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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.

169,051 papers · 148 categories

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52105157209 · Jun 202019922001200920182026
48 results for unrolled quantum groups

New quantum invariants derived from unrolled quantum groups match existing Hennings invariants.

problem Constructing non-semisimple quantum invariants for 3-manifolds.
method Using unrolled quantum groups at odd roots of unity and small quantum groups.
result Renormalized Hennings invariants coincide with new quantum invariants.

Modified Hennings invariant defined using quantum groups and integrals.

problem Defining a modified Hennings invariant using quantum groups.
method Topological ribbon Hopf algebra, discrete Fourier transforms, symmetrized graded integral, modified trace.
result Modified graded Hennings invariant defined and extended to empty manifolds.

A Hermitian TQFT from non-semisimple quantum sl(2) modules.

problem Constructing a Hermitian TQFT from a non-semisimple category.
method Endowed a non-semisimple category of quantum sl(2) modules with a Hermitian structure and proved the resulting TQFT is Hermitian.
result Projective representations of the mapping class group in indefinite unitary matrices.

We develop the general theory for the construction of Extended Topological Quantum Field Theories (ETQFTs) associated with the Costantino-Geer-Patureau quantum invariants of closed 3-manifolds. In order to do so, we introduce relative modular categories, a class of ribbon categories which are modeled on representations…

2017-03-22abs ↗pdf ↗

Constructs 3D topological field theories from a specific quantum group, linking to physics invariants.

problem Developing topological field theories from non-semisimple quantum groups.
method Using the unrolled quantum group of osp(12)\mathfrak{osp}(1 \vert 2) and a relative modular structure on weight modules.
result Establishes a connection between constructed invariants and physicists' Z^\widehat{Z}-invariants.

New invariants for 3-manifolds derived from supergroup representations.

problem Developing invariants for 3-manifolds using supergroup analogues.
method Introducing supergroup analogues of 3-manifold invariants for superunitary groups, focusing on SU(2|1). Calculating q-series for specific 3-manifolds and studying their properties.
result Explicit calculation and study of q-series for certain 3-manifolds, providing a formula relating new invariants to quantum invariants.

We prove the ADO invariants are a q-holonomic family and establish recursion relations.

problem Understanding the qq-holonomic properties of ADO link invariants.
method Proving the ADO invariants are a qq-holonomic family and establishing recursion relations.
result The ADO invariants for r2r\geq 2 are a qq-holonomic family, satisfying independent recursion relations.

Invariants of 3-manifolds from a non semi-simple category of modules over a version of quantum sl(2)sl(2) were obtained by the last three authors in arXiv:1202.3553 . They are invariants of 33-manifolds together with a cohomology class which can be interpreted as a line bundle with flat connection. In arXiv:1404.7289 we …

2016-05-25abs ↗pdf ↗

We study relationships between the restricted unrolled quantum group UqH(sl2)\overline{U}_q^H(\mathfrak{sl}_2) at 2r2r-th root of unity q=eπi/r,r2q=e^{πi/r}, r \geq 2, and the singlet vertex operator algebra M(r)\mathcal M(r). We use deformable families of modules to efficiently compute (1,1)(1, 1)-tangle invariants colored with projecti…

2016-05-18abs ↗pdf ↗

The paper compares unrolling and bilevel optimization for learning variational models.

problem Learning variational models in supervised learning.
method Analyzes unrolling and bilevel optimization approaches for variational models.
result Unrolling can be better than bilevel optimization, but performance depends on parameters.

PES method reduces bias in gradient estimation for unrolled graphs.

problem High variance and bias in gradient estimation for unrolled computation graphs.
method Divide graph into unrolls, apply ES update, accumulate correction terms.
result PES provides unbiased, low-variance gradient estimates.

Statistical analysis of algorithm unrolling for inverse problems.

problem Designing deep neural networks to solve inverse problems efficiently.
method Analysis of gradient descent network (GDN) unrolling depth and statistical performance.
result The optimal statistical performance of GDNs requires unrolling depth of order log(n)/log(ρ_n^-1), where ρ_n is the convergence rate.

Constructs TQFTs for cobordisms with cohomology class decorations.

problem Creating TQFTs for cobordisms with cohomology class decorations.
method Starting from an abelian group GG and a factorizable ribbon Hopf GG-bialgebra HH, constructs a TQFT JHJ_H for connected framed cobordisms between connected surfaces with connected boundary decorated with cohomology classes with coefficients in GG.
result Our functor recovers a special case of Kerler-Lyubashenko TQFTs when restricted to trivial decorations.

This work analyzes the convergence rate of unrolling for optimizing quadratic objectives.

problem The challenge of accurately computing Jacobians through optimization.
method Non-asymptotic convergence-rate analysis of unrolled differentiation for gradient descent and Chebyshev method.
result There is a trade-off between fast asymptotic convergence and immediate but slower convergence due to the learning rate.

ES-Single uses ES to estimate gradients in unrolled graphs, reducing variance and improving performance.

problem Estimating gradients in unrolled computation graphs with low variance and stability.
method Evolution strategies (ES) applied to unrolled graphs, with a single perturbation per particle.
result ES-Single reduces variance compared to PES, leading to better performance in various tasks.

This paper analyzes the generalization risk of unrolled neural networks using Stein's Unbiased Risk Estimator.

problem Analyzing the generalization risk of unrolled neural networks and its relationship to network design and train sample size.
method Using Stein's Unbiased Risk Estimator (SURE), the paper analyzes the generalization risk with bias and variance components for recurrent unrolled networks, focusing on the degrees-of-freedom (DOF) component and the trace of the end-to-end network Jacobian.
result DOF is well-approximated by the weighted path sparsity of the network under incoherence conditions on the trained weights, and DOF increases with train sample size and converges to the generalization risk for both recurrent and non-recurrent schemes.

PUDLE method analyzes and improves unrolled sparse coding networks for dictionary learning.

problem Dictionary learning problem, representing data as a combination of few atoms.
method PUDLE method addresses challenges in unrolled sparse coding networks through theoretical analysis and practical strategies.
result PUDLE method provides conditions for recovering and preserving the support of the latent code, and resolves bias and instability issues.

RC reduces neural network redundancy and improves performance through independent BN layers.

problem Improving neural network performance and reducing redundancy.
method Recurrent convolution with independent batch normalization layers for different unrolling steps.
result The proposed method improves RC networks' performance and achieves cost-adjustable inference.

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.

The paper develops generalization bounds for deep compound Gaussian neural networks.

problem Developing theoretical guarantees for the performance of deep neural networks.
method Novel generalization error bounds using a compound Gaussian prior and Dudley's integral.
result Theoretical bounds show generalization error scales O(nln(n))\mathcal{O}(n\sqrt{\ln(n)}) in signal dimension and O((NetworkSize)3/2)\mathcal{O}((Network Size)^{3/2}) in network size.

We discuss an approach to quantum gerbes over quantum groups in terms of q-deformation of transition functions for a loop group bundle. The case of the quantum group SUq(2) is treated in some detail.

2003-08-25abs ↗pdf ↗

Restricts quantum representations of mapping class groups to integral coefficients.

problem Integrality of non-semisimple quantum representations of mapping class groups.
method Exhibits explicit bases of states spaces that span Z[ζ]\mathbb{Z}[ζ]-lattices invariant under mapping class groups.
result Restricts quantum representations to integral coefficients from Q(ζ)\mathbb{Q}(ζ) to Z[ζ]\mathbb{Z}[ζ].

We introduce a method to stabilize Generative Adversarial Networks (GANs) by defining the generator objective with respect to an unrolled optimization of the discriminator. This allows training to be adjusted between using the optimal discriminator in the generator's objective, which is ideal but infeasible in practice…

2016-11-07abs ↗pdf ↗

It is shown that there is a CC^*-algebraic quantum group related to any double Lie group. An algebra underlying this quantum group is an algebra of a differential groupoid naturally associated with a double Lie group

2002-03-11abs ↗pdf ↗

Quantum theory constructs a group and skein module for knot complements.

problem Understanding the fundamental group of knot complements using quantum methods.
method Using bottom tangles, the universal space of quantum representations is constructed, then factored by the skein relation to get the skein module.
result Derives recurrence relation for the colored Jones polynomial, known as AqA_q polynomial.

Quantum theory of curved tetrahedrons yields quantum group intertwiners.

problem Quantum geometry of curved tetrahedrons and their intertwiners.
method Combinatorial quantization of tetrahedron phase space, relating to SU(2) flat connections.
result Physical Hilbert space coincides with Uq(su(2)) intertwiners, consistent with LQG area spectrum.

Quantum affine bundles are quantum principal bundles with affine quantum structure groups. A general theory of quantum affine bundles is presented. In particular, a detailed analysis of differential calculi over these bundles is performed, including the description of a natural differential calculus over the structure …

1999-08-10abs ↗pdf ↗

If a compact quantum group acts faithfully and smoothly (in the sense of Goswami 2009) on a smooth, compact, oriented, connected Riemannian manifold such that the action induces a natural bimodule morphism on the module of sections of the co-tangent bundle, then it is proved that the quantum group is necessarily commut…

2012-07-27abs ↗pdf ↗

We expose a K-theoretic approach to study group C*-algebras and C*-algebraic compact quantum groups: 1. The conception of multidimensional geometric quantization and the index of group C*-algebras; 2. the entire homology of noncommutative de Rham currents and the noncommutative Chern characters, and their computation f…

1998-08-06abs ↗pdf ↗

This paper accelerates TV regularization algorithms by unrolling proximal gradient descent.

problem Solving Total Variation (TV) regularized problems with iterative algorithms.
method Unrolling proximal gradient descent solvers to learn their parameters.
result Two approaches to compute derivatives through proximal operators improve performance.

Transformers interpreted as probabilistic Laplacian Eigenmaps steps.

problem Improving transformer performance through probabilistic interpretation.
method Probabilistic Laplacian Eigenmaps model derivation and graph diffusion step.
result Subtracting identity from attention matrix improves transformer performance.

Suppose that a compact quantum group Q acts faithfully and isomet- rically (in the sense of [10]) on a smooth compact, oriented, connected Riemannian manifold M . If the manifold is stably parallelizable then it is shown that the compact quantum group is necessarily commutative as a C \ast algebra i.e. Q = C(G) for som…

2012-06-08abs ↗pdf ↗