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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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265278104 · Jun 202019922001200920172026
48 results for formal stacks

Introduces a new geometric framework for non-perturbative BV-theory.

problem Non-perturbative generalization of BV-theory in infinite-dimensional spaces.
method Derived differential geometry and homotopical algebraic geometry.
result Concrete model of derived smooth stacks for encoding non-perturbative BV-theory.

This article constructs the moduli stack of torsionfree GG-jet-structures in homotopy type theory with one monadic modality. This yields a construction of this moduli stack for any \infty-topos equipped with any stable factorization systems. In the intended applications of this theory, the factorization systems are …

2018-06-15abs ↗pdf ↗

Constructs moduli stacks for quiver connections and extends non-Abelian Hodge theory.

problem Extending non-Abelian Hodge theory to moduli stacks of quiver connections.
method Formalizes and constructs moduli stacks of bundles with λ-connections over prestacks.
result Shows moduli stacks are algebraic and locally of finite presentation when base is smooth and projective.

Study moduli spaces of elliptic PDEs using derived CC^{\infty}-geometry.

problem Representability of moduli spaces of solutions of elliptic PDEs.
method Derived CC^{\infty}-geometry, stacks of relative jets, nonlinear Fredholm analysis.
result Moduli stack of solutions is relatively representable by quasi-smooth derived CC^{\infty}-schemes.

In this paper we study the topological T-dual of spaces with a non-free circle action mainly using the stack theory method of Bunke and co-workers \cite{Bunke1}. We first compare three formalisms for obtaining the Topological T-dual of a semi-free S1S^1-space in a simple example. Then, we calculate the T-dual of genera…

2013-12-06abs ↗pdf ↗

The higher gauge field in 11-dimensional supergravity -- the C-field -- is constrained by quantum effects to be a cocycle in some twisted version of differential cohomology. We argue that it should indeed be a cocycle in a certain twisted nonabelian differential cohomology. We give a simple and natural characterization…

2012-02-11abs ↗pdf ↗

A new mathematical approach to general covariance using stacks and Lie algebras.

problem Understanding general covariance in curved spacetime field theories.
method Using stacks and groupoids to study the quotient of metrics modulo diffeomorphism, and analyzing the tangent complex and Lie algebra actions.
result Recovering a novel expression for the stress-energy tensor in scalar field theories.

A new framework for robot block-stacking tasks using causal probabilistic models.

problem Robots fail outside controlled environments due to uncertainty and lack of explicit design for all scenarios.
method Causal probabilistic framework combining causal models and probabilistic representations of noise.
result Robots can perceive, reason about, and explain their environment for block-stacking tasks.

In this short note, we compute the Betti numbers of the moduli stack of flat SU(3)-bundles over a Klein bottle. We also handle the general compact group case over RP^2. In all cases the cohomology is found to be equivariantly formal, supporting a conjecture from the author's doctoral thesis. Our results also verify con…

2009-01-12abs ↗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.

For G a complex reductive group and X a smooth projective or convex quasi-projective polarized G-variety we construct a formal map in quantum K-theory from the equivariant quantum K-theory QKG(X)QK^G(X) to the quantum K-theory of the git quotient QK(X//G)QK(X//G) assuming the quotient X//GX//G is a smooth Deligne-Mumford stack wit…

2019-11-08abs ↗pdf ↗

Classifies singular foliations of a specific type and studies their extensions.

problem Classifying singular foliations of a particular type and understanding their extensions.
method Introduces and classifies singular foliations of bk+1b^{k+1}-type, proving they are encoded by kk-th order foliations.
result Singular foliations of bk+1b^{k+1}-type are encoded by kk-th order foliations, and these groupoids fiber over certain character stacks.

The Liouville symplectic form connects various moduli spaces in algebraic geometry.

problem Understanding connections between different moduli spaces in algebraic geometry.
method Using the Liouville symplectic structure on the cotangent bundle of a loop group.
result Induces symplectic structures on moduli stacks and spaces of framed connections.

Stacking is a general approach for combining multiple models toward greater predictive accuracy. It has found various application across different domains, ensuing from its meta-learning nature. Our understanding, nevertheless, on how and why stacking works remains intuitive and lacking in theoretical insight. In this …

2019-01-26abs ↗pdf ↗

We review the basic definition of a stack and apply it to the topological and smooth settings. We then address two subtleties of the theory: the correct definition of a ``stack over a stack'' and the distinction between small stacks (which are algebraic objects) and large stacks (which are generalized spaces).

2003-06-10abs ↗pdf ↗

In this article, we derive many properties of étale stacks in various contexts, and prove that étale stacks may be characterized categorically as those stacks that arise as prolongations of stacks on a site of spaces and local homeomorphisms. Moreover, we show that the bicategory of étale differentiable stacks and loca…

2012-12-11abs ↗pdf ↗

New neural stack and Turing Machine architectures prove stability and computational power.

problem Designing stable neural network architectures for Turing Machine simulation.
method Introducing neural stack and Turing Machine architectures, proving stability and computational equivalence.
result Differentiable nnTM with bounded neurons can simulate Turing Machine in real-time and is equivalent to UTM.

Bayesian stacking improves model performance with varying model weights.

problem Improving model predictions with heterogeneous input performance.
method Bayesian hierarchical stacking with varying model weights inferred via Bayesian inference.
result Hierarchical stacking yields better predictions than linear averaging.

We generalize the notion of a small sheaf of sets over a topological space or manifold to define the notion of a small stack of groupoids over an étale topological or differentiable stack. We then provide a construction analogous to the étalé space construction in this context, establishing an equivalence of 2-categori…

2010-11-28abs ↗pdf ↗

Solves differentiation for Lie ∞-groups using formal groupoids.

problem Differentiation of Lie ∞-groups.
method Develops homotopy theory of formal ∞-groupoids and analyzes Dold-Kan adjunction for cosimplicial algebras.
result Differentiation functor from finite-dimensional Lie ∞-groups to finite-type Lie ∞-algebras is homotopically well-behaved.

This work characterizes global quotient stacks---smooth stacks associated to a finite group acting a manifold---among smooth quotient stacks [M/G][M/G], where MM is a smooth manifold equipped with a smooth proper action by a Lie group GG. The characterization is described in terms of the action of the connected componen…

2013-02-02abs ↗pdf ↗

Study connections on Lie groupoids and stacks using Atiyah sequences.

problem No specific problem stated; general connections on Lie groupoids and stacks.
method Construct connections using Atiyah sequences associated with transversal tangential distributions.
result Detailed study and construction of connections on Lie groupoids and stacks.

In this paper, we consider diffeological spaces as stacks over the site of smooth manifolds, as well as the "underlying" diffeological space of any stack. More precisely, we consider diffeological spaces as so-called concrete sheaves and show that the Grothendieck construction sending these sheaves to stacks has a left…

2014-06-05abs ↗pdf ↗

Constructs moduli stacks of quiver bundles and applies to Higgs bundles.

problem Classifying morphisms of vector bundles over a fixed base.
method General method for constructing moduli stacks of diagrams of vector bundles indexed by a simplicial set.
result Recovery of Nakajima quiver varieties and alternate construction of moduli stacks of Higgs bundles.

We study compositional generalization, viz., the problem of zero-shot generalization to novel compositions of concepts in a domain. Standard neural networks fail to a large extent on compositional learning. We propose Tree Stack Memory Units (Tree-SMU) to enable strong compositional generalization. Tree-SMU is a recurs…

2019-11-05abs ↗pdf ↗

This thesis is divided into four chapters. The first chapter discusses the relationship between stacks on a site and groupoids internal to the site. It includes a rigorous proof of the folklore result that there is an equivalence between the bicategory of internal groupoids and the bicategory of geometric stacks. The s…

2018-06-05abs ↗pdf ↗

For a compact manifold M and a differentiable stack \cX presented by a Lie groupoid X, we show the Hom-stack Hom(M,\cX) is presented by a Fréchet-Lie groupoid Map(M,X) and so is an infinite-dimensional differentiable stack. We further show that if \cX is an orbifold, presented by a proper étale Lie groupoid, then Map(M…

2016-10-19abs ↗pdf ↗

We propose a novel stacked generalization (stacking) method as a dynamic ensemble technique using a pool of heterogeneous classifiers for node label classification on networks. The proposed method assigns component models a set of functional coefficients, which can vary smoothly with certain topological features of a n…

2016-10-16abs ↗pdf ↗

Paper proves stacking ensembling is effective and proposes a new family of stacked generalizations.

problem Lack of theoretical guarantees for stacking ensembling methods.
method Proves novel theoretical result and proposes a new family of stacked generalizations.
result Proves stacking ensembling is effective and proposes a new family of stacked generalizations.

The paper studies higher geometric structures and connections on manifolds, constructing moduli stacks and proving equivalence criteria.

problem Classifying and understanding higher geometric structures and connections on manifolds.
method Constructing smooth higher symmetry groups, moduli stacks, and higher gauge actions; proving equivalence criteria.
result Construction and classification of moduli stacks of higher geometric data and connections.

Researchers compute differential K-theory for moduli stacks.

problem Computing differential K-theory for moduli stacks of principal G-bundles.
method Using homotopy theory of presheaves of spaces and spectra, they formulate results in terms of invariant polynomials and representation rings.
result They successfully compute the connective differential K-theory and differential cohomology of moduli stacks.