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.

168,742 papers · 148 categories

Trend · papers per month

10213141 · Jun 202619922001200920172026
48 results for homology $S^1 imes S^3$

Study of Khovanov homology invariants from U(1)imesU(1)U(1) imes U(1)-equivariant algebra.

problem Understanding concordance invariants from Khovanov homology.
method Analysis of U(1)imesU(1)U(1) imes U(1)-equivariant Khovanov homology using algebraic filtrations.
result Extracted two families of concordance invariants.

The paper calculates a specific invariant for a manifold with a circle action.

problem Computing an invariant for manifolds with circle actions.
method Using the Mrowka-Ruberman-Saveliev invariant and a free circle action.
result The Seiberg-Witten-Casson invariant of S1imesS3S^1 imes S^3 with a circle action is computed.

Proves additivity of Casson-Seiberg-Witten invariant for a specific 4-manifold.

problem Additivity of Casson-Seiberg-Witten invariant for integral homology S1imesS3S^1 imes S^3.
method Proves additivity under fiber sum along embedded curves and embedded tori.
result Establishes the 44-dimensional analogue of the Casson invariant additivity.

Formulae prove equivalence of two invariants on specific 4-manifolds.

problem Equivalence of two invariants on homology S1imesS3S^1 imes S^3.
method Surgery and excision formulas for Furuta-Ohta invariant λFOλ_{FO}.
result Computes λFOλ_{FO} of certain families of manifolds.

Let N_1, N_2, M be smooth manifolds with dim N_1 + dim N_2 +1 = dim M$ and let phi_i, for i=1,2, be smooth mappings of N_i to M with Im phi_1 and Im phi_2 disjoint. The classical linking number lk(phi_1,phi_2) is defined only when phi_1*[N_1] = phi_2*[N_2] = 0 in H_*(M). The affine linking invariant alk is a generaliza…

2003-02-25abs ↗pdf ↗

Humans are capable of building holistic representations for images at various levels, from local objects, to pairwise relations, to global structures. The interpretation of structures involves reasoning over repetition and symmetry of the objects in the image. In this paper, we present the Program-Guided Image Manipula…

2019-09-04abs ↗pdf ↗

Let $-\im\Lie_\T$ (essentially Lie derivative with respect to $\T$, a smooth nowhere zero real vector field) and PP be commuting differential operators, respectively of orders 1 and m1m\geq 1, the latter formally normal, both acting on sections of a vector bundle over a closed manifold. It is shown that if $P+(-i\Lie_…

2013-01-24abs ↗pdf ↗

A new framework maximizes influence spread in social networks by accounting for inter-community diffusion.

problem Real-world social networks have inter-community influence that is often overlooked in community-based IM approaches.
method Community-IM++ uses a heuristic based on community-based diffusion degree and progressive budgeting to model and prioritize cross-community diffusion.
result Community-IM++ achieves near-greedy influence spread at up to 100 times lower runtime than existing methods.

Proposes EDESH-SA for better inventory management under uncertainty.

problem Inventory management under uncertainty.
method Ensemble Differential Evolution with simulation-based hybridization and self-adaptation.
result Improves financial performance and optimizes search spaces.

Language models perform worse with implicit reward models than explicit ones.

problem Understanding why implicit reward models generalize worse than explicit ones.
method Investigated the root cause of the generalization gap between IM-RMs and EX-RMs.
result Implicit reward models rely more on superficial token-level cues, leading to worse generalization.

New method recovers relative rates in spatial compositional data from IMS.

problem Challenges in analyzing spatial data from IMS due to competitive sampling.
method Hierarchical Variational Graph Fused Lasso using heavy-tailed graphical lasso prior and automatic differentiation variational inference.
result Our method outperforms state-of-the-practice point estimate methodologies in IMS and has superior posterior coverage.

Prove existence of SO(3)imesSO(8)SO(3) imes SO(8)-invariant Einstein metric on S3imesS7S^3 imes S^7

problem Prove existence of SO(3)imesSO(8)SO(3) imes SO(8)-invariant Einstein metric on S3imesS7S^3 imes S^7
method Prove existence of SO(3)imesSO(8)SO(3) imes SO(8)-invariant Einstein metric on S3imesS7S^3 imes S^7
result Prove existence of SO(3)imesSO(8)SO(3) imes SO(8)-invariant Einstein metric on S3imesS7S^3 imes S^7

Optimizes treatment allocation in networks considering indirect effects.

problem Finding optimal treatment allocation in network settings with interference.
method OTAPI: Optimizing Treatment Allocation in the Presence of Interference, integrating causal estimators into IM algorithms.
result OTAPI outperforms classic IM and UM approaches on synthetic and semi-synthetic datasets.

ALTBI enhances outlier detection by maximizing the inlier-memorization effect.

problem Improving outlier detection models via optimization of inlier-memorization effect.
method ALTBI introduces two techniques: increasing mini-batch size and using adaptive threshold for truncated loss function.
result ALTBI achieves state-of-the-art performance in identifying outliers with lower computation costs.

In this work, we study Lie groupoids equipped with multiplicative foliations and the corresponding infinitesimal data. We determine the infinitesimal counterpart of a multiplicative foliation in terms of its core and sides together with a partial connection satisfying special properties, giving rise to the concept of I…

2011-09-21abs ↗pdf ↗

This article prices OTC derivatives with either an exogenously determined initial margin profile or endogenously approximated initial margin. In the former case, margin valuation adjustment (MVA) is defined as the liability-side discounted expected margin profile, while in the latter, an extended partial differential e…

2015-12-23abs ↗pdf ↗

A novel framework IMBoost improves outlier detection by leveraging the inlier memorization effect.

problem Challenges in unsupervised outlier detection, especially when inliers and outliers are not well-separated or form dense clusters.
method IMBoost framework that incorporates active learning to selectively acquire informative labels and explicitly reinforce the inlier memorization effect.
result IMBoost significantly outperforms state-of-the-art active outlier detection methods and requires less computational cost.

Algorithm ensures fair information spread in social networks with community structure.

problem Disparities in information coverage between communities in social networks.
method Fits a model to the social network, uses community structure, and determines optimal seed allocations for fair coverage.
result Empirical accuracy demonstrated on simulated and real networks.

Motivation: Tumor classification using Imaging Mass Spectrometry (IMS) data has a high potential for future applications in pathology. Due to the complexity and size of the data, automated feature extraction and classification steps are required to fully process the data. Deep learning offers an approach to learn featu…

2017-05-02abs ↗pdf ↗

DQ4FairIM uses RL to maximize influence while ensuring fairness across all groups.

problem Fairness in influence maximization in social networks.
method Fairness-aware deep RL method using Structure2Vec network embedding.
result DQ4FairIM achieves higher fairness than fairness-agnostic and fairness-aware baselines.

We introduce a dynamic model of the default waterfall of derivatives CCPs and propose a risk sensitive method for sizing the initial margin (IM), and the default fund (DF) and its allocation among clearing members. Using a Markovian structure model of joint credit migrations, our evaluation of DF takes into account the…

2018-03-06abs ↗pdf ↗

In this paper, by using the G2G_2-structure on Im(O)R7(\mathbb O)\cong\mathbb R^7 from the octonions O\mathbb O, the G2G_2-binormal motion of curves γ(t,s)γ(t,s) in R7\mathbb R^7 associated to the almost complex structure on S6\mathbb S^6 is studied. The motion is proved to be equivalent to Schrödinger flows from $\mathbb R^…

2018-10-18abs ↗pdf ↗

In an earlier paper, we studied manifolds MM endowed with a generalized F structure ΦEnd(TMTM)Φ\in End(TM\oplus T^*M), skew-symmetric with respect to the pairing metric, such that Φ3+Φ=0Φ^3+Φ=0. Furthermore, if ΦΦ is integrable (in some well-defined sense), ΦΦ is a generalized CRF structure. In the present paper we study quasi-…

2016-04-05abs ↗pdf ↗

Special orthogonal representations from octonions have geometric properties linked to binary cubics.

problem Understanding geometric properties of special orthogonal representations from octonions.
method Using octonions and their derivations, spinors, and covariants to show geometric properties.
result Covariants and Mathews identities of these representations are related to the Fano plane and (Z2)3(\mathbb{Z}_2)^3.

We consider a joint processing of nn independent sparse regression problems. Each is based on a sample (yi1,xi1)...,(yim,xim)(y_{i1},x_{i1})...,(y_{im},x_{im}) of mm \iid observations from $y_{i1}=x_{i1}\tβ_i+\eps_{i1}$, yi1Ry_{i1}\in \R, xi1Rpx_{i 1}\in\R^p, i=1,...,ni=1,...,n, and $\eps_{i1}\dist N(0,\sig^2)$, say. pp is large enough so that the…

2009-11-30abs ↗pdf ↗

Let PP be a polynomial of degree dd with a Cremer point pp and no repelling or parabolic periodic bi-accessible points. We show that there are two types of such Julia sets JPJ_P. The \emph{red dwarf} JPJ_P are nowhere connected im kleinen and such that the intersection of all impressions of external angles is a cont…

2008-09-05abs ↗pdf ↗

This short note gives an overview of how a few conjectures and theorems of the author and collaborators fit together. It was prepared for Oberwolfach's workshop Differentialgeometrie im Großen, 28 June - 4 July 2015, and contains no new results.

2016-03-22abs ↗pdf ↗

The use of CVA to cover credit risk is widely spread, but has its limitations. Namely, dealers face the problem of the illiquidity of instruments used for hedging it, hence forced to warehouse credit risk. As a result, dealers tend to offer a limited OTC derivatives market to highly risky counterparties. Consequently, …

2018-12-21abs ↗pdf ↗