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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.

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15314661 · May 202619922001200920172026
48 results for refinement

New inequality for refined knot invariants in a specific space.

problem General adjunction inequality for refined ss-invariants does not hold.
method Introduced an adjunction inequality for a specific spatial refinement in kCP2k\overline{\mathbb{CP}^2}.
result An adjunction inequality holds for the ss-version of the Sq1Sq^1-refinement in kCP2k\overline{\mathbb{CP}^2}.

We study refined topological string theory in the presence of orientifolds by counting second-quantized BPS states in M-theory. This leads us to propose a new integrality condition for both refined and unrefined topological strings when orientifolds are present. We define the SO(2N) refined Chern-Simons theory which co…

2012-02-20abs ↗pdf ↗

Refines neural network predictions using background knowledge for improved accuracy.

problem Compensate for lack of labeled data in neural networks.
method Introduces differentiable refinement functions and Iterative Local Refinement (ILR) algorithm to refine predictions efficiently and accurately.
result ILR finds competitive results in MNIST addition task and refines predictions on complex SAT formulas.

New research shows label refinement and weak training have limitations for aligning LLMs.

problem Limitations of refinement methods for aligning large language models.
method Analyzed probabilistic assumptions and alternative approaches to label refinement and weak training.
result Label refinement and weak training suffer from irreducible error, leaving a performance gap.

We refine Khovanov homology in the presence of an involution on the link. This refinement takes the form of a triply-graded theory, arising from a pair of filtrations. We focus primarily on strongly invertible knots and show, for instance, that this refinement is able to detect mutation.

2019-07-31abs ↗pdf ↗

In a previous paper we constructed a spectrum-level refinement of Khovanov homology. This refinement induces stable cohomology operations on Khovanov homology. In this paper we show that these cohomology operations commute with cobordism maps on Khovanov homology. As a consequence we obtain a refinement of Rasmussen's …

2012-06-15abs ↗pdf ↗

Refines deep generative models to improve data density precision.

problem Achieving precise representation of data probability density in deep models.
method Iterated generative modeling to refine latent space, addressing topological obstructions.
result Latent Space Refinement (LaSeR) protocol improves generative model precision.

Braverman and Kappeler introduced a refinement of the Ray-Singer analytic torsion associated to a flat vector bundle over a closed odd-dimensional manifold. We study this notion and improve the Braverman-Kappeler theorem comparing the refined analytic torsion with Farber-Turaev refinement of the combinatorial torsion. …

2006-02-10abs ↗pdf ↗

We note that our stable homotopy refinements of Khovanov's arc algebras and tangle invariants induce refinements of Chen-Khovanov and Stroppel's platform algebras and tangle invariants, and discuss the topological Hochschild homology of these refinements.

2019-09-28abs ↗pdf ↗

EGR refines and assesses protein complex structures.

problem Improving the accuracy of protein complex 3D structures for drug discovery.
method E(3)-equivariant graph neural network (GNN) for multi-task refinement and assessment.
result EGR achieves state-of-the-art performance in refining and assessing protein complexes.

A novel framework refines diffusion models iteratively for better downstream reward optimization.

problem Optimizing reward functions during inference of diffusion models.
method Iterative refinement process with noising and reward-guided denoising steps.
result Superior empirical performance in protein and DNA design.

We formulate large NN duality of U(N)\mathrm{U}(N) refined Chern-Simons theory with a torus knot/link in S3S^3. By studying refined BPS states in M-theory, we provide the explicit form of low-energy effective actions of Type IIA string theory with D4-branes on the ΩΩ-background. This form enables us to relate refined C…

2017-03-15abs ↗pdf ↗

Study uses AI to refine loan assessments, improving credit default predictions.

problem Improving credit default prediction accuracy using AI-refined text.
method Comparative analysis of human-written and AI-refined loan assessments using deep learning techniques.
result AI-refined texts significantly enhance credit default predictions, especially when combined with structured data.

Let EE be a flat complex vector bundle over a closed oriented odd dimensional manifold MM endowed with a flat connection \nabla. The refined analytic torsion for (M,E)(M,E) was defined and studied by Braverman and Kappeler. Recently Mathai and Wu defined and studied the analytic torsion for the twisted de Rham complex…

2010-01-05abs ↗pdf ↗

The refined analytic torsion, defined by M. Braverman and T. Kappeler on closed manifolds, can be viewed as a refinement of the Ray-Singer torsion, since it is a canonical choice of an element with Ray-Singer norm one, in case of unitary representations. The complex phase of the refinement is given by the rho-invariant…

2008-08-04abs ↗pdf ↗

Refined BN-S model improves crude oil hedging with machine learning.

problem Finding optimal hedging strategy for commodity markets.
method Implemented a refined Barndorff-Nielsen and Shephard model with machine learning algorithms.
result The refined model performs better than the classical BN-S model.

We construct a canonical element, called the refined analytic torsion, of the determinant line of the cohomology of a closed oriented odd-dimensional manifold M with coefficients in a flat complex vector bundle E. We compute the Ray-Singer norm of the refined analytic torsion. In particular, if there exists a flat Herm…

2005-10-25abs ↗pdf ↗

Refined invariants for 4D 2-handlebodies, linking quantum groups and cohomology.

problem Constructing and studying new invariants for 4D 2-handlebodies.
method Defining invariants for pairs (W,ω)(W,ω), using unimodular ribbon Hopf coalgebras.
result Decomposition formulas for original invariants in terms of refined ones.

Quantifies scalar curvature under C0C^0 convergence, proving a refined version in all dimensions.

problem Proving a refined quantitative bound for scalar curvature under C0C^0 convergence.
method Established the refined quantitative bound in all dimensions using smoothing techniques.
result Established the refined quantitative bound for scalar curvature in all dimensions.

Inspired by the work of Boris Vertman on refined analytic torsion for manifolds with boundary, in this paper we extend the construction of the Cappell-Miller analytic torsion to manifolds with boundary. We also compare it with the refined analytic torsion on manifolds with boundary. As a byproduct of the gluing formula…

2009-12-22abs ↗pdf ↗

Improved graph embedding through refined linear transformation and community recovery.

problem Identifying meaningful latent communities in graph data.
method Refined graph encoder embedding via linear transformation, self-training, and latent community recovery.
result Improved vertex embedding and better decision boundaries for vertex classification.

We formulate a refinement of SU(N) Chern-Simons theory on a three-manifold via the refined topological string and the (2,0) theory on N M5 branes. The refined Chern-Simons theory is defined on any three-manifold with a semi-free circle action. We give an explicit solution of the theory, in terms of a one-parameter refi…

2011-05-25abs ↗pdf ↗

A bicategory approach to differential cohomology is presented. Based on the axioms of Bunke-Schick, a symmetric monoidal groupoid is associated to differential refinements of cohomology theories. It is proven that such differential refinements are unique up to equivalence of the corresponding symmetric monoidal groupoi…

2012-11-29abs ↗pdf ↗

This is a short version of math.DG/0505537. For an acyclic representation of the fundamental group of a compact oriented odd-dimensional manifold, which is close enough to a unitary representation, we define a refinement of the Ray-Singer torsion associated to this representation. This new invariant can be viewed as an…

2005-09-24abs ↗pdf ↗

Refined theorem on linear perturbations with applications in singularity theory and optimization.

problem Linear perturbations and their implications in singularity theory and optimization.
method New perspective of Hausdorff measures for refined transversality theorem.
result Applications in singularity theory and optimization.

Graph neural networks refine speaker embeddings for better session-level diarization.

problem Local speaker distinction in meeting sessions using deep embeddings.
method Graph Neural Networks (GNNs) refine speaker embeddings using session-level structural information.
result Spectral clustering on refined embeddings outperforms original embeddings significantly.

For an acyclic representation of the fundamental group of a compact oriented odd-dimensional manifold, which is close enough to a unitary representation, we define a refinement of the Ray-Singer torsion associated to this representation. This new invariant can be viewed as an analytic counterpart of the refined combina…

2005-05-25abs ↗pdf ↗

We establish refinements of the classical Kato inequality for sections of a vector bundle which lie in the kernel of a natural injectively elliptic first-order linear differential operator. Our main result is a general expression which gives the value of the constants appearing in the refined inequalities. These consta…

1999-09-21abs ↗pdf ↗

Improved anti-cancer drug sensitivity prediction using REFINED CNN ensemble learning.

problem Challenges in predicting anti-cancer drug sensitivity for individual cell lines.
method Using REFINED CNN, which represents high-dimensional vectors as compact 2D images with spatial correlations, and building ensembles of these models.
result Ensemble approaches significantly improve drug sensitivity prediction performance compared to single models.

In the previous article "Refined Analytic Torsion on Manifolds with Boundary" we have presented a construction of refined analytic torsion in the spirit of Braverman and Kappeler, which does apply to compact manifolds with and without boundary. We now derive a gluing formula for our construction, which can be viewed as…

2008-08-04abs ↗pdf ↗

We work in the reduced SU(N,K) modular category as constructed recently by Blanchet. We define spin type and cohomological refinements of the Turaev-Viro invariants of closed oriented 3-manifolds and give a formula relating them to Blanchet's invariants. Roberts' definition of the Turaev-Viro state sum is exploited. Fu…

1998-06-17abs ↗pdf ↗

Let a AA be the 1-skeleton of a triangulated topological annulus. We establish bounds on the combinatorial modulus of a refinement AA', formed by attaching new vertices and edges to AA, that depend only on the refinement and not on the structure of AA itself. This immediately applies to showing that a disk triangul…

2006-08-25abs ↗pdf ↗

We conjecture a formula for the refined SU(3)\mathrm{SU}(3) Vafa-Witten invariants of any smooth surface SS satisfying H1(S,Z)=0H_1(S,\mathbb{Z}) = 0 and pg(S)>0p_g(S)>0. The unrefined formula corrects a proposal by Labastida-Lozano and involves unexpected algebraic expressions in modular functions. We prove that our formula satisfi…

2018-08-09abs ↗pdf ↗

Self-guiding diffusion models improve time series forecasting, refinement, and generation.

problem Improving time series forecasting, refinement, and generation.
method Unconditionally-trained diffusion model with self-guidance mechanism.
result TSDiff outperforms task-specific conditional forecasting methods and maintains generative performance.

In this paper, we discuss two topics: first, we show how to convert 1+1-topological quantum field theories valued in symmetric bimonoidal categories into stable homotopical data, using a machinery by Elmendorf and Mandell. Then, we discuss, in this framework, two recent results (independent of each other) on refinement…

2012-03-21abs ↗pdf ↗

Reshetikhin-Turaev (a.k.a. Chern-Simons) TQFT is a functor that associates vector spaces to two-dimensional genus g surfaces and linear operators to automorphisms of surfaces. The purpose of this paper is to demonstrate that there exists a Macdonald q,t-deformation -- refinement -- of these operators that preserves the…

2015-04-10abs ↗pdf ↗

New stable homotopy refinement of quantum annular Khovanov homology.

problem Quantum topological Hochschild homology and annular Khovanov spectra.
method Introducing quantum topological Hochschild homology (qTHH) and constructing a new stable homotopy refinement of quantum annular Khovanov homology.
result The new stable homotopy refinement agrees with qTHH of spectral Chen-Khovanov tangle bimodules and recovers earlier work.