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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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48 results for LOT groups

The paper describes the structure of injective LOT-complexes and proves they are aspherical.

problem The unresolved asphericity question for labeled oriented trees encoding spines of ribbon discs.
method Complete description of the link of a reduced injective LOT complex, proving asphericity.
result Reduced injective LOT complexes are aspherical, with specific conditions for non-boundary sub-LOTs.

Investigates local indicability of groups with circle homology presentations.

problem Conditions for local indicability in groups with circle homology presentations.
method Generalizes results for two-relator presentations to circle homology presentations.
result Extends results on local indicability to LOT groups and non-cycle-free Adian presentations.

Study on weakly G-slim complexes and non-positive immersions for group presentations.

problem Conditions for non-positive immersions in group presentations.
method Investigation of weakly G-slim complexes and their relationship to left-orderable groups.
result Conditions on generalized Wirtinger presentations guaranteeing non-positive immersions for their associated 2-complexes.

Differential invariants of a (pseudo)group action can vary when restricted to invariant submanifolds (differential equations). The algebra is still governed by the Lie-Tresse theorem, but may change a lot. We describe in details the case of the motion group O(n)RnO(n)\ltimes\R^n acting on the full (unconstraint) jet-space …

2007-12-20abs ↗pdf ↗

The special linear groups, the mapping class groups of surfaces, the outer autormorphism groups of free groups appear in numerous domains. Their analogies, developped in particular in K. Vogtmann's work, have been written about a lot. In this report, we concentrate on the contractible spaces on which these groups act i…

2011-10-02abs ↗pdf ↗

(1) We show that if a presentation of the trivial group is "hard to trivialize", in the sense that lots of Tietze moves are necessary to transform it into the trivial presentation, then the associated presentation complex (which is a contractible 2-dimensional cell complex) is "hard to embed in R3\mathbb{R}^3", in the …

2014-03-20abs ↗pdf ↗

We compute the automorphism group of OT manifolds of simple type. We show that the graded pieces under a natural filtration are related to a certain ray class group of the underlying number field. This does not solve the open question whether the geometry of the OT manifold sees the class number directly, but brings us…

2018-07-30abs ↗pdf ↗

Let UU be an arbitrary word in letters x1±1,...,xm±1x_1^{\pm 1}, ..., x_m^{\pm 1} and m2m \ge 2. We prove that the group presentation <x1,...,xm UxiU1=xi+1,i=1,...,m1><x_1, ..., x_m \|\ U x_i U^{-1} = x_{i+1}, i=1,..., m-1> is aspherical. The proof is based upon prior partial results of A. Klyachko and the author on the asphericity of such presentations.

2002-10-13abs ↗pdf ↗

A classical result of H. S. M. Coxeter asserts that a certain quotient B(m,n)B(m,n) of the braid group B(m)B(m) on mm strands is finite if and only if (m,n)(m,n) corresponds to the type of one of the five Platonic solids. If k{\bf k} is a knot or virtual knot, one can study similar quotients G(k,n)G({\bf k}, n) for the correspond…

2015-05-23abs ↗pdf ↗

Globally irreducible nodes (i.e. nodes whose branches belong to the same irreducible component) have mild effects on the most common topological invariants of an algebraic curve. In other words, adding a globally irreducible node (simple nodal degeneration) to a curve should not change them a lot. In this paper we stud…

2004-11-15abs ↗pdf ↗

LOT framework embeds high-dimensional cell data into interpretable Euclidean space.

problem Lack of interpretable methods for high-dimensional cell data.
method Adapts Linear Optimal Transport (LOT) to irregular point clouds.
result Accurate and interpretable classification and synthetic data generation.

Certain subgroups of the groups Aut(Fn)Aut(F_n) of automorphisms of a free group FnF_n are considered. Comparing Alexander polynomials of two poly-free groups Cb4+Cb_4^+ and P4P_4 we prove that these groups are not isomorphic, despite the fact that they have a lot of common properties. This answers the question of Cohen-Pakia…

2007-01-16abs ↗pdf ↗

LOT improves adversarial robustness by training 1-Lipschitz convolution layers.

problem Improving adversarial robustness of deep neural networks.
method LOT: Layer-wise Orthogonal Training for 1-Lipschitz convolution layers.
result LOT significantly enhances certified robustness of Lipschitz-bounded models.

LOT embeds distributions for linear separability and classification.

problem Distribution discrimination in various scientific fields.
method Linear Optimal Transport (LOT) embedding into L2L^2 space.
result LOT embeds distributions into linearly separable spaces for certain transformations and perturbations.

We study deformations of symplectic structures on a smooth manifold MM via the quasi-Poisson theory. By a fact, we can deform a given symplectic structure ωω to a new symplectic structure ωtω_t parametrized by some element tt in Λ2gΛ^2\mathfrak{g}, where g\mathfrak{g} is the Lie algebra of a Lie group GG. Moreover,…

2016-05-09abs ↗pdf ↗

The Wong-Rosay theorem characterizes the strongly pseudoconvex domains of Cn\mathbb{C}^n by their automorphism groups. It has a lot of generalizations to other kinds of domains (for example, the weakly pseudoconvex domains). However, most of them are for domains of Cn\mathbb{C}^n. In this note, we generalize the Wong-R…

2014-07-18abs ↗pdf ↗

An impossibility result shows limitations in learning symmetries and equivariant functions.

problem Learning symmetries and equivariant functions simultaneously is impossible under certain conditions.
method Careful study of approximation for groups and semigroups, analysis of neural networks.
result Linearly equivariant networks can be used to learn equivariant functions, but group-convolutional networks have limitations.

We consider a class of learning problems that involve a structured sparsity-inducing norm defined as the sum of \ell_\infty-norms over groups of variables. Whereas a lot of effort has been put in developing fast optimization methods when the groups are disjoint or embedded in a specific hierarchical structure, we add…

2010-08-31abs ↗pdf ↗

Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been published resulting in various models. Meanwhile, within the Machine Learning (ML) field, Deep Learning (DL) started getting a lot of attention recently, mostl…

2020-02-09abs ↗pdf ↗

A labeled oriented graph (LOG) is an oriented graph with a labeling function from the edge set into the vertex set. The complexity of a LOG is the minimal cardinality of an initial set SS of vertices such that every vertex can be reached successively from SS only using edges with labels in SS or already visited vert…

2014-12-23abs ↗pdf ↗

Let Σg,bΣ_{g,b} denote a closed oriented surface genus gg with bb punctures and let Modg,bMod_{g,b} denote its mapping class group. Luo proved that if the genus is at least 3, the group Modg,bMod_{g,b} is generated by involutions. He also asked if there exists a universal upper bound, independent of genus and the number of pun…

2003-11-25abs ↗pdf ↗

This paper is devoted to a systematic study of the geometry of nondegenerate $\bbR^n$-actions on nn-manifolds. The motivations for this study come from both dynamics, where these actions form a special class of integrable dynamical systems and the understanding of their nature is important for the study of other Hamil…

2012-03-13abs ↗pdf ↗

A new method uses model gradients to improve fairness without relying on demographic data.

problem Algorithmic fairness issues due to missing demographic information and complex interactions.
method Learning a graph of gradients to identify and improve group fairness robustly to noise.
result Significantly improves fairness without sacrificing overall accuracy.

We compute the mod pp homology growth of residual sequences of finite index normal subgroups of right-angled Artin groups. We find examples where this differs from the rational homology growth, which implies the homology of subgroups in the sequence has lots of torsion. More precisely, the homology torsion grows expon…

2020-03-02abs ↗pdf ↗

With the usual definition of a super Hilbert space and a super unitary representation, it is easy to show that there are lots of super Lie groups for which the left-regular representation is not super unitary. I will argue that weakening the definition of a super Hilbert space (by allowing the super scalar product to b…

2017-11-01abs ↗pdf ↗

The paper uses causal machine learning to optimize rework decisions in manufacturing.

problem Optimizing rework policies in manufacturing systems to balance yield improvement and rework costs.
method Proposes a causal model using double/debiased machine learning (DML) techniques to estimate conditional treatment effects and derive rework policies.
result Achieved a yield improvement of 2-3% during the color-conversion process of white LEDs.

pyLOT library simplifies machine learning on 3D point clouds via linearized optimal transport.

problem Performing machine learning tasks on 3D point clouds.
method Linearized optimal transport (LOT) to embed distributions into Hilbert space, enabling linear machine learning.
result Downstream tasks on embedded representations are simplified to linear operations.

New triangulations of quaternionic projective plane found with various symmetry groups.

problem Classifying triangulations of quaternionic projective plane with 15 vertices.
method Constructing and classifying 15-vertex triangulations with various symmetry groups.
result Exactly 75 triangulations of quaternionic projective plane with 15 vertices and symmetry group of order at least 4.

Variable selection for models including interactions between explanatory variables often needs to obey certain hierarchical constraints. The weak or strong structural hierarchy requires that the existence of an interaction term implies at least one or both associated main effects to be present in the model. Lately, thi…

2014-11-17abs ↗pdf ↗

In many learning tasks, structural models usually lead to better interpretability and higher generalization performance. In recent years, however, the simple structural models such as lasso are frequently proved to be insufficient. Accordingly, there has been a lot of work on "superposition-structured" models where mul…

2015-09-08abs ↗pdf ↗