenerations of compact Kähler manifolds, we determine the asymptotic behavior of the first Chern form of the direct image of a Nakano semi-positive vector bundle twisted by the relative canonical bundle, when the direct image is equipped with the L2-metric.

2010-07-16abs ↗pdf ↗

Bidirectional VAE reduces parameters and improves image tasks.

problem Improving image reconstruction, classification, interpolation, and generation.
method Uses a single neural network for both encoding and decoding in both forward and backward directions.
result Bidirectional VAEs reduce parameters by almost 50% and slightly outperform unidirectional VAEs.

We prove that any action of a higher rank lattice on a Gromov-hyperbolic space is elementary. More precisely, it is either elliptic or parabolic. This is a large generalization of the fact that any action of a higher rank lattice on a tree has a fixed point. A consequence is that any quasi-action of a higher rank latti…

2016-07-07abs ↗pdf ↗

An analytic approach and description are presented for the moduli cotangent sheaf for suitable stable curve families including noded fibers. For sections of the square of the relative dualizing sheaf, the residue map at a node gives rise to an exact sequence. The residue kernel defines the vanishing residue subsheaf. F…

2012-04-17abs ↗pdf ↗

Defines complex structure for families of Hilbert spaces with reasonable curvature.

problem Curvature of families of Hilbert spaces not forming a holomorphic bundle.
method Defines a new complex analytic structure and curvature for families of Hilbert spaces.
result New proof of Berndtsson's theorem on curvature of direct images of semi-positively twisted relative canonical bundles.