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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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87173260346 · May 202619922001200920182026
48 results for production yield

The paper uses machine learning to optimize rework policies in semiconductor manufacturing.

problem Optimizing rework steps to increase yield without increasing costs.
method Applied double/debiased machine learning (DML) to estimate treatment effects.
result Derived optimal rework policies and estimated their value empirically.

The paper uses causal machine learning to optimize rework decisions in manufacturing.

problem Optimizing rework policies in manufacturing systems to balance yield improvement and rework costs.
method Proposes a causal model using double/debiased machine learning (DML) techniques to estimate conditional treatment effects and derive rework policies.
result Achieved a yield improvement of 2-3% during the color-conversion process of white LEDs.

In this short article, we find an explicit formula for Maslov index of Whitney n-gons joining intersections points of n half-dimensional tori in the symmetric product of a surface. The method also yields a formula for the intersection number of such an n-gon with the fat diagonal in the symmetric product.

2006-09-25abs ↗pdf ↗

A graph product kernel means the kernel of the natural surjection from a graph product to the corresponding direct product. We prove that a graph product kernel of countable groups is special, and a graph product of finite or cyclic groups is virtually cocompact special in the sense of Haglund and Wise. The proof of th…

2012-05-14abs ↗pdf ↗

Optimization method yields geometric inequalities for submanifolds in statistical warped product manifolds.

problem Optimizing geometric inequalities for submanifolds in statistical warped product manifolds.
method Optimization techniques applied to statistical submanifolds in statistical warped product manifolds.
result Optimal Casorati inequalities and Chen-Ricci inequality derived for statistical submanifolds.

This paper uses crypto derivatives data to estimate yield curves for cryptocurrencies.

problem Estimating yield curves for cryptocurrencies without bond markets.
method Using mathematical tools and data from cryptocurrency derivatives markets.
result Yield curves can be constructed for cryptocurrencies using derivative data.

ProductNet curates high-quality product datasets for better product understanding.

problem Lack of high-quality product datasets for product representation learning.
method Curated high-quality product datasets with a multi-modal deep neural network and active learning.
result Master model yields high categorization accuracy (94.7% top-1 accuracy for 1240 classes).

Weather derivatives help farmers hedge against crop yield risks.

problem High basis risks in weather derivatives pricing models.
method Machine learning ensemble technique to determine yield-weather relationships; mean-reverting model with local temperature dependence.
result Average temperature is the most significant weather variable affecting maize yield.

Develops methods to improve demand counterfactuals from imperfect proxies.

problem Imperfect proxies in demand models lead to biased counterfactuals and invalid inference.
method Practical toolkit for market-level and individual data, requiring minimal computation.
result Improves substitution prediction and counterfactual performance.

This paper tackles missing data in Burundian bond market yield curves.

problem Missing data challenges accurate yield curve construction in Burundian sovereign bond market.
method Exploration of data limitations, proposing and testing various imputation methods (LR, Previous value, miss-Forest, Next value).
result Linear Regression method performs best across variables, approximating normal distribution for error values.

We study infinitesimal Einstein deformations on compact flat manifolds and on product manifolds. Moreover, we prove refinements of results by Koiso and Bourguignon which yield obstructions on the existence of infinitesimal Einstein deformations under certain curvature conditions.

2015-08-04abs ↗pdf ↗

Let us consider a compact oriented riemannian manifold M without boundary and of dimension n=4k. The signature of M is defined as the signature of a given quadratic form Q. Two different products could be used to define Q and they render equivalent definitions: the exterior product of 2k-forms and the cup product of co…

2005-08-10abs ↗pdf ↗

The crisis that affected financial markets in the last years leaded market practitioners to revise well known basic concepts like the ones of discount factors and forward rates. A single yield curve is not sufficient any longer to describe the market of interest rate products. On the other hand, using different yield c…

2010-06-24abs ↗pdf ↗

It is shown that a (curved) projective structure on a smooth manifold determines on the Poisson algebra of smooth, fiberwise-polynomial functions on the cotangent bundle a one-parameter family of graded star products. For a particular value of the parameter (corresponding to half-densities) the star product is symmetri…

2005-04-29abs ↗pdf ↗

Study improves paddy rice yield predictions in Peru using sparse regression and climatic variables.

problem Improving precision of paddy rice yield forecasts in Peru.
method Sparse regression, Elastic-Net regularization, climatic variables, dynamic transformations.
result Improved predictive performance of paddy rice yield forecasts.

The existence of kinematic formulas for area measures with respect to any connected, closed subgroup of the orthogonal group acting transitively on the unit sphere is established. In particular, the kinematic operator for area measures is shown to have the structure of a co-product. In the case of the unitary group the…

2013-08-28abs ↗pdf ↗

We find a one-to-one correspondence between full extrinsic symmetric spaces in (possibly degenerate) inner product spaces and certain algebraic objects called (weak) extrinsic symmetric triples. In particular, this yields a description of arbitrary extrinsic symmetric spaces in pseudo-Euclidean spaces by corresponding …

2008-09-26abs ↗pdf ↗

Supply chain resilience depends on balancing competition and self-interest.

problem Maintaining resilience in decentralized supply chains under uncertainty and competition.
method Modeling competitive suppliers and retailers with yield uncertainty and congestion, analyzing network formation.
result Decentralized supply chains can form resilient networks through competition and self-interest, contrary to intuition.

Efficient Maximum Inner Product Search (MIPS) is an important task that has a wide applicability in recommendation systems and classification with a large number of classes. Solutions based on locality-sensitive hashing (LSH) as well as tree-based solutions have been investigated in the recent literature, to perform ap…

2015-07-21abs ↗pdf ↗

Paper presents a new algorithm for predicting crop yield across fields.

problem Predicting within-field spatial variability of crop yield in complex environments.
method Spatial-temporal Multi-Task Learning algorithm integrating multiple data sources.
result Algorithm outperforms conventional methods in predicting crop yield.

Several formulas for computing coarse indices of twisted Dirac type operators are introduced. One type of such formulas is by composition product in EE-theory. The other type is by module multiplications in KK-theory, which also yields an index theoretic interpretation of the duality between Roe algebra and stable Hi…

2016-06-03abs ↗pdf ↗

We consider three different approaches to define natural Riemannian metrics on polytopes of stochastic matrices. First, we define a natural class of stochastic maps between these polytopes and give a metric characterization of Chentsov type in terms of invariance with respect to these maps. Second, we consider the Fish…

2014-04-01abs ↗pdf ↗

Bayesian approach improves Nelson-Siegel yield curve modeling.

problem Yield curve modeling in finance.
method Hierarchical Bayesian model with MAP estimates via BFGS algorithm and HMC.
result Strong negative correlation between bond price and long-term yield effect, weak positive correlation between short-term rate effect and bond value.

Geometric theory explains substitutability in market outcomes based on production constraints.

problem Understanding substitutability in markets with structured feasible products.
method Modeling the set of feasible products as a compact Riemannian manifold to study intrinsic geometry and its effects on substitutability.
result Intrinsic geometry of the feasible set governs substitutability and market outcomes, with curvature controlling technological substitution elasticity.

Let G be a simple algebraic group. Labelled trivalent graphs called webs can be used to product invariants in tensor products of minuscule representations. For each web, we construct a configuration space of points in the affine Grassmannian. Via the geometric Satake correspondence, we relate these configuration spaces…

2011-03-17abs ↗pdf ↗

For a real symmetric domain GR/KRG_{\mathbb R}/K_{\mathbb R}, with complexification GC/KCG_{\mathbb C}/K_{\mathbb C}, we introduce the concept of "star-restriction" (a real analogue of the "star-products" for quantization of Kähler manifolds) and give a geometric construction of the GRG_{\mathbb R}-invariant differential ope…

2009-02-20abs ↗pdf ↗

Deep learning predicts plant growth and yield in greenhouses.

problem Predicting plant growth and yield for better greenhouse management.
method Utilized a new deep recurrent neural network (RNN) with LSTM neurons to model growth parameters.
result Deep learning models outperformed traditional ML methods in predicting plant growth and yield.

New capacity measure for deep ReLU networks derived from weight norms.

problem Identifying a suitable capacity measure for deep ReLU networks.
method Generalization of a recently proposed sampling argument to demonstrate the existence of sparse approximants of positive homogeneous networks.
result Bounding generalization error in multi-class classification using covering number bounds.

We consider Dirac operators on odd-dimensional compact spin manifolds which are twisted by a product bundle. We show that the space of connections on the twisting bundle which yield an invertible operator has infinitely many connected components if the untwisted Dirac operator is invertible and the dimension of the twi…

2015-06-13abs ↗pdf ↗

The paper tackles imbalance in production data by proposing sampling methods to improve model performance on underrepresented observations.

problem Imbalance in production data negatively impacts model predictive performance on underrepresented observations.
method Three sampling approaches are investigated to adjust for imbalance in training data and improve model performance.
result Fitting a model using sampled data yields a small reduction in overall predictive performance but a better performance on underrepresented observations.