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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.

169,051 papers · 148 categories

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481115 · Oct 202319922001200920182026
48 results for marked fans

The paper generalizes Thurston's earthquake map to cluster algebras of finite type.

problem Tackling Thurston's earthquake map in the context of cluster algebras of finite type.
method Introducing a cluster algebraic generalization of Thurston's earthquake map, defined by gluing exponential maps.
result Proves an analogue of the earthquake theorem for cluster algebras of finite type, showing the cluster earthquake map is a homeomorphism.

A famous construction of Gelfand, Kapranov and Zelevinsky associates to each finite point configuration ARdA \subset \mathbb{R}^d a polyhedral fan, which stratifies the space of weight vectors by the combinatorial types of regular subdivisions of AA. That fan arises as the normal fan of a convex polytope. In a complete…

2017-08-29abs ↗pdf ↗

Fan tokens surged before World Cup matches, but declined during them, revealing cognitive biases.

problem Analyzing the impact of FIFA World Cup matches on fan tokens.
method Event study and intraday analysis of blockchain-based fan tokens.
result Fan tokens experienced a surge in returns six months before the World Cup, followed by a decline during the matches, revealing asymmetries in performance.

Tucker and Ky Fan's lemma are combinatorial analogs of the Borsuk-Ulam theorem (BUT). In 1996, Yu. A. Shashkin proved a version of Fan's lemma, which is a combinatorial analog of the odd mapping theorem (OMT). We consider generalizations of these lemmas for BUT-manifolds, i.e. for manifolds that satisfy BUT. Proofs rel…

2014-09-30abs ↗pdf ↗

The paper extends toric variety correspondence to 4D almost complex torus manifolds.

problem Extending toric variety correspondence to 4D almost complex torus manifolds.
method Associate combinatorial objects (families of multi-fans and graphs) to 4D almost complex torus manifolds and find conditions for their equivalence.
result Minimal models and operations for combinatorial objects, and equivalence between 4D complex torus manifolds and their minimal models.

We study the geometry of fanning curves in the Grassmann manifold of n-dimensional subspaces of Rkn\mathbb{R}^{kn}; we construct a complete system of invariants which solve the congruence problem. The geometry of the invariants themselves and their relation with classical invariants is also studied.

2014-12-10abs ↗pdf ↗

A new scaling calculus helps design and initialize ReLU networks more effectively.

problem Optimizing the design and initialization of ReLU neural networks.
method Proposes a scaling constant for neural network layers and weights, relating it to optimizability.
result A network with a uniform scaling constant is easier to train, and the geometric mean of fan-in and fan-out is a better initialization variance.

A planar portrait of a manifold is the pair of the image and the critical values of the manifold through a stable map into the plane. It can be considerd a geometric representation of the manifold drawn in the plane. The cusped fan is its basic local configuration. In this article, we focus on the fibreing structure ov…

2007-03-19abs ↗pdf ↗

Researchers extend period maps for Calabi-Yau types using modified Kato-Nakayama-Usui construction.

problem Existence of weak fans for non-classical period maps of weight 3 Calabi-Yau type.
method Modified Kato-Nakayama-Usui construction for period maps of weight 3 Calabi-Yau type.
result Existence of weak fans for a large class of period maps of weight 3 Calabi-Yau type.

We describe structure of fans for toric varieties with signature 0.

problem Understanding the cases where even degree Betti numbers yield a top gamma vector component equal to 0.
method Using wall crossings and combinatorial information from suspension and linear dependence.
result A simple method of generating induced 4-cycles covering minimal objects.

Sharp stability estimate for tensor tomography in non-positive curvature.

problem Stability estimate for tensor tomography on manifolds with non-positive curvature.
method Pestov identity with localized frequency boundary term.
result Stability estimate of the form L2HT1/2L^2\mapsto H^{1/2}_{T}.

Reconstructing polytopes with fixed facet directions from support function evaluations.

problem Reconstructing polytopes with known facet directions from limited data.
method Least-squares estimate via convex quadratic program, combinatorial characterization for uniqueness, algorithm convergence.
result The least-squares estimate for a fixed simplicial normal fan is a convex quadratic program, and the solution is unique under certain conditions.

Paper reduces turbomachinery CFD simulations by identifying key dimensions.

problem Reducing computational cost in turbomachinery 3D CFD simulations.
method Statistical sufficient dimension reduction methods and polynomial variable projection.
result Polynomial variable projection accurately identifies dimension reducing subspaces at lower cost.

Multimodal learning with deep Boltzmann machines (DBMs) is an generative approach to fuse multimodal inputs, and can learn the shared representation via Contrastive Divergence (CD) for classification and information retrieval tasks. However, it is a 2-fan DBM model, and cannot effectively handle multiple prediction tas…

2015-03-26abs ↗pdf ↗

We study the geometry of an important class of generic curves in the Grassmannian manifolds of nn-dimensional subspaces and Lagrangian subspaces of R2nR^{2n} under the action of the linear and linear symplectic group.

2005-02-23abs ↗pdf ↗

Although much progress has been made in classification with high-dimensional features \citep{Fan_Fan:2008, JGuo:2010, CaiSun:2014, PRXu:2014}, classification with ultrahigh-dimensional features, wherein the features much outnumber the sample size, defies most existing work. This paper introduces a novel and computation…

2016-11-04abs ↗pdf ↗

We present a marked analogue of Carter and Saito's movie theorem. Our definition of marking was chosen to coincide with the markings that arise in link Floer homology. In order to deal with complications arising from certain isotopies, we define three equivalence relations for marked surfaces and work over an equivalen…

2014-07-17abs ↗pdf ↗

We are now witnessing the increasing availability of event stream data, i.e., a sequence of events with each event typically being denoted by the time it occurs and its mark information (e.g., event type). A fundamental problem is to model and predict such kind of marked temporal dynamics, i.e., when the next event wil…

2017-01-14abs ↗pdf ↗

New model captures time and mark inter-dependence in TPPs.

problem Limited predictive performance of conditionally independent TPP models on entangled time and mark interactions.
method Developed a multivariate TPP that models conditional inter-dependence of time and mark, using both intensity-based and intensity-free models.
result Proposed TPP models outperform conditionally independent and dependent models in standard prediction tasks.

Methodology for estimating marked Hawkes processes with neural networks.

problem Estimating conditional intensity of marked Hawkes processes.
method Proposes two models: Shallow Neural Hawkes with marks and Neural Network for Non-Linear Hawkes with Marks.
result Validation on synthetic datasets and real-world cryptocurrency order book data.

Let t1,,tnt_1,\ldots,t_n be \ell-group terms in the variables X1,,XmX_1,\ldots,X_m. Let t^1,,t^n\hat t_1,\ldots,\hat t_n be their associated piecewise homogeneous linear functions. Let GG be the \ell-group generated by t^1,,t^n\hat t_1, \ldots,\hat t_n in the free mm-generator \ell-group Am.\mathcal A_m. We prove: (i) the problem …

2015-07-03abs ↗pdf ↗

Unified learning-rate scale for CNNs and ResNets, avoiding depth imbalance.

problem Challenges in choosing an appropriate learning rate for deep networks, especially as depth increases.
method Introduces Arithmetic-Mean μμP (AM-μμP), constraining network-wide average pre-activation second moment to a constant scale, combined with residual-aware He fan-in initialization.
result Demonstrates a 3/2-3/2 scaling law for learning rates across depths, enabling zero-shot learning-rate transfer.

Survey on decorated marked surfaces for Calabi-Yau categories.

problem Understanding Calabi-Yau categories and related structures.
method Introducing decorations on marked surfaces to study various categories.
result Exploration of Calabi-Yau-2 and 3 categories, braid groups, quadratic differentials, and stability conditions.

Study approximate marked length spectrum rigidity in non-positively curved groups.

problem Approximate rigidity of marked length spectra in non-positively curved groups.
method Compare marked length spectra of isometric actions of groups with non-positively curved features.
result Supremum of quotient of marked length spectra is approximately determined by restricted spectra.

Predict cell loads in cellular networks using statistical learning of geometric marks.

problem Predicting cell loads in cellular networks using geometric marks.
method Statistical regression model and scattering moments of random measures.
result Scattering moments can capture similar geometry information as baseline approach and improve performance.

SMART-FAN-Lasso fine-tunes neural networks for high-dimensional nonparametric regression.

problem Fine-tuning neural networks for high-dimensional nonparametric regression with variable selection.
method Source-model-augmented residual tuning (SMART) framework for neural Lasso.
result SMART-FAN-Lasso achieves statistical acceleration over single-task learning under precise conditions.

We use Fox calculus to assign a marked polytope to a `nice' group presentation with two generators and one relator. Relating the marked vertices to Novikov-Sikorav homology we show that they determine the Bieri-Neumann-Strebel invariant of the group. Furthermore we show that in many cases the marked polytope is an inva…

2015-01-14abs ↗pdf ↗

In a finite-dimensional real vector space furnished with a rational structure with respect to a subfield of the field of real numbers, every (simplicial) rational semifan is contained in a complete (simplicial) rational semifan. In this paper this result is proved constructively on use of techniques from polyhedral geo…

2011-07-13abs ↗pdf ↗

Quantum duality map extended to general marked surfaces and its compatibility with skein algebras proven.

problem Generalizing quantum duality map to general marked surfaces and proving its compatibility with skein algebras.
method Generalized quantum duality map, reduced stated skein algebras, quantum trace maps, skein lifting.
result Compatibility of quantum duality map with skein algebras proven.

In this paper, we construct the moduli space of marked oper structures on a closed, oriented smooth surface of negative Euler characteristic as a holomorphic fiber bundle over Teichmüller space. We prove that the holonomy map from the space of marked oper structures to the moduli space of reductive flat bundles is a ho…

2018-04-12abs ↗pdf ↗

Given an arbitrary non-zero simplicial cycle and a generic vector coloring of its vertices, there is a way to produce a graded Poincare duality algebra associated with these data. The procedure relies on the theory of volume polynomials and multi-fans. This construction includes many important examples, such as cohomol…

2016-07-13abs ↗pdf ↗