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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.

168,695 papers · 148 categories

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48 results for equivariant solutions

The paper finds asymmetric Type-I blowup solutions for Yang-Mills flow.

problem Existence of asymmetric Type-I blowup solutions for Yang-Mills flow.
method Constructing an infinite-dimensional family of solutions for the Yang-Mills flow on RnimesSO(n)\mathbb{R}^n imes SO(n) for 5n95 \leq n \leq 9.
result Existence of asymmetric Type-I blowup solutions for the Yang-Mills flow.

Let G be a compact, connected Lie group, acting smoothly on a manifold M. Goresky-Kottwitz-MacPherson described a small Cartan model for the equivariant cohomology of M, quasi-isomorphic to the standard Cartan complex of equivariant differential forms. In this paper, we construct an explicit cochain map from the small …

2004-06-17abs ↗pdf ↗

For a closed Riemannian manifold of dimension n3n\geq 3 and a subgroup GG of the isometry group, we define and study the GG-equivariant second Yamabe constant and we obtain some results on the existence of GG-invariant nodal solutions of the Yamabe equation.

2016-12-09abs ↗pdf ↗

New method constructs equivariant neural networks for arbitrary matrix groups.

problem Challenges in constructing equivariant neural networks for complex groups.
method Completely general algorithm for solving equivariant layers of matrix groups.
result Constructs multilayer perceptrons equivariant to multiple groups including O(1,3), O(5), Sp(n), and Rubik's cube group.

Study shows global oscillatory solutions for Yang-Mills heat flow in 4D space.

problem Investigating long-time dynamics of Yang-Mills heat flow with specific initial data.
method Analysis of SO(4)SO(4)-equivariant Yang-Mills heat flow with SU(2)SU(2) group in 4D space.
result Global solutions can exhibit oscillatory behavior at time infinity.

Our work improves VAE latent space clustering by enforcing invariant and equivariant learning.

problem Current VAEs fail to learn invariant and equivariant clusters in latent space.
method We use a mixture model pdf like Gaussian mixtures to enforce deep, group-invariant learning and separate semantic and equivariant variables.
result Our model effectively learns to disentangle invariant and equivariant representations, improving learning rate and image recognition.

Stability of singularity formation in Yang-Mills fields in higher dimensions.

problem Stability of self-similar blowup profiles for Yang-Mills equations in (1+d)(1+d)-dimensions.
method Analysis of explicitly known equivariant self-similar blowup solution and small equivariant perturbations.
result Global-in-space asymptotic stability of the self-similar blowup solution for Yang-Mills equations in (1+d)(1+d)-dimensions for d5d \geq 5.

We present a novel approach to the classification of conformally equivariant differential operators on spinors in the case of homogeneous conformal geometry. It is based on the classification of solutions for a vector-valued system of partial differential equations, associated to D\mathcal{D}-modules for the homogeneo…

2016-02-03abs ↗pdf ↗

Efficient equivariant MobileNetV2 for medical applications on mobile devices.

problem Limited computational resources for deep learning models in medical applications.
method Design and optimize an equivariant version of MobileNetV2 with model quantization.
result Achieved close-to state-of-the-art performance on medical dataset with improved efficiency.

The paper introduces MDP homomorphic networks for faster reinforcement learning.

problem Current reinforcement learning approaches do not exploit symmetries in the joint state-action space.
method Equivariant neural networks with group-structured symmetries (reflections, rotations).
result MDP homomorphic networks converge faster than unstructured baselines on various tasks.

Theoretical guarantees for permutation-equivariant QNNs avoid barren plateaus.

problem Excessive local minima and barren plateaus in QNNs training landscapes.
method Designing SnS_n-equivariant QNNs to encode permutation symmetry.
result Equivariant QNNs do not suffer from barren plateaus, quickly reach overparametrization, and generalize well.

New neural network architecture for auction design exploiting permutation symmetry.

problem Designing incentive-compatible auctions that maximize expected revenue.
method Constructed a permutation-equivariant neural network architecture.
result Permutation-equivariant architectures can perfectly recover optimal mechanisms.

Study higher rank deformed Hermitian-Yang-Mills equations for stable vector bundles.

problem Stability conditions for higher rank vector bundles over complex manifolds.
method Establish equivalence between dHYM equations and ZZ-stability.
result Equivalence between dHYM solutions and ZZ-stability for vortex type bundles.

The main aim of this paper is to study existence and stability properties of rotationally symmetric proper biharmonic maps between two mm-dimensional models (in the sense of Greene and Wu). We obtain a complete classification of rotationally symmetric, proper biharmonic conformal diffeomorphisms in the special case th…

2015-01-19abs ↗pdf ↗

We study local rigidity and multiplicity of constant scalar curvature metrics in arbitrary products of compact manifolds. Using (equivariant) bifurcation theory we determine the existence of infinitely many metrics that are accumulation points of pairwise non homothetic solutions of the Yamabe problem. Using local rigi…

2010-12-07abs ↗pdf ↗

Develops a new approach to study nonlinear PDEs and their singularities.

problem Understanding the propagation domains of solutions to nonlinear PDEs.
method Derived geometric machinery and sheaf theory to study nonlinear PDEs and their singular supports.
result Estimates the domains of propagation for solutions of non-linear systems.

Study of 2d gauged linear sigma models to derive difference equations and spectral data.

problem Understanding monopole solutions and their spectral data in 2d gauged models.
method Analyzing ground states and cohomology of supercharges to derive difference modules and equations.
result Derived novel difference equations for brane amplitudes and hemisphere partition functions.

We give a proof of Kontsevich's formality theorem for a general manifold using Fedosov resolutions of algebras of polydifferential operators and polyvector fields. The main advantage of our construction of the formality quasi-isomorphism is that it is based on the use of covariant tensors unlike Kontsevich's original p…

2003-07-16abs ↗pdf ↗

We consider G-equivariant dimensional reduction of Yang-Mills theory with torsion on manifolds of the form MxG/H where M is a smooth manifold, and G/H is a compact six-dimensional homogeneous space provided with a never integrable almost complex structure and a family of SU(3)-structures which includes a nearly Kahler …

2010-09-16abs ↗pdf ↗

Paper introduces Laplace-HDC for better binary hyperdimensional computing.

problem Improving binary hyperdimensional computing for spatial information.
method Develops Laplace-HDC using the Laplace kernel and Haar convolutional features.
result Laplace-HDC outperforms previous methods in encoding spatial information.

New methods improve translation-equivariant neural processes for modeling unknown functions.

problem Modeling unknown latent functions from irregularly sampled measurements.
method Volterra series and set Fourier convolutions to address translation-equivariance and efficiency.
result Improved translation-equivariant neural processes with analytical transparency and linear scalability.

The paper develops stochastic methods on geometric spaces for transformations.

problem Existence and uniqueness of stochastic processes on geometric spaces.
method Stochastic parallel transport and equivariant diffusions on the group of diffeomorphisms.
result Existence and uniqueness of stochastic parallel transport and equivariant diffusions.

Study of invariants on manifolds with boundary involving equivariant spectral flow and η-invariants.

problem Equivariant invariants on manifolds with boundary.
method Analysis of Dirac operators, winding numbers, spectral flow, Maslov indices, and η-invariants.
result Established relation between equivariant η-invariants and Maslov triple indices.

Defines a new homomorphism for strongly invertible knots, proving equivariant algebraic concordance.

problem Equivariant algebraic concordance of strongly invertible knots.
method Defining a homomorphism ΦΦ from equivariant concordance group to a new equivariant algebraic concordance group, proving it lifts known homomorphisms and provides new obstructions.
result Obtains a new obstruction to equivariant sliceness and novel lower bounds on equivariant slice genus.

We define the equivariant holonomy of an invariant connection on a principal U(1)-bundle. The properties of the ordinary holonomy are generalized to the equivariant setting. In particular, equivariant U(1)-bundles with connection are shown to be classified by its equivariant holonomy modulo isomorphisms. We also show t…

2019-05-07abs ↗pdf ↗