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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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48 results for Complex ruled structure

Stable generalized complex structures on certain surfaces are constant.

problem Existence of stable generalized complex structures on ruled surfaces.
method Analysis of sphere bundles over surfaces of genus ≥2.
result Stable generalized complex structures on these surfaces are of constant type.

In this paper we study the topology of the space $\I_ω$ of complex structures compatible with a fixed symplectic form ωω, using the framework of Donaldson. By comparing our analysis of the space $\I_ω$ with results of McDuff on the space $\cat J_ω$ of compatible almost complex structures on rational ruled surfaces, we…

2006-10-13abs ↗pdf ↗

New characterizations of ruled real hypersurfaces in complex projective space found.

problem Characterizing ruled real hypersurfaces in complex projective space.
method Defined tensor fields related to Levi-Civita and generalized Tanaka-Webster connections and studied the structure operator.
result Obtained new characterizations of ruled real hypersurfaces in complex projective space.

In this paper we apply Donaldson's general moment map framework for the action of a symplectomorphism group on the corresponding space of compatible (almost) complex structures to the case of rational ruled surfaces. This gives a new approach to understanding the topology of their symplectomorphism groups, based on a r…

2005-07-19abs ↗pdf ↗

Discrete structure rules for validating molecular structures are usually limited to fulfillment of the octet rule or similar simple deterministic heuristics. We propose a model, inspired by language modeling from natural language processing, with the ability to learn from a collection of undirected molecular graphs, en…

2019-11-26abs ↗pdf ↗

Flexible Cox model for time-dependent covariates with complex sparsity patterns.

problem Lack of flexibility in enforcing specific sparsity patterns in time-dependent Cox models.
method Proposes a flexible framework for variable selection in time-dependent Cox models, accommodating complex selection rules.
result Achieves accurate estimation with low false alarm rates for complex covariate structures.

Generative models learn rules at different timescales, revealing a 'innovation window'.

problem Generative models' convergence to empirical training distribution rather than population distribution.
method Rule-valid synthetic tasks, analyzing τruleτ_{\mathrm{rule}} and τmemτ_{\mathrm{mem}} across training timescales.
result The 'innovation window' widens with increasing dataset size and narrows with rule complexity.

Unique inhomogeneous ruled hypersurface found in complex hyperbolic space.

problem Classifying ruled real hypersurfaces with constant norm.
method Analyzing nonflat complex space forms, proving existence and uniqueness.
result Existence of a unique inhomogeneous example in complex hyperbolic space.

Study ruled real hypersurfaces in nonflat complex space forms with constant norm shape operators.

problem Proving nonexistence and characterizing ruled hypersurfaces in nonflat complex space forms.
method Analyzing shape operators with constant squared norm and using biharmonic properties.
result Biharmonic ruled real hypersurfaces are minimal, leading to their classification.

Diffusion models learn hierarchical composition rules from data.

problem How many samples do generative models need to learn hierarchical composition rules?
method Theoretical and empirical investigation of diffusion models on probabilistic context-free grammars.
result Diffusion models learn hierarchical composition rules with sample complexity scaling polynomially with context size.

The paper confirms a conjecture about submanifolds in Euclidean space.

problem Addressing a conjecture about non-holomorphic Kaehler submanifolds in Euclidean space.
method Analyzing the structure of the second fundamental form and ruling dimensions.
result The conjecture is confirmed for codimensions p ≤ 6, and for p = 7 to 11 under additional assumptions.

In this paper, we consider non developable ruled surface with spacelike ruling, timelike ruling, respectively. We give the relations between the structure functions with the curvature and torsion of the striction line of the timelike and spacelike non developable ruled surfaces. Also, we have calculated the gaussian an…

2014-03-05abs ↗pdf ↗

CRL approach improves understanding of heterogeneous treatment effects in complex diseases.

problem Estimating heterogeneous treatment effects in complex diseases.
method Causal rule learning (CRL) workflow consisting of rule discovery, selection, and analysis.
result CRL outperforms other methods in providing interpretable estimates of HTE.

Introduces a rule-based Bayesian regression for better uncertainty quantification and expert knowledge integration.

problem Handling regression problems with uncertainty quantification and expert intuition.
method Combines Bayesian inference and rule-based systems for better model performance.
result Improves model performance with better uncertainty quantification and point predictions.

A complex ruled surface admits an iterated blow-up encoded by a parabolic structure with rational weights. Under a condition of parabolic stability, one can construct a Kaehler metric of constant scalar curvature on the blow-up according to math.DG/0412405. We present a generalization of this construction to the case o…

2007-03-08abs ↗pdf ↗

Neural production systems learn visual dynamics by applying rule templates to entities.

problem Modeling interactions among entities in structured visual environments.
method Inspired by production systems, the paper uses rule templates to bind placeholder variables to specific entities, scoring and applying the best fitting rules to update entity properties.
result The architecture achieves robust future-state prediction and extrapolation from simple to complex environments, outperforming GNNs.

This paper studies ruled real hypersurfaces in indefinite complex projective space.

problem Characterizing and classifying ruled real hypersurfaces in indefinite complex projective space.
method Introduced and studied ruled real hypersurfaces with maximal holomorphic distribution integrable and leaves totally geodesic holomorphic hyperplanes. Detailed shape operator computation and method of construction by gluing totally geodesic hyperplanes along a curve.
result Classification of all minimal ruled real hypersurfaces in terms of three main families of curves.

Novel approach for creating interpretable classifiers using bilevel optimization of split-rules in NLDTs.

problem Creating highly accurate and easily interpretable classifiers for practical applications.
method Representing classifiers as assemblies of simple mathematical rules using NLDTs with evolutionary bilevel optimization.
result The approach ensures interpretability while achieving high accuracy on various classification problems.

This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate model interpretation while also capturing nonlinear dependences and interactions. Our problem formulation accordingly trades off rule set comple…

2019-06-05abs ↗pdf ↗

It is proved that if S^6 possesses an integrable complex structure, then there exists a 1-dimensional family of pairwise different exotic complex structures on P_3(C). This follows immediately from the main result of the paper: S^6 is not the underlying differentiable manifold of an almost homogeneous complex manifold …

1998-12-13abs ↗pdf ↗

Study of symplectomorphisms on ruled surfaces under circle actions.

problem Homotopy type of equivariant symplectomorphisms on rational ruled surfaces.
method Analysis of action on compatible and invariant almost complex structures, use of Delzant's and Karshon's classifications.
result Equivariant symplectomorphisms are homotopy equivalent to tori or their pushout.

New algorithm solves complex stopping problems with robust optimization.

problem Solving complex stochastic optimal stopping problems.
method Simulation-based robust optimization with exact reformulation as a zero-one bilinear program.
result Developed polynomial-time heuristics and algorithms for practical solution.

Study on gradient pseudo-Ricci solitons on real hypersurfaces.

problem Characterize gradient pseudo-Ricci solitons on real hypersurfaces.
method Analyze real hypersurfaces in complex space forms with specific eigen properties of the Ricci tensor.
result Show existence of non-trivial gradient pseudo-Ricci solitons on 3D ruled real hypersurfaces.

This work proposes optimal decision rules for hierarchical classifiers to better align with evaluation metrics.

problem Heuristic decision rules in hierarchical classification do not align with evaluation metrics.
method Derives optimal decision rules for various prediction settings, focusing on hierarchical hFβhF_β scores.
result Optimal decision rules enhance the performance and reliability of hierarchical classifiers.

In this paper we study a notion of topological complexity for the motion planning problem. The topological complexity is a number which measures discontinuity of the process of motion planning in the configuration space X. More precisely, it is the minimal number k such that there are k different motion planning rules,…

2001-11-18abs ↗pdf ↗

We describe how generalized complex geometry, which interpolates between complex and symplectic geometry, is compatible with T-duality, a relation between quantum field theories discovered by physicists. T-duality relates topologically distinct torus bundles, and prescribes a method for transporting geometrical structu…

2011-06-09abs ↗pdf ↗

The paper constructs special hypersurfaces in complex space forms.

problem Constructing special hypersurfaces in complex space forms.
method Taking an arbitrary smooth curve in a totally geodesic submanifold and erecting an orthogonal ruling over each point.
result In the n=2n=2 case, the construction yields real-analytic hypersurfaces of cohomogeneity one.

Study shows LLMs can extrapolate rules from out-of-distribution prompts.

problem Understanding LLMs' ability to generalize from unexpected inputs.
method Formal languages and rule-based scenarios to evaluate LLMs' OOD behavior.
result LLMs can extrapolate rules from out-of-distribution prompts, even in complex scenarios.

By a theorem of Kirchhoff if the six sphere admits an almost complex structure then the seven sphere is parallelizable, more crucial, he exhibited an explicit global frame constructed out of the given almost complex structure. This result implicitly equips the seven sphere with a definite H-space multiplication. We pro…

2018-04-16abs ↗pdf ↗

Study explores reinforcement learning in a complex game environment, analyzing rule inference and policy learning.

problem Learning optimal policies in environments with hidden rules.
method Investigated using the Game Of Hidden Rules (GOHR) environment, employing Feature-Centric and Object-Centric state representations with a Transformer-based A2C algorithm.
result Transformer-based A2C models outperform traditional methods in GOHR, demonstrating the effectiveness of representation strategies.

Developable ruled surfaces generated by curvature axes of curves.

problem Creating simple and understandable ruled surfaces for practical design.
method Investigating a straightforward method to generate developable ruled surfaces using curvature axes of curves.
result Developable ruled surfaces are generated by the curvature axes of curves, and these surfaces are developable.

We analyze a model of learning and belief formation in networks in which agents follow Bayes rule yet they do not recall their history of past observations and cannot reason about how other agents' beliefs are formed. They do so by making rational inferences about their observations which include a sequence of independ…

2015-09-30abs ↗pdf ↗

Modular neural networks generalize better with less data.

problem Theoretical and practical understanding of how modularity improves neural network generalization.
method Theoretical analysis of sample complexity, development of a novel learning rule.
result Modular networks require fewer samples to generalize compared to nonmodular networks, especially in high-dimensional tasks.

We study Lagrangian points on smooth holomorphic curves in TP1{\mathbb P}^1 equipped with a natural neutral Kähler structure, and prove that they must form real curves. By virtue of the identification of TP1{\mathbb P}^1 with the space L(E3){\mathbb L}({\mathbb E}^3) of oriented affine lines in Euclidean 3-space ${\mathbb…

2007-09-29abs ↗pdf ↗

In this paper we introduce the area of 2-ruled 4-folds in R^n (n=7 or 8), that is, submanifolds M of R^n that admit a fibration over some 2-fold Sigma such that each fibre is an affine 2-plane in R^n. This is motivated by the paper math.DG/0012060 by Joyce on ruled special Lagrangian 3-folds in C^3 and the work of the …

2004-01-13abs ↗pdf ↗

In this short article we give a criterion whether a given minimal symplectic 4-manifold with b2+=1b_{2}^{+}=1 having a torsion-free canonical class is rational or ruled. As a corollary, we confirm that most of homotopy elliptic surfaces $E(1}_{K}$, K is a fibered knot in S3S^3, constructed by R. Fintushel and R. Stern are…

2001-08-31abs ↗pdf ↗

Combining deep neural networks with structured logic rules is desirable to harness flexibility and reduce uninterpretability of the neural models. We propose a general framework capable of enhancing various types of neural networks (e.g., CNNs and RNNs) with declarative first-order logic rules. Specifically, we develop…

2016-03-21abs ↗pdf ↗

A new matrix factorization method for high-dimensional data.

problem Exploiting sparse structures in complex data for better interpretability.
method Bayesian shrinkage priors and flexible sparse patterns modeled through row and column dependencies.
result Demonstrated practical advantages through simulation and soccer heatmap analysis.