Stable generalized complex structures on certain surfaces are constant.
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In this paper we study the topology of the space $\I_ω$ of complex structures compatible with a fixed symplectic form , 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…
New characterizations of ruled real hypersurfaces in complex projective space found.
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…
Subdivision rules create sequences of nested cell structures on CW-complexes, and they frequently arise from groups. In this paper, we develop several tools for classifying subdivision rules. We give a criterion for a subdivision rule to represent a Gromov hyperbolic space, and show that a subdivision rule for a hyperb…
Finite subdivision rules in high dimensions can be difficult to visualize and require complex topological structures to be constructed explicitly. In many applications, only the history graph is needed. We characterize the history graph of a subdivision rule, and define a combinatorial subdivision rule based on such gr…
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…
Let be a ruled surface over a curve of genus . We prove that has a scalar-flat Hermitian metric if and only if and where is an intrinsic number depends on the complex structure of .
Screening rules help identify active sets in optimization problems.
Flexible Cox model for time-dependent covariates with complex sparsity patterns.
Generative models learn rules at different timescales, revealing a 'innovation window'.
Unique inhomogeneous ruled hypersurface found in complex hyperbolic space.
Study ruled real hypersurfaces in nonflat complex space forms with constant norm shape operators.
Diffusion models learn hierarchical composition rules from data.
The paper confirms a conjecture about submanifolds in Euclidean space.
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…
CRL approach improves understanding of heterogeneous treatment effects in complex diseases.
Coregulation of the expression of groups of genes has been extensively demonstrated empirically in bacterial and eukaryotic systems. Such coregulation can arise through the use of shared regulatory motifs, which allow the coordinated expression of modules (and module groups) of functionally related genes across the gen…
Introduces a rule-based Bayesian regression for better uncertainty quantification and expert knowledge integration.
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…
Neural production systems learn visual dynamics by applying rule templates to entities.
This paper studies ruled real hypersurfaces in indefinite complex projective space.
In a physical neural system, where storage and processing are intimately intertwined, the rules for adjusting the synaptic weights can only depend on variables that are available locally, such as the activity of the pre- and post-synaptic neurons, resulting in local learning rules. A systematic framework for studying t…
Novel approach for creating interpretable classifiers using bilevel optimization of split-rules in NLDTs.
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…
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 …
Study of symplectomorphisms on ruled surfaces under circle actions.
New algorithm solves complex stopping problems with robust optimization.
Study on gradient pseudo-Ricci solitons on real hypersurfaces.
This work proposes optimal decision rules for hierarchical classifiers to better align with evaluation metrics.
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,…
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…
The paper constructs special hypersurfaces in complex space forms.
Study shows LLMs can extrapolate rules from out-of-distribution prompts.
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…
Paper recovers uncertainty from dynamic valuation rules.
Study explores reinforcement learning in a complex game environment, analyzing rule inference and policy learning.
Developable ruled surfaces generated by curvature axes of curves.
We show that ruled real hypersurfaces with constant mean curvature in the complex projective and hyperbolic spaces must be minimal. This provides their classification, by virtue of a result of Lohnherr and Reckziegel.
We show that derivations of the differential structure of a subcartesian space satisfy the chain rule and have maximal integral curves.
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…
Modular neural networks generalize better with less data.
We study Lagrangian points on smooth holomorphic curves in T equipped with a natural neutral Kähler structure, and prove that they must form real curves. By virtue of the identification of T with the space of oriented affine lines in Euclidean 3-space ${\mathbb…
We point out how some recent developments in the theory of constant scalar curvature Kähler metrics can be used to clarify the existence issue for such metrics in the special case of geometrically ruled complex surfaces.
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 …
In this short article we give a criterion whether a given minimal symplectic 4-manifold with 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 , constructed by R. Fintushel and R. Stern are…
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…
A new matrix factorization method for high-dimensional data.