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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.

168,695 papers · 148 categories

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123245368490 · May 202619922001200920172026
48 results for Secondary structure

Machine learning improves RNA secondary structure prediction.

problem Stagnant performance of RNA secondary structure prediction methods.
method Machine learning, especially deep learning, is used to predict RNA secondary structures.
result Machine learning methods have improved the prediction of RNA secondary structures.

In this study, we generalize double tangent bundles to double jet bundles. We present a secondary vector bundle structure on a 1-jet of a vector bundle. We show that 1-jet of a vector bundle carries two vector bundle structures, namely primary and secondary structures. We also show that the manifold charts induced by p…

2016-01-17abs ↗pdf ↗

E2Efold predicts RNA secondary structures better than previous methods.

problem RNA secondary structure prediction with constraints.
method End-to-end deep learning model using unrolled algorithms to enforce constraints.
result E2Efold predicts significantly better structures, especially for pseudoknotted structures.

PS8-Net improves eight-state protein secondary structure prediction accuracy.

problem Precise prediction of eight-state protein secondary structure (PSS) is crucial in bioinformatics.
method PS8-Net is a new deep convolutional neural network (DCNN) that uses a PS8 module with skip connections to enhance accuracy.
result PS8-Net achieves 76.89% Q8 accuracy on benchmark datasets.

Symmetric CNNs improve sequential recommendation and protein structure prediction.

problem Improving prediction accuracy in sequential recommendation and protein structure inference.
method Developed a CNN architecture that preserves symmetry in convolutional layers, using parameterized convolutional kernels.
result Symmetric structured CNNs achieve better performance with fewer parameters.

Secondary Calculus formalizes PDEs using cohomology, simplifying their study.

problem Formalizing and simplifying the study of partial differential equations (PDEs).
method Using cohomology of diffieties to formalize PDEs and their properties.
result Differential calculus on PDE solution spaces is homotopy calculus on horizontal De Rham algebras of diffieties.

Mathematician summarizes protein geometry and mutation effects.

problem Understanding how proteins mutate and their structure-function relationship.
method Mathematical analysis of protein structures and functions, focusing on hydrogen bonds and secondary structure.
result Protein secondary structure regulates mutation by stabilizing or destabilizing regions.

We give a survey of the approaches to classifying foliations, starting with the Haefliger classifying spaces and the various results and examples about the secondary classes of foliations. Various dynamical properties of foliations are introduced and discussed, including expansion rate, local entropy, and orbit growth …

2008-04-08abs ↗pdf ↗

Deep learning helps remove secondary BB-mode polarization to detect primordial gravitational waves.

problem Removing secondary BB-mode polarization from CMB data to detect primordial gravitational waves.
method Applied deep learning (ResUNet-CMB) to estimate and remove multiple sources of secondary BB-mode polarization.
result Deep learning can produce nearly optimal, unbiased estimates of the amplitude of primordial gravitational waves.

We study the secondary structure of RNA determined by Watson-Crick pairing without pseudo-knots using Milnor invariants of links. We focus on the first non-trivial invariant, which we call the Heisenberg invariant. The Heisenberg invariant, which is an integer, can be interpreted in terms of the Heisenberg group as wel…

2008-09-18abs ↗pdf ↗

In this paper we define K-theoretic secondary invariants attached to a Lie groupoid GG. The K-theory of Cr(Gad0)C^*_r(G_{ad}^0) (where Gad0G_{ad}^0 is the adiabatic deformation GG restricted to the interval [0,1)[0,1)) is the receptacle for K-theoretic secondary invariants. We give a Lie groupoid version of construction given b…

2016-09-26abs ↗pdf ↗

Let G be a simple Lie group of real rank one, and S the ideal boundary of the corresponding symmetric space of noncompact type (H^n_R, H^n_C, H^n_H or H^2_O). We show the finiteness of the possible values of the secondary characteristic classes of transversely homogeneous foliations on a fixed manifold whose transverse…

2012-05-15abs ↗pdf ↗

Constructs combinatorial 2D topological field theories from cyclic A-infinity algebras.

problem Developing a combinatorial framework for 2D topological field theories.
method Using triangulations and polygonal decompositions, constructing cochains on a CW complex.
result Existence of combinatorial 2D topological field theories based on cyclic A-infinity algebras.

Study of spectral flow in symmetric Toeplitz operator families.

problem Understanding spectral flow in families of symmetric Toeplitz operators.
method Analog of Atiyah-Singer-Robbin-Salamon theorem for Z2\mathbb{Z}_2-valued spectral flow.
result Graded secondary spectral flow equals secondary index of a Callias-type operator.

The knot invariant Upsilon, defined by Ozsvath, Stipsicz, and Szabo, induces a homomorphism from the smooth knot concordance group to the group of piecewise linear functions on the interval [0,2]. Here we define a set of related secondary invariants, each of which assigns to a knot a piecewise linear function on [0,2].…

2016-10-17abs ↗pdf ↗

The paper tackles online learning with two types of losses and shows it's impossible without certain assumptions.

problem Online learning with primary and secondary losses where the secondary loss is bounded by a linear threshold.
method Analyzes the feasibility of achieving low regret with respect to the primary loss while keeping the secondary loss within a linear threshold.
result Achieving the goal is impossible without bounded variance assumption on the secondary loss.

Fuses ITRs for primary and secondary outcomes to minimize harm.

problem Learn an ITR maximizing primary outcome while minimizing harm to secondary outcomes.
method Introduces fusion penalty to encourage similar recommendations for different outcomes. Two algorithms estimate the ITR using surrogate loss functions.
result Agreement rate between primary and secondary optimal ITRs converges faster than ignoring secondary outcomes.

We introduce two invariants called the secondary cuspidal curvature and the bias on 5/25/2-cuspidal edges, and investigate their basic properties. While the secondary cuspidal curvature is an analog of the cuspidal curvature of (ordinary) cuspidal edges, there are no invariants corresponding to the bias. We prove that t…

2017-10-16abs ↗pdf ↗

A new method for optimizing hierarchical multi-objective problems.

problem Symmetry and neglect of objective hierarchy in existing multi-objective methods.
method Priority-Constrained Descent (PCD) framework exploiting hierarchical objective structures.
result Pareto dominance and better per-objective performance with secondary progress guarantees.

We study algebraic structures (LL_\infty and AA_\infty-algebras) introduced by Gaiotto, Moore and Witten in their recent work devoted to certain supersymmetric 2-dimensional massive field theories. We show that such structures can be systematically produced in any number of dimensions by using the geometry of seconda…

2014-08-12abs ↗pdf ↗

Paper constructs a cohomology class related to McDuff's secondary class, proving it transgresses to the Euler class of foliated sphere bundles.

problem Finding higher-dimensional analogs of the Calabi invariant and its transgression to the Euler class.
method Constructing a cohomology class of volume-preserving diffeomorphisms and proving transgression to the Euler class of foliated sphere bundles.
result The cohomology class transgresses to the Euler class of foliated sphere bundles.

The study improves credit evaluation in peer-to-peer lending using machine learning.

problem Traditional credit histories are insufficient for distinguishing good from bad borrowers.
method Used machine learning classification and clustering algorithms to predict creditworthiness.
result Achieved 65% F1 and 73% AUC on LendingClub data, identifying key secondary attributes.

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 ↗

The covariant phase space of a Lagrangian field theory is the solution space of the associated Euler-Lagrange equations. It is, in principle, a nice environment for covariant quantization of a Lagrangian field theory. Indeed, it is manifestly covariant and possesses a canonical (functional) "presymplectic structure" w …

2008-09-24abs ↗pdf ↗

New stability theorem for nonorientable surfaces mapping class groups.

problem Stability of homology groups of mapping class groups of nonorientable surfaces.
method Galatius--Kupers--Randal-Williams framework of cellular E2E_2-algebras.
result New best known stability range for homology of nonorientable surfaces.

The paper studies connections in superintegrable systems, revealing geometric insights.

problem Understanding non- and semi-degenerate superintegrable systems.
method Analyzes two torsion-free connections associated with superintegrable systems.
result Semi-degenerate secondary structure tensor is the Ricci curvature of a natural torsion-free connection.

RNA structures show that a significant portion of bases do not form hydrogen bonds.

problem Understanding the unpaired bases in RNA secondary structures.
method Comparing random words in free groups to RNA sequences, analyzing word lengths.
result The expected fraction of unpaired bases converges to a constant λ2λ_2.

Defines and proves CR invariants on five-manifolds.

problem Defines and studies CR invariants on CR five-manifolds.
method Defines global secondary CR invariants and proves their linear combination.
result Any global secondary CR invariant is a linear combination of total QQ'-curvature, total I\mathcal{I}'-curvature, and a local CR invariant.

In this paper we construct an infinite family of knots with vanishing Upsilon invariant ΥΥ, although their secondary Upsilon invariants Υ2Υ^2 show that they are linearly independent in the smooth knot concordance group. We also prove a conjecture in a paper by Allen.

2018-05-23abs ↗pdf ↗

In this paper, we introduce six axioms for relative Bott-Chern secondary characteristic classes and prove the uniqueness and existence theorem for them. Such a work provides us a natural way to understand and hence to prove the arithmetic Grothendieck-Riemann-Roch theorem.

1998-10-19abs ↗pdf ↗

We define and study the secondary Chern-Euler class for a general submanifold of a Riemannian manifold. Using this class, we define and study index for a vector field with non-isolated singularities on a submanifold. As an application, our studies give conceptual proofs of a classical result of Chern.

2009-06-22abs ↗pdf ↗

The note answers a question about Betti numbers for 1D Euclidean space.

problem Understanding Betti numbers for vector fields and differential forms in 1D Euclidean space.
method Using Euler vector field and Lie superalgebra structure.
result The Betti numbers are 1 for the case where primary and secondary weights are equal.

The class IV2{\sf IV}_2 of 22-nondegenerate constant Levi rank 11 hypersurfaces M5C3M^5 \subset \mathbb{C}^3 is governed by Pocchiola's two primary invariants W0W_0 and J0J_0. Their vanishing characterizes equivalence of such a hypersurface M5M^5 to the tube MLC5M_{\sf LC}^5 over the real light cone in R3\mathbb{R}^3. Whe…

2019-01-07abs ↗pdf ↗

Global invariant for path structures and differential equations defined on torus.

problem Global invariant for path structures and differential equations.
method Computed as a secondary invariant from a Cartan connection on a canonical bundle.
result Formula for global invariant of second order differential equations on torus.

Study controls bifurcations in Eulerian flows with multiple Hopf singularities.

problem Bifurcation analysis and control of nonlinear Eulerian flows with non-resonant n-tuple Hopf singularities.
method Analysis of CW complex bifurcations of flow-invariant Clifford hypertori, using leaf-bifurcation varieties.
result Tertiary toral CW complex bifurcates from and persists outside a secondary toral CW complex.

The Law of Vector Fields is a term coined by Gottlieb for a relative Poincaré-Hopf theorem. It was first proved by Morse and expresses the Euler characteristic of a manifold with boundary in terms of the indices of a generic vector field and the inner part of its tangential projection on the boundary. We give two diffe…

2009-09-25abs ↗pdf ↗

In this paper we study the variability and rigidity of secondary characteristic classes which arise from flat connections on a manifold. Considering the connection as a Lie-algebra valued one-form, we study the characteristic map from Lie algebra cohomology to de Rham cohomology of the manifold, and prove that if the L…

1999-04-22abs ↗pdf ↗